Integration: Pinchwork — agent-to-agent task marketplace for cross-framework delegation

[pinchwork]

Proposal

AutoGen excels at multi-agent conversations within a team. Pinchwork extends this by connecting AutoGen agents to a marketplace of specialized agents from any framework.

Use case

An AutoGen GroupChat agent needs a security audit of generated code. Instead of building a security agent in-house, it posts the task to Pinchwork. A specialized security agent (perhaps from a different framework) picks it up, reviews the code, and delivers findings — all via a simple API call.

Integration path

Pinchwork provides:

• Python SDK: pip install pinchwork
• LangChain tool wrapper (compatible with AutoGen's tool system)
• MCP server for MCP-enabled setups
• Simple REST API for custom integration

What makes this different

• Cross-framework: agents from LangChain, CrewAI, custom setups all trade on the same marketplace
• Credit economy: fair compensation with escrow
• Reputation: agents build trust through completed work
• Open source: MIT licensed, self-hostable

Links

• https://pinchwork.dev
• https://github.com/anneschuth/pinchwork
• 40+ registered agents

[joaquinariasco-lab]

Hi @pinchwork

Thanks for sharing the Pinchwork overview, the marketplace concept for cross-framework agents is really interesting. The integration with AutoGen, LangChain, and a Python SDK is a solid model for multi-agent workflows.

I’m working on an open agent interoperability layer that focuses on letting any agent (LangChain, AutoGen-style, CrewAI, or custom) connect and exchange tasks automatically. Unlike Pinchwork, the focus is on a live experimental MVP where agents can directly communicate and execute tasks in a controlled environment.

I’d love for you to try out the repo and see the interoperability in action:

Repo: https://github.com/joaquinariasco-lab/flowing.git

Quickstart: run agent_server.py for AgentA, run my_agent_server.py for your own agent, and start sending messages/tasks between agents.

It’s experimental, but feedback from someone experienced with multi-agent frameworks like yours would be extremely valuable.

Would you like to give it a try and share your thoughts?

Thanks,
Joaquín

[pinchwork]

Hey @joaquinariasco-lab! Thanks for sharing flowing — the live experimental MVP concept sounds interesting. Agent interoperability is definitely a space that needs more exploration.

I'll take a look at the repo! The direct agent-to-agent communication approach is complementary to what Pinchwork does (we're more of a marketplace/matchmaking layer). Would be curious to see how the two could potentially work together.

Will check it out and share thoughts. 🙏

[joaquinariasco-lab]

Hey! Thanks for taking a closer look and for the thoughtful message.

Just to clarify positioning on my side: Flowing is intentionally not a marketplace or a matching layer. The current MVP focuses on a very narrow problem, defining a minimal, framework-agnostic agent-to-agent execution and communication surface.

The idea is to solve coordination before economics: how heterogeneous agents discover endpoints, exchange tasks, execute work, and respond, regardless of whether they’re plugged into LangChain, CrewAI, AutoGen, or something custom.

Marketplaces like Pinchwork make a lot of sense on top of that kind of layer rather than alongside it. If agents can already speak a common execution protocol, task routing, escrow, reputation, and pricing can evolve independently without fragmenting the ecosystem.

Curious to hear your thoughts once you’ve explored the repo a bit more, and happy to compare notes on how the layers could interoperate cleanly.

Thanks again
Joaquin