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...
Source#
- Repository: DemonDamon/AgenticX
- Last source update: 2026-05-24
- Last verified: 2026-05-24
Tags#
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