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agentsync

von jarmstrong158Version 0.2.0i★ –iLäuft auf deinem Computer
Name in der Registryio.github.jarmstrong158/agentsync

Installieren

Überblick

Beschreibung vom Entwickler (englisches Original)

Multi-agent coordination MCP: claim work, survey peers, resolve conflicts via a git branch as CAS.

Die drei Säulen von PopNx MCP

Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.

Was du damit machen kannst

Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.

  • Verbindung: Läuft auf deinem Computer
  • Transport: stdio
  • Kategorie: Entwicklertools

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

Bevor du installierst

  • Basischecks: 1 von 1 bestanden
  • Läuft auf deinem Computer mit den Rechten deines Benutzerkontos (Dateien, Netzwerk, Apps).
  • Das trägst du selbst ein: AGENTSYNC_REPO, AGENTSYNC_AGENT_ID, AGENTSYNC_BRANCH

Du brauchst

  • PyPIuv für Python installiert (für den Befehl uvx)

Welche App nutzt du?

Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.

Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein

{
  "mcpServers": {
    "agentsync": {
      "command": "uvx",
      "args": [
        "agentsync-mcp"
      ],
      "env": {
        "AGENTSYNC_REPO": "your-value",
        "AGENTSYNC_AGENT_ID": "your-value",
        "AGENTSYNC_BRANCH": "your-value"
      }
    }
  }
}

Führe das in deinem Terminal aus

claude mcp add agentsync --env AGENTSYNC_REPO=your-value --env AGENTSYNC_AGENT_ID=your-value --env AGENTSYNC_BRANCH=your-value -- uvx agentsync-mcp

Trag die leeren Werte ein, bevor du ihn startest.

In Cursor öffnen

Oder kopier die Einstellungen selbst

In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen

{
  "mcpServers": {
    "agentsync": {
      "command": "uvx",
      "args": [
        "agentsync-mcp"
      ],
      "env": {
        "AGENTSYNC_REPO": "your-value",
        "AGENTSYNC_AGENT_ID": "your-value",
        "AGENTSYNC_BRANCH": "your-value"
      }
    }
  }
}

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

In VS Code öffnen

Oder kopier die Einstellungen selbst

In .vscode/mcp.json in deinem Projekt einfügen

{
  "servers": {
    "agentsync": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "agentsync-mcp"
      ],
      "env": {
        "AGENTSYNC_REPO": "your-value",
        "AGENTSYNC_AGENT_ID": "your-value",
        "AGENTSYNC_BRANCH": "your-value"
      }
    }
  }
}

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.

Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.

Werte, die du selbst einträgst

  • AGENTSYNC_REPO env
    Absolute path to the shared project git clone used for coordination.
  • AGENTSYNC_AGENT_ID env
    Your unique agent id, used to key your claims.
  • AGENTSYNC_BRANCH env
    The dedicated coordination branch (default: agentsync).

Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.

Was er kann

Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.

Basischecksi

Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026

  • ✓ Bestanden

    Entwickler passt zum Repo

    Der Registry-Name wurde mit dem GitHub-Konto jarmstrong158 bestätigt, dem das Repo gehört

  • … Noch nicht geprüft

    Wird noch gepflegt

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • … Noch nicht geprüft

    Hat eine Lizenz

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • – Nicht zutreffend

    Endpunkt antwortet

    Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet

  • – Nicht zutreffend

    Anmeldung mit OAuth

    Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen

  • … Noch nicht geprüft

    Keine versteckten Anweisungen in Tool-Beschreibungen

    Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen

Im Vergleich mit anderen in Entwicklertoolsi

  • Mehr Sterne als 0 % der anderen 1387 Server in dieser Kategorie
  • Neuer in der Registry veröffentlicht als 38 % der anderen 1387 Server in dieser Kategorie
  • Basischecks gleich gut wie oder besser als bei 100 % der anderen 1387 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

Häufige Fragen

Ist agentsync sicher?

Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.

Welche Schlüssel oder Codes braucht er?

Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.

Läuft er auf meinem Computer oder in der Cloud?

Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).

Wird er noch gepflegt?

Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.2.0) kam vor 3 Monaten in die Registry.

Welche Apps können ihn nutzen?

Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.

Was kann ich stattdessen nutzen?

In derselben Kategorie: GitHub, Desktop Commander, Cloudflare MCP

Alternativen

Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.

So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti

GitHub

von github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

Computer oder Cloud★ 34.245MITAktualisiert vor 3 Tagen
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Desktop Commander

von wonderwhy-er

MCP server for terminal commands, file operations, and process management

Läuft auf deinem Computer★ 10.225MITAktualisiert vor 15 Tagen
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Cloudflare MCP

von cloudflare

Cloudflare MCP servers

Läuft in der Cloud★ 4.446Apache-2.0Aktualisiert vor 14 Monaten
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README vom Entwickler

README öffnen

Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.

agentsync

An MCP server that lets two (or more) AI agents collaborate on the same git repository without stepping on each other. Each agent declares what it's building before it builds, sees what its partner has claimed, and detects conflicts when work lands — all coordinated through the repo itself, with no lock server and no requirement that both agents be online at once.

