olserra

olserra / agent-semantic-protocol

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Agent Semantic Protocol v1.0.0— Semantic interoperability layer for AI agents (MCP extension)

github.comolserraagent-semantic-protocol
25
1
100% credibility
Found Feb 23, 2026 at 23 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

Agent Semantic Protocol is a lightweight open-source framework for AI agents to communicate intentions semantically via embeddings, negotiate capabilities, and coordinate distributed workflows over peer-to-peer connections.

How It Works

1
🔍 Discover smart AI teamwork

You learn about Agent Semantic Protocol, a way for AI helpers to understand each other deeply and team up on tasks without rigid instructions.

2
🚀 Launch the example

Grab the ready example and start it up easily to see AI agents in action right away.

3
🤝 See agents greet and connect

Watch your AI agents introduce themselves, share their strengths, and build instant trust through a friendly hello.

4
🆕 Create your own agent

Make a new AI buddy by naming it and listing what it's good at, like chatting naturally or solving puzzles.

5
📡 Link agents together

Connect your agents so they can find each other and share announcements about what they can do.

6
💬 Ask for help and negotiate

Have one agent share a goal, like summarizing a story, and others respond if they match well, planning steps as a group.

🎉 AI team tackles big tasks

Your agents now collaborate smoothly on complex jobs, passing work around intelligently for amazing results.

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Star Growth

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AI-Generated Review

What is agent-semantic-protocol?

Agent Semantic Protocol (Symplex v0.1) is a Go-built semantic interoperability layer for AI agents, acting as an MCP extension. It lets agents communicate goals via compact float32 embeddings instead of fixed JSON schemas, supporting handshake, intent negotiation, and distributed workflows over libp2p P2P transports. Developers get dynamic discovery, cosine-similarity bidding, and federated trust via Ed25519 DIDs—no central broker needed.

Why is it gaining traction?

Unlike MCP or A2A's client-server JSON, this protocol enables P2P meshes with spontaneous capability ranking and TTL registries, routing tasks by semantic match. The hook: quick demos for handshakes and negotiations run via `go run examples/...`, plus adapters like Picoclaw for real AI services. Go efficiency shines in low-latency agent swarms.

Who should use this?

AI engineers building multi-agent systems for tasks like chained NLP-reasoning-codegen pipelines. Go backend devs prototyping decentralized agent fleets for research sims or edge AI meshes. Teams extending MCP tools needing semantic routing without API registries.

Verdict

Grab it for agent experiments—v0.1 core is stable with passing tests, clear docs, and runnable demos—but 22 stars and 1.0% credibility signal early days; monitor v0.2 for QUIC/WebRTC polish before prod.

(187 words)

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