causalmesh
No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 12 Oct 2026. How this is checked
CausalMesh is an MIT-licensed experimental platform for coordinating distributed LLM coding agents. It separates information from enforcement and supports policy, audit, evidence, and reproducible-research workflows for developers and researchers.
Inferred · not functionally tested
Overview
6 featuresPurpose: Coordinating distributed LLM coding agents while separating shared information from enforceable policies and audit controls.
Inferred · not functionally tested
Audience: AI agent developers and researchers
Inferred · not functionally tested
Functions: agents, collaboration
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
In the Multi-agent & orchestration space, causalmesh takes a focused approach. Inferred · not functionally tested: It focuses on coordinating distributed LLM coding agents while separating shared information from enforceable policies and audit controls. Inferred · not functionally tested: It is built as an open-source project for AI agent developers and researchers. Basis unknown · not verified: causalmesh is open source under the MIT license. Basis unknown · not verified: causalmesh is available on the command line, and it can be self-hosted.
Sagexd08 builds and maintains causalmesh, and it first shipped in 2026. The project is developed in the open on GitHub with 278 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include multi-agent coordination, policy enforcement, and audit trails.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Multi-agent coordination
- Policy enforcement
- Audit trails
- Evidence tracking
- Distributed agents
- Reproducible research
Topics: Inferred · not functionally tested
Built with & integrations
- Claude Code
- commit 6e1c01f8452c · since Sep 2026
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed12 Oct · 20:01 UTCcausalmesh seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about causalmesh
- What does causalmesh do?
- Inferred · not functionally tested: Causalmesh focuses on coordinating distributed LLM coding agents while separating shared information from enforceable policies and audit controls. It is catalogued under Multi-agent & orchestration on PulseGate.
- Who is causalmesh for?
- Inferred · not functionally tested: causalmesh is an open-source project built for AI agent developers and researchers.
- Does causalmesh have a free plan?
- Basis unknown · not verified: Yes — causalmesh is open source under the MIT license and free to use.
- What platforms does causalmesh run on?
- Basis unknown · not verified: causalmesh runs on the command line. It can also be self-hosted.
- Is causalmesh still maintained?
- The GitHub repository shows 278 commits in the last 90 days.
- What projects are similar to causalmesh?
- Similar projects tracked by PulseGate include swarmly, bannaha, and zero-agent-core-multi-agent.swarmlybannahazero-agent-core-multi-agent
- Who makes causalmesh?
- causalmesh is developed by Sagexd08.
- How long has causalmesh been around?
- causalmesh first shipped in 2026.
Also in Multi-agent & orchestration
Same category — not a similarity match