hkuds--nanobot/docs

nanobot Docs

For published release documentation, visit nanobot.wiki. The pages in this directory track the current repository and may describe features that have not reached the published site yet.

If you have never used a terminal or edited a config file before, start with start-without-technical-background.md. Otherwise, start with quick-start.md, open the browser workbench with nanobot webui, and use terminal checks when you need lower-level diagnosis.

Most JSON examples in these docs are snippets to merge into ~/.nanobot/config.json, not full replacement files.

Provider examples are concrete walkthroughs, not rankings or endorsements. Use the provider whose key, endpoint, and model ID you actually control.

If you find a docs mistake, outdated command, or confusing step, please open an issue: https://github.com/HKUDS/nanobot/issues.

Pick a Track

You are	Start with	Then use
New to terminals and config files	start-without-technical-background.md	troubleshooting.md if the first reply fails
Comfortable pasting commands and JSON	quick-start.md	provider-cookbook.md for pasteable provider setups
Operating a long-running bot	concepts.md	chat-apps.md, webui.md, and deployment.md
Integrating or extending nanobot	architecture.md	configuration.md, openai-api.md, python-sdk.md, development.md, and channel-plugin-guide.md

Start Here

Goal	Read	Outcome
Start with no technical background	start-without-technical-background.md	One-command setup, terminal basics, config, API keys, and the first reply
Install and get the first reply	quick-start.md	A working CLI agent and a known-good config path
Understand how the pieces fit	concepts.md	Mental model for config, workspace, gateway, channels, tools, memory, and sessions
Choose or change a model provider	providers.md	Correct provider/model pairing without reading the full config reference
Copy a provider setup recipe	provider-cookbook.md	Pasteable OpenRouter, OpenAI, Anthropic, local model, fallback, and Langfuse setups
Fix a first-run or runtime problem	troubleshooting.md	A diagnosis order and targeted checks for common failures

Task Guides

Use these pages when you know the workflow you want and do not want to scan the full reference first.

Goal	Guide
Build a personal AI agent	guides/build-a-personal-ai-agent.md
Run a self-hosted AI agent	guides/self-hosted-ai-agent.md
Use a browser AI agent WebUI	guides/ai-agent-webui.md
Connect an AI agent to chat apps	guides/chat-app-ai-agent.md
Run long-running agent tasks	guides/long-running-ai-agent.md
Schedule or trigger agent turns	automations.md
Add long-term agent memory	guides/ai-agent-memory.md
Add MCP tools to an agent	guides/mcp-tools-for-ai-agents.md
Run an agent from Python	guides/python-ai-agent-sdk.md
Expose an OpenAI-compatible agent API	guides/openai-compatible-agent-api.md
Deploy a long-running agent gateway	guides/deploy-nanobot-gateway.md

Platform-specific chat guides: Telegram, Discord, Slack, Feishu, WhatsApp, WeChat, QQ, Email, and Mattermost.

Configuration guides: MCP tools, web search, model fallback, OpenAI-compatible providers, Langfuse, local security, and gateway deployment.

After the First Reply Works

Do not configure everything at once. Pick one next surface:

If a local nanobot agent session can already answer normally, you can also ask nanobot to help configure itself: have it read the relevant docs, inspect your current config, make one specific next change, and tell you when to run /restart.

Next goal	Read	First check
Use nanobot in a browser	webui.md	Run nanobot webui and open the local browser workbench
Talk through a chat app	chat-apps.md	Merge one channel snippet, run nanobot channels status, keep nanobot gateway running
Change provider or add fallbacks	provider-cookbook.md	Keep modelPresets named and set agents.defaults.modelPreset
Call nanobot from Python	python-sdk.md	Reuse the same config/workspace from code, then run or stream one agent turn
Understand before operating long-term	concepts.md	Know what config, workspace, gateway, sessions, memory, and tools mean
Diagnose a new failure	troubleshooting.md	Start with nanobot status, then nanobot agent -m "Hello!"

Use nanobot

Goal	Read	Outcome
Open the bundled browser UI	webui.md	nanobot webui, chat workspace, Apps, Skills, Automations, and settings
Connect Telegram, Discord, WeChat, Slack, Email, Mattermost, or another chat app	chat-apps.md	A gateway-backed chat channel with access control
Use automations	automations.md	Scheduled automations, local triggers, heartbeat, WebUI management, and delivery behavior
Use slash commands	chat-commands.md	Pairing, model presets, local triggers, heartbeat tasks, and chat-side controls
Generate images	image-generation.md	Image provider config, WebUI image mode, and artifact behavior
Run several isolated bots	multiple-instances.md	Separate configs, workspaces, ports, and sessions
Deploy outside a terminal	deployment.md	Docker, systemd user services, and macOS LaunchAgent setup
Join agent communities	agent-social-network.md	External agent-community setup

Reference

Area	Read	Best for
Full configuration schema	configuration.md	Exact fields, defaults, provider tables, web tools, MCP, security, and runtime options
CLI commands	cli-reference.md	Command names, common flags, and entrypoints
Architecture	architecture.md	Source-level runtime map for core flow, providers, channels, tools, WebUI, memory, security, and extension points
Release archive	release-archive.md	Older release and daily update highlights moved out of the README
Development	development.md	Contributor notes for adding providers and transcription adapters
Memory	memory.md	Session history, Dream consolidation, memory files, and versioning
Observability	configuration.md#langfuse-observability	Langfuse tracing setup and required environment variables
WebSocket protocol	websocket.md	Custom clients, token issuance, multiplexed chats, media, and protocol events
OpenAI-compatible API	openai-api.md	/v1/chat/completions, /v1/models, file uploads, and SDK-compatible usage
Python SDK	python-sdk.md	SDK 101, sessions, streaming, model overrides, runtime helpers, and hooks
Runtime self-inspection	my-tool.md	Inspecting and tuning the current agent run

Fast Lookup

Need	Jump to
Provider/model resolution order	providers.md#provider-resolution
Model presets and fallback chains	providers.md#model-presets and providers.md#fallback-models
Langfuse environment variables	configuration.md#langfuse-observability
WebSocket/WebUI protocol details	websocket.md
OpenAI-compatible API usage	openai-api.md
Python SDK usage	python-sdk.md
Scheduled automations and local triggers	automations.md
Multiple configs, workspaces, and ports	multiple-instances.md
Security, sandboxing, and SSRF controls	configuration.md#security
Channel plugin development	channel-plugin-guide.md

Extend nanobot

Goal	Read	Outcome
Add a provider or transcription adapter	development.md	A registry/schema-aligned implementation path
Add a chat channel plugin	channel-plugin-guide.md	A packaged channel discovered through entry points
Add custom MCP servers	configuration.md#mcp-model-context-protocol	External tools exposed to the agent through MCP
Tune tool safety	configuration.md#security	Shell sandboxing, workspace restriction, and SSRF policy

Reading Strategy

Use the docs in this order when you are unsure where to go:

1. If terminal commands or config files are new to you, start-without-technical-background.md explains the setup words and uses one concrete provider example so there is only one decision at a time.
2. quick-start.md proves installation, config loading, and provider access.
3. concepts.md explains the runtime model so later pages are easier to scan.
4. provider-cookbook.md gives pasteable provider, fallback, local model, and Langfuse recipes.
5. A task guide, such as chat-apps.md, image-generation.md, or deployment.md, gets one workflow working.
6. configuration.md is the source of truth when you need a specific field, default value, or advanced option.
7. troubleshooting.md helps isolate whether a failure is install, config, provider, gateway, channel, or tool related.