AgentsMesh

Source#

• Repository: AgentsMesh/AgentsMesh
• Last source update: 2026-04-05
• Last verified: 2026-04-05

Tags#

Integration notes#

Platform-level abstraction; use worker wrappers for strict I/O schemas and auditable retries.

worker.md example#

Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.

---
id: agentsmesh-repo-derived-worker
name: AgentsMesh Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/agentsmesh/
source_repository: https://github.com/AgentsMesh/AgentsMesh
repository_default_branch: main
repository_language: Go
repository_license: NOASSERTION
repository_updated_at: 2026-04-05
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-04-05
tags:
  - agent-orchestration
  - agentsmesh
  - ai-agent
  - ai-coding
  - aider
  - claude-code
---

# AgentsMesh Repo-Derived Worker

## Repo-derived summary
- Registry summary: AgentsMesh — AI Agent Fleet Command Center. Orchestrate Claude Code, Codex CLI, Gemini CLI, Aider and more from a single platform.
- Repository description: AgentsMesh — AI Agent Fleet Command Center. Orchestrate Claude Code, Codex CLI, Gemini CLI, Aider and more from a single platform.
- Stars (snapshot): 1,266
- Primary language: Go
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/AgentsMesh/AgentsMesh
- https://github.com/AgentsMesh/AgentsMesh/blob/main/README.md
- https://agentsmesh.ai
- https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview

## Evidence notes (from repository text)
- README summary paragraph: The Agent Workforce Platform. Give every team member an AI agent squad — assign tasks, track progress, and let them collaborate autonomously.
- Give every team member an AI agent squad — assign tasks, track progress, and let them collaborate autonomously.
- Individual productivity has peaked. The next frontier is organizational. AgentsMesh turns AI agents from solo tools into a coordinated workforce.
- - **AgentPod** — Remote AI workstations with web terminal, Git worktree isolation, and real-time streaming. Run multiple concurrent pods.
- - **Multi-Agent Collaboration** — Coordinate agents through channels and pod bindings. Visualize the collaboration topology in real-time.
- - **Multi-Agent Support** — Claude Code, Codex CLI, Gemini CLI, Aider, OpenCode, and any custom terminal-based agent.

## Installation hints found in README
- `npm install && pnpm dev`

## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.

### Input schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "task",
    "context"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "task": {
      "type": "string"
    },
    "context": {
      "type": "object"
    }
  }
}
```

### Output schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "status",
    "result"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": [
        "ok",
        "retryable_error",
        "invalid_request",
        "invalid_output"
      ]
    },
    "result": {
      "type": "object"
    }
  }
}
```

### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use

## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.

How to use#

• Save this as a worker spec file (for example: agentsmesh-my-task.worker.md).
• Replace the input/output schemas and purpose with your real bounded task.
• Enforce schema validation + timeout + retry policy in your runtime before production use.

Citation#

Reference URL: https://worker.md/registry/agentsmesh/

Source URL: https://github.com/AgentsMesh/AgentsMesh