OpenRath
PyTorch-style Python framework for multi-agent, multi-session workflows, with a durable production runtime in v2.0.0.
Harness by Rath-Team
Chalk Labs
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Install
From the package registry. Read the repository before you give any tool access to your data.
pip install openrath
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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
- openrath (pypi)README
- Multi-agent
- YesREADME
- Orchestration
- otherREADME
- Memory
- long-termREADME
- Human in the loop
- YesREADME
- 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
- 961
- Forks
- 51
- Open issues
- 1
- Weekly downloads
- 23
- Last commit
- Sep 28, 2026 (1 month ago)
- Last release
- Jul 31, 2026 (3 months ago)
- Last package publish
- Jul 31, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Packages
- pypi
openrath - License
- BSD-3-Clause
- Repository
- github.com/Rath-Team/OpenRath
- Website
- www.openrath.com/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- READMEgithub-graphql
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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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
OpenRath. Agent Mart. https://agentmart.dev/harnesses/openrath (last updated 2026-10-24)