AigenLabs Agent

Configure, extend, or contribute to AigenLabs Agent.

Skill metadata


Source	Bundled (installed by default)
Path	`skills/autonomous-ai-agents/aigenlabs-agent`
Version	`2.1.0`
Author	AigenLabs Agent + Teknium
License	MIT
Platforms	linux, macos, windows
Tags	`aigenlabs`, `setup`, `configuration`, `multi-agent`, `spawning`, `cli`, `gateway`, `development`
Related skills	`claude-code`, `codex`, `opencode`

Reference: full SKILL.md

info

The following is the complete skill definition that AigenLabs loads when this skill is triggered. This is what the agent sees as instructions when the skill is active.

AigenLabs Agent

AigenLabs Agent is an open-source AI agent framework by AigenLabs that runs in your terminal, messaging platforms, and IDEs. It belongs to the same category as Claude Code (Anthropic), Codex (OpenAI), and OpenClaw — autonomous coding and task-execution agents that use tool calling to interact with your system. AigenLabs works with any LLM provider (OpenRouter, Anthropic, OpenAI, DeepSeek, local models, and 15+ others) and runs on Linux, macOS, and WSL.

What makes AigenLabs different:

Self-improving through skills — AigenLabs learns from experience by saving reusable procedures as skills. When it solves a complex problem, discovers a workflow, or gets corrected, it can persist that knowledge as a skill document that loads into future sessions. Skills accumulate over time, making the agent better at your specific tasks and environment.
Persistent memory across sessions — remembers who you are, your preferences, environment details, and lessons learned. Pluggable memory backends (built-in, Honcho, Mem0, and more) let you choose how memory works.
Multi-platform gateway — the same agent runs on Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Email, and 10+ other platforms with full tool access, not just chat.
Provider-agnostic — swap models and providers mid-workflow without changing anything else. Credential pools rotate across multiple API keys automatically.
Profiles — run multiple independent AigenLabs instances with isolated configs, sessions, skills, and memory.
Extensible — plugins, MCP servers, custom tools, webhook triggers, cron scheduling, and the full Python ecosystem.

People use AigenLabs for software development, research, system administration, data analysis, content creation, home automation, and anything else that benefits from an AI agent with persistent context and full system access.

This skill helps you work with AigenLabs Agent effectively — setting it up, configuring features, spawning additional agent instances, troubleshooting issues, finding the right commands and settings, and understanding how the system works when you need to extend or contribute to it.

Docs: https://docs.aigenlabs.vn/

Quick Start

# Install
curl -fsSL https://docs.aigenlabs.vn/install.sh | bash

# Interactive chat (default)
aigenlabs

# Single query
aigenlabs chat -q "What is the capital of France?"

# Setup wizard
aigenlabs setup

# Change model/provider
aigenlabs model

# Check health
aigenlabs doctor

CLI Reference

Global Flags

aigenlabs [flags] [command]

  --version, -V             Show version
  --resume, -r SESSION      Resume session by ID or title
  --continue, -c [NAME]     Resume by name, or most recent session
  --worktree, -w            Isolated git worktree mode (parallel agents)
  --skills, -s SKILL        Preload skills (comma-separate or repeat)
  --profile, -p NAME        Use a named profile
  --yolo                    Skip dangerous command approval
  --pass-session-id         Include session ID in system prompt

No subcommand defaults to chat.

Chat

aigenlabs chat [flags]
  -q, --query TEXT          Single query, non-interactive
  -m, --model MODEL         Model (e.g. anthropic/claude-sonnet-4)
  -t, --toolsets LIST       Comma-separated toolsets
  --provider PROVIDER       Force provider (openrouter, anthropic, nous, etc.)
  -v, --verbose             Verbose output
  -Q, --quiet               Suppress banner, spinner, tool previews
  --checkpoints             Enable filesystem checkpoints (/rollback)
  --source TAG              Session source tag (default: cli)

Configuration

aigenlabs setup [section]      Interactive wizard (model|terminal|gateway|tools|agent)
aigenlabs model                Interactive model/provider picker
aigenlabs config               View current config
aigenlabs config edit          Open config.yaml in $EDITOR
aigenlabs config set KEY VAL   Set a config value
aigenlabs config path          Print config.yaml path
aigenlabs config env-path      Print .env path
aigenlabs config check         Check for missing/outdated config
aigenlabs config migrate       Update config with new options
aigenlabs auth                 Interactive credential manager
aigenlabs auth add PROVIDER    Add OAuth or API-key credential (e.g. nous, openai-codex, qwen-oauth)
aigenlabs auth list            List stored credentials
aigenlabs auth remove PROVIDER Remove a stored credential
aigenlabs doctor [--fix]       Check dependencies and config
aigenlabs status [--all]       Show component status

Tools & Skills

aigenlabs tools                Interactive tool enable/disable (curses UI)
aigenlabs tools list           Show all tools and status
aigenlabs tools enable NAME    Enable a toolset
aigenlabs tools disable NAME   Disable a toolset

aigenlabs skills list          List installed skills
aigenlabs skills search QUERY  Search the skills hub
aigenlabs skills install ID    Install a skill (ID can be a hub identifier OR a direct https://…/SKILL.md URL; pass --name to override when frontmatter has no name)
aigenlabs skills inspect ID    Preview without installing
aigenlabs skills config        Enable/disable skills per platform
aigenlabs skills check         Check for updates
aigenlabs skills update        Update outdated skills
aigenlabs skills uninstall N   Remove a hub skill
aigenlabs skills publish PATH  Publish to registry
aigenlabs skills browse        Browse all available skills
aigenlabs skills tap add REPO  Add a GitHub repo as skill source

MCP Servers

aigenlabs mcp serve            Run AigenLabs as an MCP server
aigenlabs mcp add NAME         Add an MCP server (--url or --command)
aigenlabs mcp remove NAME      Remove an MCP server
aigenlabs mcp list             List configured servers
aigenlabs mcp test NAME        Test connection
aigenlabs mcp configure NAME   Toggle tool selection

How the built-in MCP client connects servers (stdio/HTTP), auto-discovers their tools, and exposes them as first-class tools, plus catalog install (aigenlabs mcp install <name>): skill_view(name="aigenlabs-agent", file_path="references/native-mcp.md").

