Atomic Agents
Lightweight Python framework for composing AI agents and tools as small, typed pieces built on Instructor and Pydantic.
Harness by Eigenwise
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Install
From the package registry. Read the repository before you give any tool access to your data.
pip install atomic-agents
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About
Use cases: agent-orchestration
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Fact sheet
- Languages
- PythonREADME
- Packages
- atomic-agents (pypi)README
- Multi-agent
- Yeseigenwise.github.io
- Orchestration
- sequentialREADME
- Observability
- OpenTelemetry, Arize Phoenixeigenwise.github.io
- Model providers
- openai, groq, anthropic, googleREADME
- Maturity
- StableREADME
Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.
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Signals
- Stars
- 6,304
- Forks
- 557
- Open issues
- 2
- Weekly downloads
- 4,639
- Last commit
- Oct 24, 2026 (6 days ago)
- Last release
- Oct 21, 2026 (9 days ago)
- Last package publish
- Oct 21, 2026 (9 days ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Packages
- pypi
atomic-agents - License
- MIT
- Repository
- github.com/Eigenwise/atomic-agents
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- READMEDocsgithub-graphql
More from Eigenwise
Done for you
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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.
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- founders on every account
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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.
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Cite this page
Atomic Agents. Agent Mart. https://agentmart.dev/harnesses/atomic-agents (last updated 2026-10-24)