Lightweight, Rust-native AI Agent platform. Security sandbox from day one.
Overview
An open-source, Rust-native alternative to OpenClaw — deploy your own AI agents across Telegram, Discord, Feishu/Lark, WhatsApp, WeChat, and more with a single binary. No Node.js, no npm, no Docker — just download, configure, and run. Auto-detects OS/architecture, downloads latest release, installs binary and skills to ~/.clawhive/. After installation, run to activate in your current shell: Or download manually from GitHub Releases. Configure providers, agents, and channels using either method: — Start the server and open the browser-based wizard: - — One binary, ~14 MB. Runs on a Raspberry Pi, a VPS, or a Mac Mini with minimal resource usage. - — Two-layer security model: non-bypassable hard baseline + origin-based trust. External skills must declare permissions explicitly. - — Enforced token budgets, timeout limits, and sub-agent recursion depth. No runaway loops, no surprise bills. - — Browser-based setup wizard or interactive CLI.
README
clawhive
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An open-source, Rust-native alternative to OpenClaw — deploy your own AI agents across Telegram, Discord, Feishu/Lark, WhatsApp, WeChat, and more with a single binary.
One binary, ~14 MB, zero runtime dependencies. No Node.js, no npm, no Docker — just download, configure, and run.
Installation
curl -fsSL https://raw.githubusercontent.com/longzhi/clawhive/main/install.sh | bash
Auto-detects OS/architecture, downloads latest release, installs binary and skills to ~/.clawhive/.
After installation, run to activate in your current shell:
source ~/.clawhive/env
Or download manually from GitHub Releases.
Setup
Configure providers, agents, and channels using either method:
Option A: Web Setup Wizard — Start the server and open the browser-based wizard:
clawhive start
# Open http://localhost:8848/setup in your browser
Option B: CLI Setup Wizard — Run the interactive terminal wizard:
clawhive setup
Usage
# Setup / config
clawhive setup
clawhive validate
# Chat mode (local REPL)
clawhive chat
# Service lifecycle
clawhive start # start in foreground
clawhive up # start if not already running (always daemon)
clawhive restart
clawhive stop
clawhive reload # hot-reload config without restart
# Dashboard mode (observability TUI)
clawhive dashboard
# Code mode (developer TUI)
clawhive code
# Agents / sessions
clawhive agent list
clawhive agent show clawhive-main
clawhive session reset
# Schedules / tasks
clawhive schedule list
clawhive schedule run
clawhive task trigger clawhive-main "summarize today's work"
# Logs
clawhive logs
# Auth
clawhive auth status
clawhive auth login openai
CLI Commands
| Command | Description |
|---|---|
setup |
Interactive configuration wizard |
up |
Start as background daemon (alias for start -d) |
start [--tui] [--daemon] |
Start all configured channel bots and HTTP API server |
stop |
Stop a running clawhive process |
restart |
Restart clawhive (stop + start as daemon) |
reload [--agents|--routing] |
Hot-reload configuration without restart |
chat [--agent ] |
Local REPL for testing |
validate |
Validate YAML configuration |
consolidate |
Run memory consolidation manually |
logs |
Tail the latest log file |
agent list|show|enable|disable |
Agent management |
skill list|show|analyze|install |
Skill management |
session reset |
Reset a session |
schedule list|run|enable|disable|history |
Scheduled task management |
wait list |
List background wait tasks |
task trigger |
Send a one-off task to an agent |
auth login|status |
OAuth authentication management |
Why clawhive?
- Tiny footprint — One binary, ~14 MB. Runs on a Raspberry Pi, a VPS, or a Mac Mini with minimal resource usage.
- Security by design — Two-layer security model: non-bypassable hard baseline + origin-based trust. External skills must declare permissions explicitly.
- Bounded execution — Enforced token budgets, timeout limits, and sub-agent recursion depth. No runaway loops, no surprise bills.
- Web + CLI setup — Browser-based setup wizard or interactive CLI. Get your first agent running in under 2 minutes.