Gateway (Messaging Platforms)

aigenlabs gateway run          Start gateway foreground
aigenlabs gateway install      Install as background service
aigenlabs gateway start/stop   Control the service
aigenlabs gateway restart      Restart the service
aigenlabs gateway status       Check status
aigenlabs gateway setup        Configure platforms

Supported platforms: Telegram, Discord, Slack, WhatsApp, Signal, Email, SMS, Matrix, Mattermost, Home Assistant, DingTalk, Feishu, WeCom, BlueBubbles (iMessage), Weixin (WeChat), API Server, Webhooks. Open WebUI connects via the API Server adapter.

Platform docs: https://docs.aigenlabs.vn/user-guide/messaging/

Sessions

aigenlabs sessions list        List recent sessions
aigenlabs sessions browse      Interactive picker
aigenlabs sessions export OUT  Export to JSONL
aigenlabs sessions rename ID T Rename a session
aigenlabs sessions delete ID   Delete a session
aigenlabs sessions prune       Clean up old sessions (--older-than N days)
aigenlabs sessions stats       Session store statistics

Cron Jobs

aigenlabs cron list            List jobs (--all for disabled)
aigenlabs cron create SCHED    Create: '30m', 'every 2h', '0 9 * * *'
aigenlabs cron edit ID         Edit schedule, prompt, delivery
aigenlabs cron pause/resume ID Control job state
aigenlabs cron run ID          Trigger on next tick
aigenlabs cron remove ID       Delete a job
aigenlabs cron status          Scheduler status

Webhooks

aigenlabs webhook subscribe N  Create route at /webhooks/<name>
aigenlabs webhook list         List subscriptions
aigenlabs webhook remove NAME  Remove a subscription
aigenlabs webhook test NAME    Send a test POST

Full setup, route config, payload templating, and event-driven agent-run patterns: skill_view(name="aigenlabs-agent", file_path="references/webhooks.md").

Profiles

aigenlabs profile list         List all profiles
aigenlabs profile create NAME  Create (--clone, --clone-all, --clone-from)
aigenlabs profile use NAME     Set sticky default
aigenlabs profile delete NAME  Delete a profile
aigenlabs profile show NAME    Show details
aigenlabs profile alias NAME   Manage wrapper scripts
aigenlabs profile rename A B   Rename a profile
aigenlabs profile export NAME  Export to tar.gz
aigenlabs profile import FILE  Import from archive

Credential Pools

aigenlabs auth add             Interactive credential wizard
aigenlabs auth list [PROVIDER] List pooled credentials
aigenlabs auth remove P INDEX  Remove by provider + index
aigenlabs auth reset PROVIDER  Clear exhaustion status

Other

aigenlabs insights [--days N]  Usage analytics
aigenlabs update               Update to latest version
aigenlabs pairing list/approve/revoke  DM authorization
aigenlabs plugins list/install/remove  Plugin management
aigenlabs honcho setup/status  Honcho memory integration (requires honcho plugin)
aigenlabs memory setup/status/off  Memory provider config
aigenlabs completion bash|zsh  Shell completions
aigenlabs acp                  ACP server (IDE integration)
aigenlabs claw migrate         Migrate from OpenClaw
aigenlabs uninstall            Uninstall AigenLabs

Slash Commands (In-Session)

Type these during an interactive chat session. New commands land fairly often; if something below looks stale, run /help in-session for the authoritative list or see the live slash commands reference. The registry of record is aigenlabs_cli/commands.py — every consumer (autocomplete, Telegram menu, Slack mapping, /help) derives from it.

Session Control

/new (/reset)        Fresh session
/clear               Clear screen + new session (CLI)
/retry               Resend last message
/undo                Remove last exchange
/title [name]        Name the session
/compress            Manually compress context
/stop                Kill background processes
/rollback [N]        Restore filesystem checkpoint
/snapshot [sub]      Create or restore state snapshots of AigenLabs config/state (CLI)
/background <prompt> Run prompt in background
/queue <prompt>      Queue for next turn
/steer <prompt>      Inject a message after the next tool call without interrupting
/agents (/tasks)     Show active agents and running tasks
/resume [name]       Resume a named session
/goal [text|sub]     Set a standing goal AigenLabs works on across turns until achieved
                     (subcommands: status, pause, resume, clear)
/redraw              Force a full UI repaint (CLI)

Configuration

/config              Show config (CLI)
/model [name]        Show or change model
/personality [name]  Set personality
/reasoning [level]   Set reasoning (none|minimal|low|medium|high|xhigh|show|hide)
/verbose             Cycle: off → new → all → verbose
/voice [on|off|tts]  Voice mode
/yolo                Toggle approval bypass
/busy [sub]          Control what Enter does while AigenLabs is working (CLI)
                     (subcommands: queue, steer, interrupt, status)
/indicator [style]   Pick the TUI busy-indicator style (CLI)
                     (styles: kaomoji, emoji, unicode, ascii)
/footer [on|off]     Toggle gateway runtime-metadata footer on final replies
/skin [name]         Change theme (CLI)
/statusbar           Toggle status bar (CLI)

Tools & Skills

/tools               Manage tools (CLI)
/toolsets            List toolsets (CLI)
/skills              Search/install skills (CLI)
/skill <name>        Load a skill into session
/reload-skills       Re-scan ~/.aigenlabs/skills/ for added/removed skills
/reload              Reload .env variables into the running session (CLI)
/reload-mcp          Reload MCP servers
/cron                Manage cron jobs (CLI)
/curator [sub]       Background skill maintenance (status, run, pin, archive, …)
/kanban [sub]        Multi-profile collaboration board (tasks, links, comments)
/plugins             List plugins (CLI)

