OpenRath
An open-source, PyTorch-like runtime for dynamic multi-agent and multi-session workflows.
No outside reports on file
OpenRath's multi-agent architecture creates extra data-sharing and command-passing risks beyond single-agent systems; careful access controls and input validation are essential.
Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (Rath-Team/OpenRath)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/Rath-Team/OpenRath ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-23.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About OpenRath
OpenRath is a runtime system that helps AI agents work together and manage multiple conversations at once, similar to how PyTorch manages machine learning tasks. It's designed to coordinate complex workflows where multiple AI agents need to communicate and share information.
Who it’s for
Developers building multi-agent AI systems or applications that need AI models to collaborate on tasks. Teams experimenting with distributed AI workflows.
Alternatives
- LangGraph: LangChain's library for building agentic workflows with state management.
- AutoGen: Microsoft's framework for multi-agent conversation and coordination.
- Crew AI: Agent orchestration framework focused on team-based AI workflows.
- DSPy: Framework for programmatically designing AI agent behaviors.
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README at https://github.com/Rath-Team/OpenRath (opens external site) for installation and configuration instructions, as setup details vary by use case.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 959
- Listing last refreshed
- 2026-10-29
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Agent-to-agent communication: The system allows agents to exchange data and commands; a compromised agent could send malicious instructions to others or access shared session data.
- Session data exposure: Multi-session workflows may store conversation history or intermediate results; improper access controls could leak sensitive information between sessions.
- Dynamic code execution: Runtime systems often execute code dynamically; malicious workflow definitions could potentially run unintended operations.
- Third-party dependencies: Like most Python projects, OpenRath relies on other libraries; vulnerabilities in dependencies could compromise the whole system.
- Prompt injection in multi-agent chains: Attackers could craft inputs designed to trick one agent into sending harmful instructions to another agent in the workflow.
How to lower the risk
Least-privilege permissions
- Give each agent only the permissions and data it genuinely needs.
- Run agents under separate OS user accounts when possible.
Network isolation
- Restrict agent-to-agent communication to internal networks only.
- Use firewalls to block unexpected outbound connections.
Monitoring
- Log all inter-agent messages and workflow executions.
- Alert on unusual agent behavior or data access patterns.
Red flags to watch for
- Agents requesting permissions beyond their defined role.
- Unexpected data transfers between sessions or agents.
- Sudden changes to workflow definitions or agent behavior.
Questions
How do I install OpenRath?
OpenRath does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/Rath-Team/OpenRath.
Are there security reports about OpenRath?
No reports found for this package in our research (last checked 2026-10-30). OpenRath currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include agent-to-agent communication, session data exposure, dynamic code execution.
Is OpenRath actively maintained?
OpenRath has 959 GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/Rath-Team/OpenRath before pinning it in production.
What are alternatives to OpenRath?
Notable alternatives to OpenRath include LangGraph (LangChain's library for building agentic workflows with state management), AutoGen (Microsoft's framework for multi-agent conversation and coordination), Crew AI (Agent orchestration framework focused on team-based AI workflows), DSPy (Framework for programmatically designing AI agent behaviors). You can also compare OpenRath side by side with other MCP servers in the Related tools section on this page.
README badge and team notes
Maintain or use OpenRath? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/rath-team-openrath)HTML embed:
<a href="https://agentarmorhq.com/skills/rath-team-openrath"><img src="https://agentarmorhq.com/api/badge/rath-team-openrath" alt="AgentArmorHQ Risk Grade for OpenRath" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "rath-team-openrath"Share with your security lead
Need sign-off to use OpenRath? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: OpenRath
- **Listing URL:** https://agentarmorhq.com/skills/rath-team-openrath
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 959 GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (Rath-Team/OpenRath)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/Rath-Team/OpenRath
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- App connector
- Publisher
- Rath-Team
- Source code
- github.com/Rath-Team/OpenRath
- Est. context load
- ~1k tokens / turn (~6 tool schemas, 0.5% of 200k context)
- Popularity
- 959 GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-23
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