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building ai agents
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nmaroulis/README.md

πŸ‘‹ Hello, I'm Nick and I'm an AI Engineer, currently living and working in Geneva, Switzerland. I'm mostly interested on the Generative AI domain with a strong focus on AI Agents. Currently working in my free time on my core project Protolink, a python framework for lightweight and minimal boilerplate Agent building. It extends Google's A2A protocol as a standalone, lightweight alternative to LangChain.
Protolink now powers the ProtoAgent Ecosystem, essentially an open-source, local-first alternative to Claude Code focused on locally deployed small LLMs (Ollama, LM Studio and more). By decoupling the architecture into a unified monorepo, the ecosystem is split into three distinct layers:
- ProtoAgent Core: The centralized Python "brain" of the operation. It utilizes the lightweight protolink library to handle all the heavy multi-agent orchestration (Architect βž” Explorer βž” Coder), system prompts, and tool routing.
- ProtoAgent CLI: A blazing-fast standalone terminal agent built in Rust that embeds Protolink via PyO3 for zero-setup local execution.
- ProtoAgent ACP: A Python-based server that brings Protolink's orchestration natively into your favorite code editors (like Zed and JetBrains) via the Agent Client Protocol.

Check it out πŸ‘‡πŸ‘‡.

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    Build autonomous Python agents with native Agent-to-Agent (A2A) communication

    Python 29 10

  2. protoagent protoagent Public

    A blazing-fast, local-first AI agent ecosystem. Orchestrate local LLMs with Python, run them in a native Rust terminal, or integrate directly into your editor via ACP.

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  5. awesome-a2a-libraries awesome-a2a-libraries Public

    A curated list of Agent-to-Agent (A2A) libraries and SDKs, organized by programming language.

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  6. metabench metabench Public

    Web platform that aggregates and normalizes LLM benchmark results from multiple sources.

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