How it works (one paragraph)

Coordination state is a single claims.json living on a dedicated agentsync branch (kept out of main, so it never pollutes your code history and isn't blocked by main's branch protection). Each agent's claim declares the work, the files it will touch, what it requires, its branch, and a status. Overlap is plain set intersection. Writes use a read-modify-write loop with git push as a compare-and-swap: if the push is rejected, the server re-fetches the latest claims and re-evaluates, so a colliding peer claim is *observed before* this agent's claim is committed. All git work happens in a private worktree under .git/, so your agent's actual code branch is never disturbed.

See DESIGN.md for the architecture rationale and AGENTS.md for the playbook your agent follows to drive the tools.

Install

pip install -r requirements.txt      # just `mcp`

For anything that talks to GitHub — provisioning a repo (provision), inviting a collaborator (add_collaborator), or opening a PR (finish) — you also need the GitHub CLI, authenticated with repo scope:

gh auth login        # one-time; check with `gh auth status`

Configure

Both collaborators add the server to their MCP client, each with their own agent id and their own local clone. See mcp.config.example.json:

{

"mcpServers": { "agentsync": { "command": "python3", "args": ["/abs/path/to/agentsync_server.py"], "env": { "AGENTSYNC_BOARD_REPO": "/abs/path/to/the/clone/holding/the/board", "AGENTSYNC_AGENT_ID": "jonny" } } } }

env varrequireddefaultmeaning
AGENTSYNC_BOARD_REPOyes\*—path to the clone that holds the board
AGENTSYNC_REPOno—legacy alias for AGENTSYNC_BOARD_REPO
AGENTSYNC_AGENT_IDyes—your unique agent id
AGENTSYNC_REMOTEnoorigingit remote name
AGENTSYNC_BRANCHnoagentsynccoordination branch name
AGENTSYNC_PARTNER_GITHUBno—partner GitHub user(s) to invite (comma/space-separated)
AGENTSYNC_STALE_HOURSno24age after which an in-progress claim is flagged stale
AGENTSYNC_GIT_TIMEOUTno25seconds any single git/gh call may run before it fails fast

The agentsync branch is created automatically on the first survey() or claim() call against an explicitly addressed board — no manual setup.

Where the board lives (board addressing)

\* The board is a shared, long-lived team artifact, not a property of whichever repo you happen to be sitting in. So its address is resolved independently of the session, in this order:

  1. `AGENTSYNC_BOARD_REPO` — the explicit board address. This never follows the Xylem session pointer (~/.xylem/active_project.json).
  2. `AGENTSYNC_REPO` — the legacy explicit pin; identical effect.
  3. The current repo (session pointer, else the cwd's git root) — but *only if that repo actually holds the coordination branch*. The check is a real ref lookup (local head → remote-tracking ref → ls-remote), so this fallback can only ever select a repo that genuinely is a board.
  4. Otherwise a `ConfigError` naming `AGENTSYNC_BOARD_REPO` — never a silent selection of a boardless repo.

survey() reports the board it actually read under board: {repo, source}, so "the team is quiet" and "I am looking at the wrong board" are distinguishable.

Why this order. Previously an unpinned server followed the session pointer blindly. The board therefore changed identity whenever the session changed project, and in any project that had never been provisioned it simply disappeared — reported downstream as "no coordination branch found" and treated as normal. cambium's distill() applies this exact same resolution, so the two halves of the suite can never disagree about where the board is.

Starting from nothing (no repo yet)

If the shared repo doesn't exist on GitHub yet, one person runs provision() once. Point AGENTSYNC_BOARD_REPO at the folder you want the project in (it can be empty or not yet created) and call:

provision(repo="you/our-project", partner_github="their-username")

This creates the GitHub repo (private by default), makes the first commit, seeds the agentsync coordination branch, and invites your partner as a push collaborator. It's idempotent — safe to re-run. Then send your partner the clone_url it returns; once they accept the invite and clone, both of you point the MCP server at your own clones and the normal protocol below takes over.

Tools

`provision(repo="", partner_github="", private=True, description="")` — one-time bootstrap when the shared repo doesn't exist yet. Creates the GitHub repo via gh, makes the first commit, seeds the agentsync branch, and invites the partner as a push collaborator. Idempotent. Returns the clone_url to hand your partner. (Needs the gh CLI authenticated with repo scope.)