Gateway

/approve             Approve a pending command (gateway)
/deny                Deny a pending command (gateway)
/restart             Restart gateway (gateway)
/sethome             Set current chat as home channel (gateway)
/update              Update AigenLabs to latest (gateway)
/topic [sub]         Enable or inspect Telegram DM topic sessions (gateway)
/platforms (/gateway) Show platform connection status (gateway)

Utility

/branch (/fork)      Branch the current session
/fast                Toggle priority/fast processing
/browser             Open CDP browser connection
/history             Show conversation history (CLI)
/save                Save conversation to file (CLI)
/copy [N]            Copy the last assistant response to clipboard (CLI)
/paste               Attach clipboard image (CLI)
/image               Attach local image file (CLI)

Info

/help                Show commands
/commands [page]     Browse all commands (gateway)
/usage               Token usage
/insights [days]     Usage analytics
/gquota              Show Google Gemini Code Assist quota usage (CLI)
/status              Session info (gateway)
/profile             Active profile info
/debug               Upload debug report (system info + logs) and get shareable links

Exit

/quit (/exit, /q)    Exit CLI

Key Paths & Config

~/.aigenlabs/config.yaml       Main configuration
~/.aigenlabs/.env              API keys and secrets
$AIGENLABS_HOME/skills/        Installed skills
~/.aigenlabs/sessions/         Gateway routing index, request dumps, *.jsonl transcripts (and optional per-session JSON snapshots when sessions.write_json_snapshots: true)
~/.aigenlabs/state.db          Canonical session store (SQLite + FTS5)
~/.aigenlabs/logs/             Gateway and error logs
~/.aigenlabs/auth.json         OAuth tokens and credential pools
~/.aigenlabs/aigenlabs-agent/     Source code (if git-installed)

Profiles use ~/.aigenlabs/profiles/<name>/ with the same layout.

Config Sections

Edit with aigenlabs config edit or aigenlabs config set section.key value.

Section	Key options
`model`	`default`, `provider`, `base_url`, `api_key`, `context_length`
`agent`	`max_turns` (90), `tool_use_enforcement`
`terminal`	`backend` (local/docker/ssh/modal), `cwd`, `timeout` (180)
`compression`	`enabled`, `threshold` (0.50), `target_ratio` (0.20)
`display`	`skin`, `tool_progress`, `show_reasoning`, `show_cost`
`stt`	`enabled`, `provider` (local/groq/openai/mistral)
`tts`	`provider` (edge/elevenlabs/openai/minimax/mistral/neutts)
`memory`	`memory_enabled`, `user_profile_enabled`, `provider`
`security`	`tirith_enabled`, `website_blocklist`
`delegation`	`model`, `provider`, `base_url`, `api_key`, `max_iterations` (50), `reasoning_effort`
`checkpoints`	`enabled`, `max_snapshots` (50)

Full config reference: https://docs.aigenlabs.vn/user-guide/configuration

Providers

20+ providers supported. Set via aigenlabs model or aigenlabs setup.

Provider	Auth	Key env var
OpenRouter	API key	`OPENROUTER_API_KEY`
Anthropic	API key	`ANTHROPIC_API_KEY`
Nous Portal	OAuth	`aigenlabs auth`
OpenAI Codex	OAuth	`aigenlabs auth`
GitHub Copilot	Token	`COPILOT_GITHUB_TOKEN`
Google Gemini	API key	`GOOGLE_API_KEY` or `GEMINI_API_KEY`
DeepSeek	API key	`DEEPSEEK_API_KEY`
xAI / Grok	API key	`XAI_API_KEY`
Hugging Face	Token	`HF_TOKEN`
Z.AI / GLM	API key	`GLM_API_KEY`
MiniMax	API key	`MINIMAX_API_KEY`
MiniMax CN	API key	`MINIMAX_CN_API_KEY`
Kimi / Moonshot	API key	`KIMI_API_KEY`
Alibaba / DashScope	API key	`DASHSCOPE_API_KEY`
Xiaomi MiMo	API key	`XIAOMI_API_KEY`
Kilo Code	API key	`KILOCODE_API_KEY`
OpenCode Zen	API key	`OPENCODE_ZEN_API_KEY`
OpenCode Go	API key	`OPENCODE_GO_API_KEY`
Qwen OAuth	OAuth	`aigenlabs auth add qwen-oauth`
Custom endpoint	Config	`model.base_url` + `model.api_key` in config.yaml
GitHub Copilot ACP	External	`COPILOT_CLI_PATH` or Copilot CLI

Full provider docs: https://docs.aigenlabs.vn/integrations/providers

Toolsets

Enable/disable via aigenlabs tools (interactive) or aigenlabs tools enable/disable NAME.

Toolset	What it provides
`web`	Web search and content extraction
`search`	Web search only (subset of `web`)
`browser`	Browser automation (Browserbase, Camofox, or local Chromium)
`terminal`	Shell commands and process management
`file`	File read/write/search/patch
`code_execution`	Sandboxed Python execution
`vision`	Image analysis
`image_gen`	AI image generation
`video`	Video analysis and generation
`tts`	Text-to-speech
`skills`	Skill browsing and management
`memory`	Persistent cross-session memory
`session_search`	Search past conversations
`delegation`	Subagent task delegation
`cronjob`	Scheduled task management
`clarify`	Ask user clarifying questions
`messaging`	Cross-platform message sending
`todo`	In-session task planning and tracking
`kanban`	Multi-agent work-queue tools (gated to workers)
`debugging`	Extra introspection/debug tools (off by default)
`safe`	Minimal, low-risk toolset for locked-down sessions
`spotify`	Spotify playback and playlist control
`homeassistant`	Smart home control (off by default)
`discord`	Discord integration tools
`discord_admin`	Discord admin/moderation tools
`feishu_doc`	Feishu (Lark) document tools
`feishu_drive`	Feishu (Lark) drive tools
`yuanbao`	Yuanbao integration tools
`rl`	Reinforcement learning tools (off by default)
`moa`	Mixture of Agents (off by default)

Full enumeration lives in toolsets.py as the TOOLSETS dict; _AIGENLABS_CORE_TOOLS is the default bundle most platforms inherit from.

