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  3. Agent Coherence
Agent Coherence logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 3:19:19 PM

Agent Coherence

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View Repository11 GitHub StarsTotal stargazers on GitHub for the source repository (11 stars).Visit Website
file-systemsconcurrencyagent-coordinationdeveloper-tools

Prevents stale agents from overwriting shared files by coordinating ownership, invalidation, and optimistic commits on one host.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "cohexa-ai-agent-coherence": {
      "command": "uvx",
      "args": [
        "--from"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿ“‚ More in File Systems

Overview

Cohexa-ai/agent-coherence MCP server coordinates access to shared files and agent state on a single host. It uses MESI-style ownership, invalidation, optimistic commit checks, and read-generation fencing to reject stale writes instead of silently applying them. Install the MCP variant with the project's uvx command and use it when multiple agents or processes may update the same plans, stores, or memory files. Its guarantees apply only to operations routed through the coordinator; cross-host fencing and outside effects are out of scope.

Use cases

โ€ขProtect shared planning files from stale agent overwrites
โ€ขCoordinate concurrent writes to agent memory files
โ€ขReject lost updates in shared store keys
โ€ขRetry writes after crash recovery or invalidation

Key features

โ€ขMESI-style ownership and invalidation
โ€ขOptimistic commit-CAS for concurrent writers
โ€ขRead-generation fencing for reclaimed writers
โ€ขSingle-host shared-file coordination
โ€ขTLA+/TLC-checked safety invariants

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Agent Coherence.

Extracted Tool Capabilities
MESI-style ownership and invalidation
Optimistic commit-CAS for concurrent writers
Read-generation fencing for reclaimed writers
Single-host shared-file coordination
TLA+/TLC-checked safety invariants

How Agent Coherence works

What Cohexa-ai/agent-coherence MCP server does

Cohexa-ai/agent-coherence MCP server helps prevent lost updates when multiple agents share an artifact such as plan.md, a store key, or memory.json. The coordinator tracks which agent owns a writable view, which version was read, and whether another participant has committed a newer version. A writer using an invalidated or stale view is refused rather than allowed to overwrite newer work.

The package is designed to sit below agent orchestration code rather than depend on one model provider. The README describes the same protocol for LangGraph, CrewAI, AutoGen, the OpenAI Agents SDK, plain files, custom orchestrators, and MCP clients. The MCP distribution is named stale-write-guard-fs and is installed through the mcp extra.

How it works

The coordination model combines MESI-style ownership and invalidation with optimistic concurrency. A normal stale-read overwrite is denied and must be followed by a reacquisition and fresh read. For concurrent writes, an optimistic commit-CAS allows one writer to succeed while returning a typed conflict to the other writer. Crash recovery adds a read-generation fence so a reclaimed agent cannot later commit using an old ownership epoch.

The implementation also accounts for invalidation signals that become obsolete, stale effects at an effect boundary, and inconsistent reads across multiple artifacts. A pinned multi-artifact session can fail closed if its snapshot expires instead of silently switching to live state. The project states that these safety invariants are machine-checked with TLA+/TLC and exercised in CI.

Setup and configuration

The repository requires Python 3.11 or newer. The MCP server can be run with:

bash
uvx --from "agent-coherence[mcp]" stale-write-guard-fs

The equivalent package installation shown in the README is pip install "agent-coherence[mcp]". Other extras provide adapters for LangGraph, CrewAI, and the OpenAI Agents SDK, but those are separate installation choices rather than requirements for the MCP server.

The coordinator is intended for a single host and a single coordinator. The README describes both durable SQLite and in-memory registries, with the same concurrency contract for concurrent access from several threads. Automatic heartbeat or TTL-based reclaim is enabled by default according to the project documentation.

Tools and capabilities

Cohexa-ai/agent-coherence MCP server is intended to protect shared filesystem state from stale writers. Its documented behavior includes:

  • Denying stale writes instead of silently overwriting newer content.
  • Detecting concurrent lost updates with an optimistic commit-CAS.
  • Rejecting commits from writers reclaimed after a crash.
  • Reacquiring ownership so an agent can reread current state and retry.
  • Using content-hash checks to detect edits that bypass the coordinator at the read/write boundary.
  • Supporting shared plain files through the CoherentVolume adapter.

The broader library also exposes integrations and APIs such as CCSStore, CoherentVolume, write_cas, and gate, but the excerpt does not define the MCP tool names or their individual schemas.

Limitations and notes

Cohexa-ai/agent-coherence MCP server does not provide cross-host fencing; the documented scope is one host and one coordinator. Guarantees apply to writers that use the coordinator. Human edits, formatters, or regenerating scripts that bypass it are not coordinated directly, although the documented boundary checks can detect foreign file changes.

The system does not verify external actions taken by an agent, such as sending an email, firing a webhook, deploying, or opening a pull request. Those actions remain the responsibility of an outbox or idempotency layer. The README also notes that some adapter paths are unverified, including the CrewAI and AutoGen replay wiring.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
11
Stargazers on the source repository.
Last commit
8d ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Agent Coherence

Install and run it with `uvx --from "agent-coherence[mcp]" stale-write-guard-fs`. Python 3.11 or newer is required.

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Technical Specs & Signals

Category๐Ÿ“‚File Systems
PricingFree
More technical detailsExpand โ–พ
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseMIT
Last updatedSep 7, 2026
10/10 checks healthy over the last 34d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars11
GitHub Star CountTotal stargazers on GitHub representing community popularity (11 stars).
Last commit8d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 4, 2026
53Quality signal: Good ยท 53/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

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Scanned 21d ago via OSV.dev ยท --from (PyPI)

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