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monkeybot

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Multi-cloud agent harness — GCP-first docs, portable runtime

License: MIT

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 Smoke suite, local + CI 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 fixture: evals/smoke_agent/.

Support

Search or open an issue in the GitHub issue tracker.

Credits

MonkeyBot builds on two open-source projects:

License

MIT — see LICENSE.

Metadata

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