Tool changes take effect on /reset (new session). They do NOT apply mid-conversation to preserve prompt caching.

Security & Privacy Toggles

Common "why is AigenLabs doing X to my output / tool calls / commands?" toggles — and the exact commands to change them. Most of these need a fresh session (/reset in chat, or start a new aigenlabs invocation) because they're read once at startup.

Secret redaction in tool output

Secret redaction is on by default — tool output (terminal stdout, read_file, web content, subagent summaries, etc.) is scanned for strings that look like API keys, tokens, and secrets before it enters the conversation context and logs. Leave it enabled for normal use:

aigenlabs config set security.redact_secrets true       # keep enabled globally

Restart required. security.redact_secrets is snapshotted at import time — toggling it mid-session (e.g. via export AIGENLABS_REDACT_SECRETS=false from a tool call) will NOT take effect for the running process. Tell the user to change it in config from a terminal, then start a new session. This is deliberate — it prevents an LLM from flipping the toggle on itself mid-task.

Disable only when you deliberately need raw credential-like strings for debugging or redactor development:

aigenlabs config set security.redact_secrets false

PII redaction in gateway messages

Separate from secret redaction. When enabled, the gateway hashes user IDs and strips phone numbers from the session context before it reaches the model:

aigenlabs config set privacy.redact_pii true    # enable
aigenlabs config set privacy.redact_pii false   # disable (default)

Command approval prompts

By default (approvals.mode: manual), AigenLabs prompts the user before running shell commands flagged as destructive (rm -rf, git reset --hard, etc.). The modes are:

manual — always prompt (default)
smart — use an auxiliary LLM to auto-approve low-risk commands, prompt on high-risk
off — skip all approval prompts (equivalent to --yolo)

aigenlabs config set approvals.mode smart       # recommended middle ground
aigenlabs config set approvals.mode off         # bypass everything (not recommended)

Per-invocation bypass without changing config:

aigenlabs --yolo …
export AIGENLABS_YOLO_MODE=1

Note: YOLO / approvals.mode: off does NOT turn off secret redaction. They are independent.

Shell hooks allowlist

Some shell-hook integrations require explicit allowlisting before they fire. Managed via ~/.aigenlabs/shell-hooks-allowlist.json — prompted interactively the first time a hook wants to run.

Disabling the web/browser/image-gen tools

To keep the model away from network or media tools entirely, open aigenlabs tools and toggle per-platform. Takes effect on next session (/reset). See the Tools & Skills section above.

Voice & Transcription

STT (Voice → Text)

Voice messages from messaging platforms are auto-transcribed.

Provider priority (auto-detected):

Local faster-whisper — free, no API key: pip install faster-whisper
Groq Whisper — free tier: set GROQ_API_KEY
OpenAI Whisper — paid: set VOICE_TOOLS_OPENAI_KEY
Mistral Voxtral — set MISTRAL_API_KEY

Config:

stt:
  enabled: true
  provider: local        # local, groq, openai, mistral
  local:
    model: base          # tiny, base, small, medium, large-v3

TTS (Text → Voice)

Provider	Env var	Free?
Edge TTS	None	Yes (default)
ElevenLabs	`ELEVENLABS_API_KEY`	Free tier
OpenAI	`VOICE_TOOLS_OPENAI_KEY`	Paid
MiniMax	`MINIMAX_API_KEY`	Paid
Mistral (Voxtral)	`MISTRAL_API_KEY`	Paid
NeuTTS (local)	None (`pip install neutts[all]` + `espeak-ng`)	Free

Voice commands: /voice on (voice-to-voice), /voice tts (always voice), /voice off.

Spawning Additional AigenLabs Instances

Run additional AigenLabs processes as fully independent subprocesses — separate sessions, tools, and environments.

When to Use This vs delegate_task

	`delegate_task`	Spawning `aigenlabs` process
Isolation	Separate conversation, shared process	Fully independent process
Duration	Minutes (bounded by parent loop)	Hours/days
Tool access	Subset of parent's tools	Full tool access
Interactive	No	Yes (PTY mode)
Use case	Quick parallel subtasks	Long autonomous missions

One-Shot Mode

terminal(command="aigenlabs chat -q 'Research GRPO papers and write summary to ~/research/grpo.md'", timeout=300)

# Background for long tasks:
terminal(command="aigenlabs chat -q 'Set up CI/CD for ~/myapp'", background=true)

Interactive PTY Mode (via tmux)

AigenLabs uses prompt_toolkit, which requires a real terminal. Use tmux for interactive spawning:

# Start
terminal(command="tmux new-session -d -s agent1 -x 120 -y 40 'aigenlabs'", timeout=10)

# Wait for startup, then send a message
terminal(command="sleep 8 && tmux send-keys -t agent1 'Build a FastAPI auth service' Enter", timeout=15)

# Read output
terminal(command="sleep 20 && tmux capture-pane -t agent1 -p", timeout=5)

# Send follow-up
terminal(command="tmux send-keys -t agent1 'Add rate limiting middleware' Enter", timeout=5)

# Exit
terminal(command="tmux send-keys -t agent1 '/exit' Enter && sleep 2 && tmux kill-session -t agent1", timeout=10)

Multi-Agent Coordination

# Agent A: backend
terminal(command="tmux new-session -d -s backend -x 120 -y 40 'aigenlabs -w'", timeout=10)
terminal(command="sleep 8 && tmux send-keys -t backend 'Build REST API for user management' Enter", timeout=15)

