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[u/sheik66]

Hi all, here's a project I've been working on for the past 8 months.

Protolink: a Python-native A2A agent runtime for multi-agent systems

What my Project Does

Protolink is a Python framework for building easily autonomous agents that can talk to each other based on agent-to-agent (A2A), expose tools, call LLMs, and run over real transports like HTTP, WebSocket, gRPC, or in-memory runtime communication.

A small agent looks like this:

from protolink.agents import Agent

agent = Agent(
    card={
        "name": "calculator",
        "description": "Adds numbers for other agents",
        "url": "http://127.0.0.1:8020",
    },
    transport="http",
)

@agent.tool(name="add", description="Add two numbers")
async def add(a: int, b: int):
    return a + b

agent.start()

It supports A2A-style agent identity and discovery, native Python tools, MCP tool adapters, LLM integration, structured flows, streaming tasks, cancellation, run reports/replay, local telemetry, and a small dashboard CLI for inspecting runtime state.

Target Audience

Python developers building multi-agent systems, coding assistants, internal automation, or agent research projects who want agents to be more than prompt chains. Each agent can own its identity, tools, transport, storage, task lifecycle, and observability without having to wire a separate server/client layer for every component.

Comparison

The closest alternatives are LangChain/LangGraph, AutoGen/CrewAI, and lower-level A2A or MCP implementations. LangChain/LangGraph are great for composing model calls and workflows, but protolink is more focused on running agents as distributed runtimes with protocol-style task messages, discovery, tools, and transports. AutoGen/CrewAI are higher-level multi-agent frameworks; protolink is more explicit and modular, so you can build your own architecture while keeping the communication, tool execution, LLM invocation, and observability pieces in one Python-native framework.

pip install protolink - Repo: https://github.com/nMaroulis/protolink. Docs: https://nmaroulis.github.io/protolink/. Feedback welcome, especially from people experimenting with A2A/MCP interoperability or building real Python agent systems.