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A Unified Workspace for AI Agents

An open platform to build, manage, and orchestrate AI agents from any provider.

View Roadmap Explore PyAgentAI

Building for the Community

We are committed to open source. Explore our Python library for interacting with the Agent.ai platform and contribute to the future of multi-agent systems.

PyAgentAI

A Python library for seamless integration with Agent.ai APIs, enabling developers to easily connect, discover, and interact with agents on the platform.

  • Connect to the Agent.ai API with just a few lines of code.
  • Discover and interact with agents available on the platform.
  • Integrate Agent.ai services into your Python applications.
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Everything You Need to Build, Deploy, and Scale

Meepo is engineered to be the single, unified platform that connects your entire AI development lifecycle, from data ingestion to production deployment.

Framework-Agnostic SDK

Our open-source Python SDK, pymeepo, provides a universal adapter to integrate agents from any framework.

Powerful Orchestration

Leverage Microsoft AutoGen as the core engine to build and coordinate complex, multi-agent workflows.

Extensible RAG Pipeline

Ingest data from any source and integrate with any RAG framework, including LlamaIndex, LangChain, and GraphRAG.

Flexible Output Integrations

Deliver agent responses to any channel: APIs, WebSockets, chatbots, social media bots, or newsletters.

Hosted Tool & Agent Catalog

Discover, share, and reuse pre-built tools, agents, and workflows from our hosted Meepo Cloud Platform catalog.

Enterprise-Grade Security

Manage your production environment with confidence using features like RBAC, audit logs, and centralized secret management.

Flexible by Design

Meepo’s open architecture gives you the freedom to choose the best tools for the job at every stage of your workflow. No lock-in, just limitless possibilities.

1. Ingest & Embed

Bring your data from anywhere and use your preferred RAG framework.

Supported Data Sources:

  • Websites & Web Scraping
  • Databases & APIs via Zapier
  • PDFs, Docs, and other files

RAG Frameworks:

  • LlamaIndex
  • LangChain
  • Microsoft GraphRAG
  • And more...

2. Build & Orchestrate

Use Microsoft AutoGen as your core engine with adapters for any agent framework.

Core Engine:

  • Microsoft AutoGen

Agent Framework Adapters:

  • CrewAI
  • Flowise
  • LangChain Agents
  • Build your own

3. Deploy & Output

Deliver agent responses to any internal or external destination.

Output Channels:

  • REST API Endpoint
  • WebSocket Stream
  • Social Media Bots (Twitter, etc.)
  • Newsletters & Email
  • Embeddable Chatbots

Development Roadmap

We follow a weekly development cycle with clearly defined tasks and deliverables. Here’s what to expect as we build the future of agent orchestration.

Phase 1

Aug 4 - Aug 31

Foundation & RAG

  • Project setup & architecture decisions
  • Database design & basic ingestion
  • Data loaders & background workers
  • Retrieval pipeline & evaluation

Phase 2

Sep 8 - Oct 12

Agent System

  • Authentication & agent foundations
  • LLM integration & tool system
  • Streaming & secret management
  • Guardrails & content moderation
  • Agent orchestration & cost tracking

Phase 3

Oct 20 - Nov 16

Integrations & UI

  • Output integrations foundation
  • OAuth flows & external APIs
  • Chat UI & real-time features
  • Embeddable widget & SDKs

Phase 4

Nov 24 - Dec 28

Production Ready

  • Observability & monitoring
  • Security hardening & performance
  • Infrastructure & deployment automation
  • Production deployment & launch prep
  • Beta release & user onboarding