# Agent B: frontend
terminal(command="tmux new-session -d -s frontend -x 120 -y 40 'aigenlabs -w'", timeout=10)
terminal(command="sleep 8 && tmux send-keys -t frontend 'Build React dashboard for user management' Enter", timeout=15)

# Check progress, relay context between them
terminal(command="tmux capture-pane -t backend -p | tail -30", timeout=5)
terminal(command="tmux send-keys -t frontend 'Here is the API schema from the backend agent: ...' Enter", timeout=5)

Session Resume

# Resume most recent session
terminal(command="tmux new-session -d -s resumed 'aigenlabs --continue'", timeout=10)

# Resume specific session
terminal(command="tmux new-session -d -s resumed 'aigenlabs --resume 20260225_143052_a1b2c3'", timeout=10)

Tips

Prefer delegate_task for quick subtasks — less overhead than spawning a full process
Use -w (worktree mode) when spawning agents that edit code — prevents git conflicts
Set timeouts for one-shot mode — complex tasks can take 5-10 minutes
Use aigenlabs chat -q for fire-and-forget — no PTY needed
Use tmux for interactive sessions — raw PTY mode has \r vs \n issues with prompt_toolkit
For scheduled tasks, use the cronjob tool instead of spawning — handles delivery and retry

Durable & Background Systems

Four systems run alongside the main conversation loop. Quick reference here; full developer notes live in AGENTS.md, user-facing docs under website/docs/user-guide/features/.

Delegation (`delegate_task`)

Synchronous subagent spawn — the parent waits for the child's summary before continuing its own loop. Isolated context + terminal session.

Single: delegate_task(goal, context, toolsets).
Batch: delegate_task(tasks=[{goal, ...}, ...]) runs children in parallel, capped by delegation.max_concurrent_children (default 3).
Roles: leaf (default; cannot re-delegate) vs orchestrator (can spawn its own workers, bounded by delegation.max_spawn_depth).
Not durable. If the parent is interrupted, the child is cancelled. For work that must outlive the turn, use cronjob or terminal(background=True, notify_on_complete=True).

Config: delegation.* in config.yaml.

Cron (scheduled jobs)

Durable scheduler — cron/jobs.py + cron/scheduler.py. Drive it via the cronjob tool, the aigenlabs cron CLI (list, add, edit, pause, resume, run, remove), or the /cron slash command.

Schedules: duration ("30m", "2h"), "every" phrase ("every monday 9am"), 5-field cron ("0 9 * * *"), or ISO timestamp.
Per-job knobs: skills, model/provider override, script (pre-run data collection; no_agent=True makes the script the whole job), context_from (chain job A's output into job B), workdir (run in a specific dir with its AGENTS.md / CLAUDE.md loaded), multi-platform delivery.
Invariants: 3-minute hard interrupt per run, .tick.lock file prevents duplicate ticks across processes, cron sessions pass skip_memory=True by default, and cron deliveries are framed with a header/footer instead of being mirrored into the target gateway session (keeps role alternation intact).

User docs: https://docs.aigenlabs.vn/user-guide/features/cron

Curator (skill lifecycle)

Background maintenance for agent-created skills. Tracks usage, marks idle skills stale, archives stale ones, keeps a pre-run tar.gz backup so nothing is lost.

CLI: aigenlabs curator <verb> — status, run, pause, resume, pin, unpin, archive, restore, prune, backup, rollback.
Slash: /curator <subcommand> mirrors the CLI.
Scope: only touches skills with created_by: "agent" provenance. Bundled + hub-installed skills are off-limits. Never deletes — max destructive action is archive. Pinned skills are exempt from every auto-transition and every LLM review pass.
Telemetry: sidecar at ~/.aigenlabs/skills/.usage.json holds per-skill use_count, view_count, patch_count, last_activity_at, state, pinned.

Config: curator.* (enabled, interval_hours, min_idle_hours, stale_after_days, archive_after_days, backup.*). User docs: https://docs.aigenlabs.vn/user-guide/features/curator

Kanban (multi-agent work queue)

Durable SQLite board for multi-profile / multi-worker collaboration. Users drive it via aigenlabs kanban <verb>; dispatcher-spawned workers see a focused kanban_* toolset gated by AIGENLABS_KANBAN_TASK, and orchestrator profiles can opt into the broader kanban toolset. Normal sessions still have zero kanban_* schema footprint unless configured.

CLI verbs (common): init, create, list (alias ls), show, assign, link, unlink, comment, complete, block, unblock, archive, tail. Less common: watch, stats, runs, log, dispatch, daemon, gc.
Worker/orchestrator toolset: kanban_show, kanban_complete, kanban_block, kanban_heartbeat, kanban_comment, kanban_create, kanban_link; profiles that explicitly enable the kanban toolset outside a dispatcher-spawned task also get kanban_list and kanban_unblock for board routing.
Dispatcher runs inside the gateway by default (kanban.dispatch_in_gateway: true) — reclaims stale claims, promotes ready tasks, atomically claims, spawns assigned profiles. Auto-blocks a task after failure_limit consecutive spawn failures (default 2; configurable via kanban.failure_limit or per-task max_retries).
Isolation: board is the hard boundary (workers get AIGENLABS_KANBAN_BOARD pinned in env); tenant is a soft namespace within a board for workspace-path + memory-key isolation.

User docs: https://docs.aigenlabs.vn/user-guide/features/kanban

Windows-Specific Quirks

AigenLabs runs natively on Windows (PowerShell, cmd, Windows Terminal, git-bash mintty, VS Code integrated terminal). Most of it just works, but a handful of differences between Win32 and POSIX have bitten us — document new ones here as you hit them so the next person (or the next session) doesn't rediscover them from scratch.

