Skip to content
Agentmart
Submit a tool

Stirrup

Lightweight Python framework and starting template for agents that let the model choose its own approach to each task.

Harness by ArtificialAnalysis

IndexedMIT★ 667
Write a review

Chalk Labs

Need help deploying Stirrup?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

From the package registry. Read the repository before you give any tool access to your data.

pip install stirrup

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Stirrup is a lightweight Python framework and starting template for agents. The model chooses its own approach to a task instead of following a fixed workflow, and built-in tools cover web search and fetch, code execution locally, in Docker or in an E2B sandbox, and file input and output. It includes an MCP client, a skills system, a built-in user input tool for human feedback, automatic summarization of long conversations, and OpenAI-compatible APIs through OpenRouter or LiteLLM. A TypeScript implementation, StirrupJS, is maintained separately.

Use cases: agent-orchestration, web-search

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Fact sheet

Languages
Python, TypeScriptREADME
Packages
stirrup (pypi)README
MCP support
Built inREADME
Agent Skills support
Built inREADME
Human in the loop
YesREADME
Model providers
openrouterREADME
Maturity
Betagithub.com

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Alternatives

Frameworks for the same language with a similar way of orchestrating agents.

Compare and alternatives

Signals

Stars
667
Forks
64
Open issues
5
Weekly downloads
65,259
Last commit
Oct 22, 2026 (9 days ago)
Last release
Oct 22, 2026 (9 days ago)
Last package publish
Oct 22, 2026 (9 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Packages
pypi stirrup
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get Stirrup running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying Stirrup?

CallGet help
Cite this page

Stirrup. Agent Mart. https://agentmart.dev/harnesses/stirrup (last updated 2026-10-24)