monkeybot
Multi-cloud agent harness — GCP-first docs, portable runtime
monkeybot is an owned agent runtime for tool-using LLMs: a FastAPI SSE gateway, pluggable storage, MCP tools, skills, and memory. Run locally with zero cloud dependencies, or ship the same container image anywhere Docker runs.
Docs and examples are GCP-first (Vertex, GCS, Cloud Run); AWS paths ship in the Pattern guides. See Cloud deployment — Positioning.
Quick start
Install uv, then:
uv tool install monkeybot-cli
monkeybot new --dest ./my-agent --provider openai --yes
cd my-agent
uv sync
cp .env.example .env # add provider keys
monkeybot doctor
monkeybot chat
Upgrade the CLI with uv tool upgrade monkeybot-cli. Full walkthrough: Getting Started.
What you get
- SSE gateway — sessions, streaming, health; wire your own UI or use the CLI
- Realtime talk — WebSocket voice/text via
monkeybot talk - MCP + skills — stdio/HTTP tools and trusted Python skill bundles
- Pluggable storage — SQLite by default; Postgres, Firestore, GCS, S3
- Multi-provider — Gemini/Vertex, OpenAI, Anthropic, Bedrock, Ollama, and more
CLI
| Command | Purpose |
|---|---|
monkeybot new |
Scaffold config, workspace, agent pyproject.toml, .env.example |
monkeybot validate |
Check monkeybot.yaml, paths, and MCP config |
monkeybot doctor |
Verify Python, extras, credentials, and port |
monkeybot run |
Start the SSE gateway in the foreground |
monkeybot chat |
Talk over SSE (spawns the gateway; --attach to join one) |
monkeybot talk |
Realtime voice/text over WebSocket (--text for typed input) |
monkeybot chat # spawn gateway + REPL
monkeybot run # terminal 1: gateway with logs
monkeybot chat --attach # terminal 2: attach to it
Provider extras live on the agent pyproject.toml (monkeybot[<provider>]), not the global CLI. See Getting Started and Features — CLI.
Agent skill
npx skills add human-plus-machine/monkeybot --skill monkeybot
Walks through install, scaffold, config, and first chat. Source: cli/skills/monkeybot/.
Documentation
| Guide | Description |
|---|---|
| Getting Started | Install, configure, sessions + SSE from the CLI |
| Features | Architecture, capabilities, CLI, task queue |
| SSE gateway and custom UI | HTTP + SSE endpoints, event types, CORS |
| Skills | Skill directory layout and SKILL.md discovery |
| Model Context Protocol | MCP config, env interpolation, OAuth2 |
| Cloud deployment | Positioning + Patterns A–D index |
| Live evals | Local T4 smoke suite and scorecard |
| Observability | OpenTelemetry tracing runbook |
Integrations matrix and roadmap: CHANGELOG · BACKLOG.
Contributing
Clone only if you are changing the harness. Setup, checks, and the release workflow are in CONTRIBUTING.md. Live eval smoke agent: regression/t4/agent/.
Support
Search or open an issue in the GitHub issue tracker.
Credits
MonkeyBot builds on two open-source projects:
- Browser Use — browser automation for the browser MCP (via browser-harness and the interactive-element DOM walker). MIT licensed.
- OpenSandbox — sandbox runtime used for isolated
run_command/ code execution. Apache-2.0 licensed.
License
MIT — see LICENSE.
2 maintainers
Metadata
2 maintainers
Release files for monkeybot 3.12.0
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| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| monkeybot-3.12.0-py3-none-any.whl | Python 3 | none | any | Details for monkeybot-3.12.0-py3-none-any.whl |
Total release size: 5.5 MB
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