Input / Keybindings

Alt+Enter doesn't insert a newline. Windows Terminal intercepts Alt+Enter at the terminal layer to toggle fullscreen — the keystroke never reaches prompt_toolkit. Use Ctrl+Enter instead. Windows Terminal delivers Ctrl+Enter as LF (c-j), distinct from plain Enter (c-m / CR), and the CLI binds c-j to newline insertion on win32 only (see _bind_prompt_submit_keys + the Windows-only c-j binding in cli.py). Side effect: the raw Ctrl+J keystroke also inserts a newline on Windows — unavoidable, because Windows Terminal collapses Ctrl+Enter and Ctrl+J to the same keycode at the Win32 console API layer. No conflicting binding existed for Ctrl+J on Windows, so this is a harmless side effect.

mintty / git-bash behaves the same (fullscreen on Alt+Enter) unless you disable Alt+Fn shortcuts in Options → Keys. Easier to just use Ctrl+Enter.

Diagnosing keybindings. Run python scripts/keystroke_diagnostic.py (repo root) to see exactly how prompt_toolkit identifies each keystroke in the current terminal. Answers questions like "does Shift+Enter come through as a distinct key?" (almost never — most terminals collapse it to plain Enter) or "what byte sequence is my terminal sending for Ctrl+Enter?" This is how the Ctrl+Enter = c-j fact was established.

Config / Files

HTTP 400 "No models provided" on first run. config.yaml was saved with a UTF-8 BOM (common when Windows apps write it). Re-save as UTF-8 without BOM. aigenlabs config edit writes without BOM; manual edits in Notepad are the usual culprit.

`execute_code` / Sandbox

WinError 10106 ("The requested service provider could not be loaded or initialized") from the sandbox child process — it can't create an AF_INET socket, so the loopback-TCP RPC fallback fails before connect(). Root cause is usually not a broken Winsock LSP; it's AigenLabs's own env scrubber dropping SYSTEMROOT / WINDIR / COMSPEC from the child env. Python's socket module needs SYSTEMROOT to locate mswsock.dll. Fixed via the _WINDOWS_ESSENTIAL_ENV_VARS allowlist in tools/code_execution_tool.py. If you still hit it, echo os.environ inside an execute_code block to confirm SYSTEMROOT is set. Full diagnostic recipe in references/execute-code-sandbox-env-windows.md.

Testing / Contributing

scripts/run_tests.sh doesn't work as-is on Windows — it looks for POSIX venv layouts (.venv/bin/activate). The AigenLabs-installed venv at venv/Scripts/ has no pip or pytest either (stripped for install size). Workaround: install pytest + pytest-xdist + pyyaml into a system Python 3.11 user site, then invoke pytest directly with PYTHONPATH set:

"/c/Program Files/Python311/python" -m pip install --user pytest pytest-xdist pyyaml
export PYTHONPATH="$(pwd)"
"/c/Program Files/Python311/python" -m pytest tests/foo/test_bar.py -v --tb=short -n 0

Use -n 0, not -n 4 — pyproject.toml's default addopts already includes -n, and the wrapper's CI-parity guarantees don't apply off POSIX.

POSIX-only tests need skip guards. Common markers already in the codebase:

Symlinks — elevated privileges on Windows
0o600 file modes — POSIX mode bits not enforced on NTFS by default
signal.SIGALRM — Unix-only (see tests/conftest.py::_enforce_test_timeout)
Winsock / Windows-specific regressions — @pytest.mark.skipif(sys.platform != "win32", ...)

Use the existing skip-pattern style (sys.platform == "win32" or sys.platform.startswith("win")) to stay consistent with the rest of the suite.

Path / Filesystem

Line endings. Git may warn LF will be replaced by CRLF the next time Git touches it. Cosmetic — the repo's .gitattributes normalizes. Don't let editors auto-convert committed POSIX-newline files to CRLF.

Forward slashes work almost everywhere. C:/Users/... is accepted by every AigenLabs tool and most Windows APIs. Prefer forward slashes in code and logs — avoids shell-escaping backslashes in bash.

Troubleshooting

Voice not working

Check stt.enabled: true in config.yaml
Verify provider: pip install faster-whisper or set API key
In gateway: /restart. In CLI: exit and relaunch.

Tool not available

aigenlabs tools — check if toolset is enabled for your platform
Some tools need env vars (check .env)
/reset after enabling tools

Model/provider issues

aigenlabs doctor — check config and dependencies
aigenlabs auth — re-authenticate OAuth providers (or aigenlabs auth add <provider>)
Check .env has the right API key
Copilot 403: gh auth login tokens do NOT work for Copilot API. You must use the Copilot-specific OAuth device code flow via aigenlabs model → GitHub Copilot.

Changes not taking effect

Tools/skills: /reset starts a new session with updated toolset
Config changes: In gateway: /restart. In CLI: exit and relaunch.
Code changes: Restart the CLI or gateway process

Skills not showing

aigenlabs skills list — verify installed
aigenlabs skills config — check platform enablement
Load explicitly: /skill name or aigenlabs -s name

Gateway issues

Check logs first:

grep -i "failed to send\|error" ~/.aigenlabs/logs/gateway.log | tail -20

Common gateway problems:

Gateway dies on SSH logout: Enable linger: sudo loginctl enable-linger $USER
Gateway dies on WSL2 close: WSL2 requires systemd=true in /etc/wsl.conf for systemd services to work. Without it, gateway falls back to nohup (dies when session closes).
Gateway crash loop: Reset the failed state: systemctl --user reset-failed aigenlabs-gateway

Platform-specific issues

Discord bot silent: Must enable Message Content Intent in Bot → Privileged Gateway Intents.
Slack bot only works in DMs: Must subscribe to message.channels event. Without it, the bot ignores public channels.
Windows-specific issues (Alt+Enter newline, WinError 10106, UTF-8 BOM config, test suite, line endings): see the dedicated Windows-Specific Quirks section above.

