< SAN ✦ />
Open-source unified runtime for specialized AI agents — in the terminal
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▶ Watch the animated intro Open the full-quality version ↗San is a terminal-native unified runtime for specialized agents — coding and beyond — built on five pluggable pillars: LLMs, search backends, personas, skills & extensions (skills, plugins, MCP servers, subagents), and a self-evolving agent that levels up as you work. Written in Go.
The name — San, written 三 ("three") and drawn ☰. From the Dao De Jing, 三生万物 — "three begets the ten-thousand things": one runtime that becomes any agent, running a three-step loop (reason → act → observe). The command stays san.
Features
Open architecture
- LLM providers — Anthropic, OpenAI, Google, DeepSeek, Moonshot, Alibaba, MiniMax, Z.ai (GLM); swap via
/model. - Search backends — Exa, Tavily, Brave, Serper; swap via
/search. - Personas — Markdown identities scoped to user or project; swap via
/identity(details). - Skills & extensions — Claude Code skills, plugins, and MCP servers run unmodified; sandboxed subagents; lifecycle hooks (shell, LLM, agent, HTTP); auto-loaded project memory.
- Self-evolving — every few turns a background reviewer distills your recent work into durable memory and reusable skills, so the agent levels up as you work. (Level 1 available; deeper levels on the way.)
Engineering
- Runs anywhere — A single ~12 MB binary with zero runtime dependencies (no Node.js, no Python). Native Go: ~0.01s cold start, ~32 MB baseline, and the same file runs unchanged on a laptop, an edge device, or in a
scratchcontainer (footprint · benchmark). - Event-driven coordination — Parallel subagent execution via a pub/sub hub (architecture).
- Session persistence — Auto-save, resume, fork, and automatic context compaction.
- Prompt prediction — Speculative completion of likely next prompts to reduce latency.
- Session inspector — Local web UI for transcript replay, system prompt forensics, and live-tail of active sessions (
san inspector).
Installation
curl -fsSL https://raw.githubusercontent.com/genai-io/san/main/install.sh | bash
Re-run to upgrade. To uninstall:
curl -fsSL https://raw.githubusercontent.com/genai-io/san/main/install.sh | bash -s uninstall
Other methods
Go Install
go install github.com/genai-io/san/cmd/san@latest
Build from Source
git clone https://github.com/genai-io/san.git
cd san
go build -o san ./cmd/san
mkdir -p ~/.local/bin && mv san ~/.local/bin/
Usage
san # interactive
san "explain this function" # one-shot
cat main.go | san "review" # piped input
san --continue # resume latest session
san --resume # pick a past session
san inspector # open session transcript viewer
| What | How |
|---|---|
| Pick / switch model | /model — saved to ~/.san/providers.json |
| Cycle thinking budget | Ctrl+T or /think (levels vary by provider) |
| All slash commands | /help (/identity, /search, /skills, /agents, /mcp, /compact, …) |
| Toggle permission mode | Shift+Tab (ask · auto-accept · plan) |
| Expand tool · cancel · exit | Ctrl+O · Ctrl+C · Ctrl+D |
For API keys, set the matching env var (see Credentials below) or paste when prompted on first launch. Full walkthrough: docs/guides/getting-started.md.
Configuration
Config lives in ~/.san/ (user) and <project>/.san/ (project, overrides user). A SAN.md or CLAUDE.md at the project root is auto-loaded into the system prompt.
| Service | Variable |
|---|---|
| Anthropic (Claude) | ANTHROPIC_API_KEY or Vertex AI |
| OpenAI (GPT, o-series, Codex) | OPENAI_API_KEY |
| Google (Gemini) | GOOGLE_API_KEY |
| Moonshot (Kimi) | MOONSHOT_API_KEY |
| DeepSeek (DeepSeek V4) | DEEPSEEK_API_KEY |
| Alibaba (Qwen) | DASHSCOPE_API_KEY |
| MiniMax | MINIMAX_API_KEY |
| Z.ai (GLM) | BIGMODEL_API_KEY |
| Ollama (local) | OLLAMA_BASE_URL (default http://localhost:11434/v1) |
| Exa search | none (default) |
| Tavily search | TAVILY_API_KEY |
| Brave search | BRAVE_API_KEY |
| Serper search | SERPER_API_KEY |
User-level (~/.san/):
providers.json # Provider connections and current model
settings.json # Permissions, hooks, env, identity
skills.json # Skill states
identities/ # Custom personas (see /identity)
skills/ # Custom skill definitions
agents/ # Custom agent definitions
commands/ # Custom slash commands
plugins/ # Installed plugins
projects/ # Session transcripts + indexes
Project-level (.san/):
settings.json # Permissions, hooks, disabled tools
mcp.json # MCP server definitions
identities/*.md # Project-scoped personas (override user-level)
agents/*.md # Subagent definitions
skills/*/SKILL.md # Skills
commands/*.md # Slash commands
Benchmark: San vs Claude Code
Compared with Claude Code v2.1.112 on Apple Silicon, same model (claude-sonnet-4-6):
| Metric | San | Claude Code | Advantage |
|---|---|---|---|
| Download size | 12 MB | 63 MB (+ Node.js 112 MB) | 5x smaller |
| Disk footprint | 38 MB | 175 MB | 4.6x smaller |
| Startup time | ~0.01s | ~0.20s | 20x faster |
| Startup memory | ~32 MB | ~189 MB | 5.8x less |
| Simple task | ~2.4s / 39 MB | ~10.4s / 286 MB | 4.3x faster, 7.3x less memory |
| Tool-use task | ~3.3s / 39 MB | ~26.0s / 285 MB | 7.9x faster, 7.2x less memory |
Both tools have comparable features (hooks, skills, plugins, session, MCP, etc.). The performance gap comes from Go's native compilation, minimal architecture design, and lean prompt engineering — vs Node.js V8/JIT/GC runtime overhead.
See full details: docs/operations/benchmark.md
Documentation
- Documentation Index — map of architecture, features, operations, and references
- Architecture — architecture entrypoint and reading order
- Package Map — package ownership and dependency boundaries
- System Prompt — Slot model, identity, skill/agent injection
- Subagents · Skills · Plugins · MCP
- Hooks · Permissions · Tasks
- Inspector — local web UI for transcript replay and debugging
- Per-package design under
docs/packages/— start at Package Index
Related Projects
- Claude Code — Anthropic's AI coding assistant
- Aider — AI pair programming in terminal
- Continue — Open-source AI code assistant
Community
Two ways in — WeChat for the Chinese community, Slack for everyone else:
关注公众号「极客外传」· 回复 san 或 三 入群 |
Scan or join our Slack |
Contributing
Contributions welcome! See CONTRIBUTING.md for guidelines.
License
Apache License 2.0 - see LICENSE for details.