.NET implementation of the Agent2Agent (A2A) protocol to enable secure, interoperable communication between autonomous agents across frameworks and vendors.
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Updated
Aug 21, 2025 - C#
.NET implementation of the Agent2Agent (A2A) protocol to enable secure, interoperable communication between autonomous agents across frameworks and vendors.
Framework for configurable AI Agents
The Agent & Tool Arbitration Protocol
A decentralized protocol for agent trust, dialogue, and influence in open multi-agent systems.
An AI sparring partner for your mind. Project Eidolon stress-tests your ideas by refracting them through six intellectual domains—from physics to philosophy—including a 'Divergent' lens for unconventional thinking. It's a tool for thought, powered by a symbolic LLM-to-LLM protocol.
Educational multi-agent apps using ADK and FastAPI — built at GDG Hackathon Milan 2025
A blueprint for a synthetic mind. This AI strategist doesn't just reason; it proactively gathers real-time data and simulates future outcomes. Its cognitive architecture features a parallel Cognitive Loop with metacognition and focused attention, all defined in a symbolic, LLM-to-LLM protocol.
An agent with an executive function. Metis uses a core reasoning matrix to decide how to think, dynamically creating its own perceptual faculties for each problem. This is a new architecture for building autonomous agents whose strategy and identity emerge directly from a symbolic protocol.
EMCL (Encrypted Model Context Layer): A secure protocol for AI tools with encrypted, signed, identity-aware JSON-RPC calls.
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