Auxiliary models not working

If auxiliary tasks (vision, compression, session_search) fail silently, the auto provider can't find a backend. Either set OPENROUTER_API_KEY or GOOGLE_API_KEY, or explicitly configure each auxiliary task's provider:

aigenlabs config set auxiliary.vision.provider <your_provider>
aigenlabs config set auxiliary.vision.model <model_name>

Where to Find Things

Looking for...	Location
Config options	`aigenlabs config edit` or Configuration docs
Available tools	`aigenlabs tools list` or Tools reference
Slash commands	`/help` in session or Slash commands reference
Skills catalog	`aigenlabs skills browse` or Skills catalog
Provider setup	`aigenlabs model` or Providers guide
Platform setup	`aigenlabs gateway setup` or Messaging docs
MCP servers	`aigenlabs mcp list` or MCP guide
Profiles	`aigenlabs profile list` or Profiles docs
Cron jobs	`aigenlabs cron list` or Cron docs
Memory	`aigenlabs memory status` or Memory docs
Env variables	`aigenlabs config env-path` or Env vars reference
CLI commands	`aigenlabs --help` or CLI reference
Gateway logs	`~/.aigenlabs/logs/gateway.log`
Session files	`aigenlabs sessions browse` (reads state.db)
Source code	`~/.aigenlabs/aigenlabs-agent/`

Contributor Quick Reference

For occasional contributors and PR authors. Full developer docs: https://docs.aigenlabs.vn/developer-guide/

Project Layout

aigenlabs-agent/
├── run_agent.py          # AIAgent — core conversation loop
├── model_tools.py        # Tool discovery and dispatch
├── toolsets.py           # Toolset definitions
├── cli.py                # Interactive CLI (AigenLabsCLI)
├── aigenlabs_state.py       # SQLite session store
├── agent/                # Prompt builder, context compression, memory, model routing, credential pooling, skill dispatch
├── aigenlabs_cli/           # CLI subcommands, config, setup, commands
│   ├── commands.py       # Slash command registry (CommandDef)
│   ├── config.py         # DEFAULT_CONFIG, env var definitions
│   └── main.py           # CLI entry point and argparse
├── tools/                # One file per tool
│   └── registry.py       # Central tool registry
├── gateway/              # Messaging gateway
│   └── platforms/        # Platform adapters (telegram, discord, etc.)
├── cron/                 # Job scheduler
├── tests/                # ~3000 pytest tests
└── website/              # Docusaurus docs site

Config: ~/.aigenlabs/config.yaml (settings), ~/.aigenlabs/.env (API keys).

Adding a Tool (3 files)

1. Create tools/your_tool.py:

import json, os
from tools.registry import registry

def check_requirements() -> bool:
    return bool(os.getenv("EXAMPLE_API_KEY"))

def example_tool(param: str, task_id: str = None) -> str:
    return json.dumps({"success": True, "data": "..."})

registry.register(
    name="example_tool",
    toolset="example",
    schema={"name": "example_tool", "description": "...", "parameters": {...}},
    handler=lambda args, **kw: example_tool(
        param=args.get("param", ""), task_id=kw.get("task_id")),
    check_fn=check_requirements,
    requires_env=["EXAMPLE_API_KEY"],
)

2. Add to toolsets.py → _AIGENLABS_CORE_TOOLS list.

Auto-discovery: any tools/*.py file with a top-level registry.register() call is imported automatically — no manual list needed.

All handlers must return JSON strings. Use get_aigenlabs_home() for paths, never hardcode ~/.aigenlabs.

Adding a Slash Command

Add CommandDef to COMMAND_REGISTRY in aigenlabs_cli/commands.py
Add handler in cli.py → process_command()
(Optional) Add gateway handler in gateway/run.py

All consumers (help text, autocomplete, Telegram menu, Slack mapping) derive from the central registry automatically.

Agent Loop (High Level)

run_conversation():
  1. Build system prompt
  2. Loop while iterations < max:
     a. Call LLM (OpenAI-format messages + tool schemas)
     b. If tool_calls → dispatch each via handle_function_call() → append results → continue
     c. If text response → return
  3. Context compression triggers automatically near token limit

Testing

python -m pytest tests/ -o 'addopts=' -q   # Full suite
python -m pytest tests/tools/ -q            # Specific area

Tests auto-redirect AIGENLABS_HOME to temp dirs — never touch real ~/.aigenlabs/
Run full suite before pushing any change
Use -o 'addopts=' to clear any baked-in pytest flags

Windows contributors: scripts/run_tests.sh currently looks for POSIX venvs (.venv/bin/activate / venv/bin/activate) and will error out on Windows where the layout is venv/Scripts/activate + python.exe. The AigenLabs-installed venv at venv/Scripts/ also has no pip or pytest — it's stripped for end-user install size. Workaround: install pytest + pytest-xdist + pyyaml into a system Python 3.11 user site (/c/Program Files/Python311/python -m pip install --user pytest pytest-xdist pyyaml), then run tests directly:

export PYTHONPATH="$(pwd)"
"/c/Program Files/Python311/python" -m pytest tests/tools/test_foo.py -v --tb=short -n 0

Use -n 0 (not -n 4) because pyproject.toml's default addopts already includes -n, and the wrapper's CI-parity story doesn't apply off-POSIX.

Cross-platform test guards: tests that use POSIX-only syscalls need a skip marker. Common ones already in the codebase:

Symlink creation → @pytest.mark.skipif(sys.platform == "win32", reason="Symlinks require elevated privileges on Windows") (see tests/cron/test_cron_script.py)
POSIX file modes (0o600, etc.) → @pytest.mark.skipif(sys.platform.startswith("win"), reason="POSIX mode bits not enforced on Windows") (see tests/aigenlabs_cli/test_auth_toctou_file_modes.py)
signal.SIGALRM → Unix-only (see tests/conftest.py::_enforce_test_timeout)
Live Winsock / Windows-specific regression tests → @pytest.mark.skipif(sys.platform != "win32", reason="Windows-specific regression")

Monkeypatching sys.platform is not enough when the code under test also calls platform.system() / platform.release() / platform.mac_ver(). Those functions re-read the real OS independently, so a test that sets sys.platform = "linux" on a Windows runner will still see platform.system() == "Windows" and route through the Windows branch. Patch all three together:

monkeypatch.setattr(sys, "platform", "linux")
monkeypatch.setattr(platform, "system", lambda: "Linux")
monkeypatch.setattr(platform, "release", lambda: "6.8.0-generic")

See tests/agent/test_prompt_builder.py::TestEnvironmentHints for a worked example.

