AI Worker worker.md

AgenticX

AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchica...

Tool registry 122 stars Python Apache-2.0 Worker-compatible

Source#

Tags#

agent-frameworkagentic-workflowsai-agentai-orchestrationchatbotdesktop-app

Integration notes#

Repository is focused on tool/server interoperability; wrap in bounded worker contracts for production use.

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: agenticx-repo-derived-worker
name: AgenticX Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/agenticx/
source_repository: https://github.com/DemonDamon/AgenticX
repository_default_branch: main
repository_language: Python
repository_license: Apache-2.0
repository_updated_at: 2026-05-24
worker_mode: tool-gateway-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-05-24
tags:
  - agent-framework
  - agentic-workflows
  - ai-agent
  - ai-orchestration
  - chatbot
  - desktop-app
---

# AgenticX Repo-Derived Worker

## Repo-derived summary
- Registry summary: AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchica...
- Repository description: AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
- Stars (snapshot): 122
- Primary language: Python
- Worker mode classification: tool-gateway-worker

## Extracted from
- https://github.com/DemonDamon/AgenticX
- https://github.com/DemonDamon/AgenticX/blob/main/README.md
- https://img.shields.io/pypi/v/agenticx
- https://img.shields.io/pypi/pyversions/agenticx
- https://www.codebuddy.cn/docs/workbuddy/WeixinBot-Guide

## Evidence notes (from repository text)
- README summary paragraph: [Architecture](#system-architecture) • [Features](#core-features) • [Quick Start](#quick-start) • [Examples](#complete-examples) • [Progress](#development-progress)
- # AgenticX: Unified Multi-Agent Framework
- https://deepwiki.com/badge.svg](https://deepwiki.com/DemonDamon/AgenticX)
- - **Agent Core**: Agent execution engine based on 12-Factor Agents methodology, with Meta-Agent CEO dispatcher, agent team management, think-act loop, event-driven architecture, self-repair, and overflow recovery
- - **Orchestration Engine**: Graph-based workflow engine + Flow system with decorators, execution plans, conditional routing, and parallel execution
- - **Tool System**: Unified tool interface with function decorators, MCP Hub (multi-server aggregation), remote tools v2, OpenAPI toolset, sandbox tools, skill bundles, and document routers

## Installation hints found in README
- `pip install agenticx`
- `pip install "agenticx[memory]" # Memory: mem0, chromadb, qdrant, redis, milvus`
- `pip install "agenticx[document]" # Document processing: PDF, Word, PPT parsing`
- `pip install "agenticx[graph]" # Knowledge graph: networkx, neo4j, community detection`

## worker.md contract (derived starter)
Purpose: Expose repository-supported tool/server capabilities behind a bounded worker interface.

### Input schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "request_id",
    "operation",
    "payload"
  ],
  "properties": {
    "request_id": {
      "type": "string"
    },
    "operation": {
      "type": "string"
    },
    "payload": {
      "type": "object"
    }
  }
}
```

### Output schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "request_id",
    "status",
    "result"
  ],
  "properties": {
    "request_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: request_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: agenticx-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/agenticx/

Source URL: https://github.com/DemonDamon/AgenticX