`add_collaborator(github_username, permission="push")` — invite one or more people (comma/space-separated) to the existing shared repo so they can push (pull|triage|push|maintain|admin). Use this when the repo already exists and you just want to grant access — this is how you build a team of more than two. They must accept the GitHub invite, then clone. (Needs gh with admin on the repo.)

`survey()` — pull the latest state and report what every *other* agent has claimed: task, files, dependencies, branch, status, timestamp. Works for any number of collaborators. Each partner entry is annotated with age_hours and a stale flag (in-progress and older than AGENTSYNC_STALE_HOURS, default 24h), and a top-level stale_claims list — so you can spot a partner who crashed or walked away still holding files. Run it before planning and after finishing.

`claim(task, touches, requires=None, branch="", force=False)` — stake a unit of work. Refuses with status: "blocked" if your touches hits a partner's active files (you'd get in their way) or your requires hits their in-progress files (you'd build on unstable ground), returning exactly what overlaps and with whom. Overlap is path-aware: exact match, directory containment (src/api vs src/api/routes.py), and globs (src/**, *.py) all collide, and paths are normalized first (./auth.py == auth.py). The overlap is checked against freshly-fetched state immediately before the push. Pass force=True to claim anyway (e.g. same large file, disjoint regions). If your agent id already holds an in-progress claim written by a different server instance — another agent is live under the same id — claim() returns blocked with a shared_agent_id reason naming the task, branch and files that would be erased, because one id holds exactly one claim. Give each agent its own id; force=True overrides it for the legitimate case of a restarted server reclaiming its own slot, and then the result carries a warning listing the files that just lost their protection.

`release(note="")` — abandon your current claim without marking it done, freeing the files for a partner to take over. Use it when you drop a task or step away — otherwise a crashed/abandoned claim blocks those files until someone does manual git surgery. Pushes immediately.

`check_conflicts(against_branch="")` — after building, diff your branch against your partners' branches at two levels:

  • claim_overlap — declared-path intersection (intent, path-aware).
  • merge_conflict — a real git merge-tree dry-run merge (textual). Catches collisions the claims didn't predict.

Defaults to every branch named in an active peer claim; pass against_branch to check one specific branch.

`update_status(status, note="")` — set your own claim's status (planning | in-progress | done) and optionally leave a note for your partner. Pushes immediately. On done, the claim is auto-annotated with changed_files — your branch's diffstat vs the default branch — so your partner reconciles against real data, not just a hand-written summary. It is computed in the board repo, and a claim records a branch *name* with no repo qualifier, so changed_files_repo names the repo the diffstat actually came from: where you coordinate on a dedicated board repo, a same-named branch there will diff cleanly and produce a confidently wrong file list. Check the label before trusting the list. (To drop a claim without finishing it, use release().)

`finish(note="", title="", draft=False)` — close the loop: mark your claim done and open a GitHub pull request from your claimed branch into the default branch. Falls back to your claim's task/note for the PR title/body, and returns the existing PR's URL if one is already open. Your branch must be pushed. (Needs gh.)

`history(limit=20)` — the coordination timeline (who claimed, finished, or released what, and when) read from the git history of claims.json, newest first. Answers "what has my partner been up to?" even when they're offline.

The workflow (what your agent does)

  1. provision(...) — once, only if the repo doesn't exist yet (then both clone)
  2. survey() — what's my partner working on, if anything?
  3. plan a slice that doesn't overlap their active work
  4. claim(...) — if blocked, narrow the slice or wait
  5. build on your branch
  6. survey() again — where are they now?
  7. check_conflicts() — does their landed work collide with mine?
  8. reconcile (rebase/merge or flag) → update_status("done", ...) or finish(...) to also open a PR

The full prompt your agent should run is in AGENTS.md.

More than two agents

Nothing here is limited to two. claims.json is keyed by agent id, claim() checks your plan against *every* peer, and the compare-and-swap only ever edits your own key — so three, four, or more agents coordinate safely. To run a team:

  • Invite everyone: add_collaborator("alice, bob, carol") (or list them in provision(partner_github=...)).
  • Give every agent a unique `AGENTSYNC_AGENT_ID` — every *agent*, not every person. One person running a desktop session, a phone and a remote agent needs three ids, for the same reason three people do: one id holds exactly one claim. claim() blocks rather than overwriting a live claim under your own id, but a unique id per agent avoids the collision entirely.

This guard used to key on a per-process token, which meant it caught a restarted server and waved through a *concurrent session* -- one agentsync process serves every session on a machine, so two sessions shared the token and silently overwrote each other. It now keys on the work: a claim for a different task, while one is in progress under your id, is refused whatever process wrote it. Re-claiming the *same* task stays free, which is how you widen touches mid-unit. release(expect_task=...) covers the other direction, refusing to close a claim that is not the one you think you hold.

  • Contention stays cheap for

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