Extending the system prompt's execution-environment block

Factual guidance about the host OS, user home, cwd, terminal backend, and shell (bash vs. PowerShell on Windows) is emitted from agent/prompt_builder.py::build_environment_hints(). This is also where the WSL hint and per-backend probe logic live. The convention:

Local terminal backend → emit host info (OS, $HOME, cwd) + Windows-specific notes (hostname ≠ username, terminal uses bash not PowerShell).
Remote terminal backend (anything in _REMOTE_TERMINAL_BACKENDS: docker, singularity, modal, daytona, ssh, managed_modal) → suppress host info entirely and describe only the backend. A live uname/whoami/pwd probe runs inside the backend via tools.environments.get_environment(...).execute(...), cached per process in _BACKEND_PROBE_CACHE, with a static fallback if the probe times out.
Key fact for prompt authoring: when TERMINAL_ENV != "local", every file tool (read_file, write_file, patch, search_files) runs inside the backend container, not on the host. The system prompt must never describe the host in that case — the agent can't touch it.

Full design notes, the exact emitted strings, and testing pitfalls: references/prompt-builder-environment-hints.md.

Refactor-safety pattern (POSIX-equivalence guard): when you extract inline logic into a helper that adds Windows/platform-specific behavior, keep a _legacy_<name> oracle function in the test file that's a verbatim copy of the old code, then parametrize-diff against it. Example: tests/tools/test_code_execution_windows_env.py::TestPosixEquivalence. This locks in the invariant that POSIX behavior is bit-for-bit identical and makes any future drift fail loudly with a clear diff.

Commit Conventions

type: concise subject line

Optional body.

Types: fix:, feat:, refactor:, docs:, chore:

Key Rules

Never break prompt caching — don't change context, tools, or system prompt mid-conversation
Message role alternation — never two assistant or two user messages in a row
Use get_aigenlabs_home() from aigenlabs_constants for all paths (profile-safe)
Config values go in config.yaml, secrets go in .env
New tools need a check_fn so they only appear when requirements are met

Skill metadata​

Reference: full SKILL.md​

AigenLabs Agent

Quick Start​

CLI Reference​

Global Flags​

Chat​

Configuration​

Tools & Skills​

MCP Servers​

Gateway (Messaging Platforms)​

Sessions​

Cron Jobs​

Webhooks​

Profiles​

Credential Pools​

Other​

Slash Commands (In-Session)​

Session Control​

Configuration​

Tools & Skills​

Gateway​

Utility​

Info​

Exit​

Key Paths & Config​

Config Sections​

Providers​

Toolsets​

Security & Privacy Toggles​

Secret redaction in tool output​

PII redaction in gateway messages​

Command approval prompts​

Shell hooks allowlist​

Disabling the web/browser/image-gen tools​

Voice & Transcription​

STT (Voice → Text)​

TTS (Text → Voice)​

Spawning Additional AigenLabs Instances​

When to Use This vs delegate_task​

One-Shot Mode​

Interactive PTY Mode (via tmux)​

Multi-Agent Coordination​

Session Resume​

Tips​

Durable & Background Systems​

Delegation (delegate_task)​

Cron (scheduled jobs)​

Curator (skill lifecycle)​

Kanban (multi-agent work queue)​

Windows-Specific Quirks​

Input / Keybindings​

Config / Files​

execute_code / Sandbox​

Testing / Contributing​

Path / Filesystem​

Troubleshooting​

Voice not working​

Tool not available​

Model/provider issues​

Changes not taking effect​

Skills not showing​

Gateway issues​

Platform-specific issues​

Auxiliary models not working​

Where to Find Things​

Contributor Quick Reference​

Project Layout​

Adding a Tool (3 files)​

Adding a Slash Command​

Agent Loop (High Level)​

Testing​

Extending the system prompt's execution-environment block​

Commit Conventions​

Key Rules​

Skill metadata

Reference: full SKILL.md

Quick Start

CLI Reference

Global Flags

Chat

Configuration

Tools & Skills

MCP Servers

Gateway (Messaging Platforms)

Sessions

Cron Jobs

Webhooks

Profiles

Credential Pools

Other

Slash Commands (In-Session)

Session Control

Configuration

Tools & Skills

Gateway

Utility

Info

Exit

Key Paths & Config

Config Sections

Providers

Toolsets

Security & Privacy Toggles

Secret redaction in tool output

PII redaction in gateway messages

Command approval prompts

Shell hooks allowlist

Disabling the web/browser/image-gen tools

Voice & Transcription

STT (Voice → Text)

TTS (Text → Voice)

Spawning Additional AigenLabs Instances

When to Use This vs delegate_task

One-Shot Mode

Interactive PTY Mode (via tmux)

Multi-Agent Coordination

Session Resume

Tips

Durable & Background Systems

Delegation (`delegate_task`)

Cron (scheduled jobs)

Curator (skill lifecycle)

Kanban (multi-agent work queue)

Windows-Specific Quirks

Input / Keybindings

Config / Files

`execute_code` / Sandbox

Testing / Contributing

Path / Filesystem

Troubleshooting

Voice not working

Tool not available

Model/provider issues

Changes not taking effect

Skills not showing

Gateway issues

Platform-specific issues

Auxiliary models not working

Where to Find Things

Contributor Quick Reference

Project Layout

Adding a Tool (3 files)

Adding a Slash Command

Agent Loop (High Level)

Testing

Extending the system prompt's execution-environment block

Commit Conventions

Key Rules