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OpenRath

Rath-Team/OpenRath

An open-source runtime for dynamic multi-agent workflows

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

36views this month

1.1k stars59 forksLast push Jul 31, 2026 Python BSD-3-Clause

Decision brief

OpenRath highlights its unique capabilities in managing multi-agent workflows dynamically, offering an open-source runtime with Python integration that rivals PyTorch but focuses on AI agents and their sessions.

Good fit when

You need to simulate complex interactions between multiple AI agents in real-time scenarios where dynamic changes are frequent.
Your project requires a provenance tracking system for multi-agent systems to audit actions and decisions made by the agents.

Avoid when

If you are working on single-agent tasks with limited or no need for interaction between agents, OpenRath's capabilities may be overkill.
When your focus is exclusively on model training rather than runtime workflows and interactions, other libraries or frameworks might offer more direct support.

Observed Jul 16, 2026 · Source: enrich:decision_facts

OpenRath alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Steady (50d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install OpenRath

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

OpenRath is an open-source runtime developed in Python that supports dynamic multi-agent and multi-session workflows similar to PyTorch's capabilities but tailored for AI agents.

Capability facts

CLI: CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
Languages: python
Source: github.language+pyproject.toml · Sep 20, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

pip install openrath

Source link

README

Quick Install Optional sandbox and memory integrations: For source development: Most LLM examples use OpenAI compatible environment variables: You can also configure providers in . Environment variables take precedence. License OpenRath uses a BSD style license. See LICENSE.

For agents

This page has a .md twin and JSON over the API.

/tools/rath-team-openrath.md GET /api/graphcanon/tools/rath-team-openrath GET /api/graphcanon/graph?tool=rath-team-openrath