Features
- Multi-agent orchestration with per-agent personas, model routing, and memory policy controls
- Three-layer memory system: Session JSONL → Daily files → MEMORY.md (long-term)
- Hybrid search: sqlite-vec vector similarity + FTS5 BM25 over memory chunks
- Hippocampus consolidation: periodic LLM-driven synthesis into long-term memory
- Channel adapters: Telegram, Discord, Slack, WhatsApp, iMessage, Feishu, DingTalk, WeCom (multi-bot, multi-connector)
- ReAct reasoning loop with repeat guard and sub-agent spawning
- Skill system (SKILL.md with frontmatter + permission declarations)
- Token-bucket rate limiting per user
- LLM provider abstraction with retry + exponential backoff (Anthropic, OpenAI, Gemini, Amazon Bedrock, DeepSeek, Groq, Ollama, OpenRouter, Together, Fireworks, and any OpenAI-compatible endpoint)
- Real-time TUI dashboard and YAML-driven configuration
Architecture
clawhive start
# Open http://localhost:8848/setup in your browser
Run
# Setup / config
clawhive setup
clawhive validate
# Chat mode (local REPL)
clawhive chat
# Service lifecycle
clawhive start
clawhive up # start if not already running (always daemon)
clawhive restart
clawhive stop
clawhive reload # hot-reload config without restart
# Dashboard mode (observability TUI)
clawhive dashboard
clawhive dashboard --port 8848
# Code mode (developer TUI)
clawhive code
clawhive code --port 8848
# Agents / sessions
clawhive agent list
clawhive agent show clawhive-main
clawhive session reset
# Schedules / tasks
clawhive schedule list
clawhive schedule run
clawhive task trigger clawhive-main "summarize today's work"
# Auth
clawhive auth status
clawhive auth login openai
Quick Start (Developers)
Prerequisites: Rust 1.92+
# Clone and build
git clone https://github.com/longzhi/clawhive.git
cd clawhive
cargo build --workspace
# Interactive setup (configure providers, agents, channels)
cargo run -- setup
# Chat mode (local REPL)
cargo run -- chat
# Start all configured channel bots
cargo run -- start
# Start if not already running (always daemon)
cargo run -- up
# Restart / stop
cargo run -- restart
cargo run -- stop
# Dashboard mode (observability TUI)
cargo run -- dashboard
cargo run -- dashboard --port 8848
# Coding agent mode (attach local TUI channel to running gateway)
cargo run -- code
cargo run -- code --port 8848
Developer Workflow
Use local quality gates before pushing:
# One-time: install repo-managed git hooks
just install-hooks
# Run all CI-equivalent checks locally
just check
# Release flow: check -> push main -> replace tag and push tag
just release v0.1.0-alpha.15
If you don’t use just, use scripts directly:
bash scripts/install-git-hooks.sh
bash scripts/check.sh
bash scripts/release.sh v0.1.0-alpha.15
just check runs:
cargo fmt --all -- --checkcargo clippy --workspace --all-targets -- -D warningscargo test --workspace
Configuration
Configuration is managed through clawhive setup, which interactively generates YAML files under ~/.clawhive/config/:
main.yaml— app name, runtime settings, feature flags, channel configagents.d/.yaml— agent identity, model policy, tool policy, memory policyproviders.d/.yaml— provider type, API base URL, authenticationrouting.yaml— default agent ID, channel-to-agent routing bindings
Supported providers: Anthropic, OpenAI, Gemini, Amazon Bedrock, DeepSeek, Qwen, Moonshot, Zhipu GLM, MiniMax, Volcengine, Qianfan, Groq, Ollama, OpenRouter, Together, Fireworks, and any OpenAI-compatible endpoint.
Development
# Run all tests
cargo test --workspace
# Lint
cargo clippy --workspace --all-targets -- -D warnings
# Format
cargo fmt --all
# Run all CI-equivalent checks locally
just check
# Release
just release v0.1.0-alpha.15
Tech Stack
| Component | Technology |
|---|---|
| Language | Rust (2021 edition) |
| LLM Providers | Anthropic, OpenAI, Gemini, DeepSeek, Qwen, Moonshot, Zhipu GLM, MiniMax, Volcengine, Qianfan, Groq, Ollama, OpenRouter, Together, Fireworks |
| Channels | Telegram, Discord, Slack, WhatsApp, iMessage, Feishu, DingTalk, WeCom, CLI |
| Database | SQLite (rusqlite, bundled) |
| Vector Search | sqlite-vec |
| Full-Text Search | FTS5 |
| HTTP | reqwest |
| Async | tokio |
| TUI | ratatui + crossterm |
| CLI | clap 4 |
License
MIT
Status
This project is under active development. The memory architecture uses Markdown-native storage + hybrid retrieval.
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Install
npx skillfish add longzhi/clawhive