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 3.11.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| monkeybot-3.11.1.tar.gz | 4.7 MB | With provenance | Details for monkeybot-3.11.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| monkeybot-3.11.1-py3-none-any.whl | Python 3 | none | any | Details for monkeybot-3.11.1-py3-none-any.whl |
Total release size: 5.5 MB
Release files / monkeybot-3.11.1.tar.gz
| Download URL | monkeybot-3.11.1.tar.gz |
|---|---|
| Size | 4.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a7f09f393f79c5f5ffb35d6e3e7a5988e65fef2fc8192802ff4c9d9b24f711aa
|
|
BLAKE2b-256 checksum How to use checksums |
662f23dc5897407a29a218beb6218b9c7f76bb5614c796e6aac53d482a73a543
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 28, 2026.
Transparency logRelease files / monkeybot-3.11.1-py3-none-any.whl
| Download URL | monkeybot-3.11.1-py3-none-any.whl |
|---|---|
| Size | 821.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d485bdbae0081dfdb195ccc8129ca75d13ce88dfdca5f9e1feef451fbfb1f6d2
|
|
BLAKE2b-256 checksum How to use checksums |
339b444c552626ff8fef386b0c6ecbadd32fc7023ea708db3cc7031cdde691f5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 28, 2026.
Transparency logSecurity for monkeybot 3.11.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for monkeybot-3.11.1.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 28, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
