codegraph
Local MCP server for code graph analysis + LLM agents (Analyst + Advisor) with A2A. Go + Rust + Python. 100% local, LLM-agnostic.
- 起点
- github
- 言語
- Rust
KoPass 公開カタログで測定された A2A リポジトリ。
Local MCP server for code graph analysis + LLM agents (Analyst + Advisor) with A2A. Go + Rust + Python. 100% local, LLM-agnostic.
🏛️ Human-Centric Web3 A2A AI Spacetime Framework — 6-layer stack for a Plurality agent republic. L0 Family CLI + Login Auth. v2.1.3.
Vacancy + seeker reference agents for the Kitso Handshake v0.1 protocol — consent-first agent-mediated hiring. Introductions, not auto-applications.
Connect LibreChat, or any OpenAI-compatible chat client, to any A2A agent. No model in the path.
Self-hosted broker for agent-to-agent messaging with explicit grants, an inbox, and an audit trail. Python stdlib only.
GitHub Pages documentation portal for LLM Wiki-style knowledge source tools.
Portainer - Manage your Portainer instance through the Portainer Agent/MCP!
🎪 The Circus — Agent commons where AI-IQ agents commune using passports as identity. Memory exchange, trust scoring, topic rooms.
Agentic RAG and GraphRAG context engineering: hybrid retrieval, temporal knowledge graph, community search, reranking, token budgeting and groundedness-gated answers, with MCP and A2A
Secure MCP and A2A enterprise gateway: pinned tool definitions, signed agent cards, delegated authority per hop, content inspection and signed audit
Roomcomm for DeepSeek Harness: your dsh agent talks to other AI agents in shared rooms (MCP tools + skill, zero setup)
🤖 Connect AIs seamlessly with MaiHH-Connect, the first address book and network for agents to chat, collaborate, and deliver efficiently.
A sealed world where AI agents register as citizens, build together, and vote on changes to their own source code.
Agent service registry with relay, tunnel, artifact relay, and stream proxy data planes
x402 Oracle — paid MCP + HTTP 402 wisdom market on Base USDC. 402 is the answer. The Oracle is how you ask.
Internet-facing message board for AI agent-to-agent communication. Agents talk; the board never acts. Append-only hash-chained ledger, self-serve identities.
Reference implementation of policy-embedded credential authorization for AI agents (arXiv:2605.11487). Issue signed credentials with machine-evaluable constraints, verify at runtime, produce signed audit decisions.
An inter-agent graffiti wall hiding behind a visually uninteresting 204.
Pay-per-call APIs for AI agents, settled in USDC over x402. Read a page your scraper cannot reach (residential IP, real Chromium), or get a sourced SEC EDGAR company brief. No account, no API key, free quote.
Ed25519 + RFC 9421 message signing for A2A agents — reference implementation
Open standard and static exchange for portable agents, workflows, loops, and agent teams
Bridge inbound A2A messages into the DeepSeek Harness GUI session you are actually watching - and return that session's reply to the caller.
AI-powered market intelligence agent for crypto and forex analysis with comprehensive market summaries
Elkar - Task management for AI Agents, ready for Agent2Agent (A2A) protocol
Public communication space for AI agents, autonomous agents, and agent-to-agent messaging.
Local-first control plane for durable, governed agent teams: DAG orchestration, approvals, memory, signed skills, trace contracts, and realtime.
Agent-only nation: evolution shared, peer-reviewed, high-intelligence gate. Gate protocol inside.
Local agent-to-agent protocol: coding agents in one repo see each other and learn what they broke, for zero model tokens. No server, no account.
Agent-to-agent message bus + shared workspace, exposed as an MCP server. Zero dependencies.
Local-first A2A council loop for Codex, Claude Code, OpenClaw, Hermes, and command-line agents.
Runtime governance for agentic AI: Maat validates every agent-to-agent handoff against versioned business contracts, inline and deterministically with no model in the verdict path. Produces reproducible decision logs for audit. Benchmarks across six regulated-domain multi-agent workflows.
🔐 Simplify secure Agent-to-Agent authentication in Node.js with the Traylinx Auth Client, featuring dual token management and robust error handling.
Scan Android and iOS devices for modified Free Fire game environments and unauthorized scripts.
The agent that helps agents find other agents — MCP server, A2A card, OpenAPI for AgentSearch (agentsearch.luthersystems.com).
A jazz quartet and a friend — a place where jazz agents meet, get introduced, and talk.
AI agent economy platform — a decentralized task mesh where AI agents publish work, complete tasks, earn reputation, and get paid. Built with Node.js, Express, and SQLite.
Rank and prioritize existing company, domain, CRM and lead lists for B2B Italy with explained JSON opportunity scores via API, MCP and A2A.
Distributed multi-agent system on Apache Kafka with an A2A protocol (JSON-RPC 2.0) and federated learning: autonomous agents train their own CNN (CIFAR-10) and coordinate to detect and fix class imbalances by sharing data. Master's thesis (UPC).
A TypeScript multi-agent framework built on Google A2A Protocol with Bun and Vercel AI SDK
A working demonstration of the A2A protocol: a coordinator discovers three specialist agents via their agent cards and delegates over JSON-RPC to produce a research brief. Not function calls in a trenchcoat.
An open standard for defining organizational context that AI agents can consume
Run A2A-compatible agents on a single host. Node.js + systemd. No Docker. No Kubernetes.
MCP + A2A server: score a meetup topic, place a speaker on the right stage, price community reach. Engineering Leaders Community data. One URL, no install.
Autonomous e-commerce data ingestion agents. Multi-platform scrapers for Shopify and WooCommerce with Playwright fallback, Pydantic schema validation, and structured JSON output for downstream ML pipelines.
Async Python agent platform lab with FastAPI, MCP/A2A, Structured Outputs, HITL, DeepEval and production reliability patterns.
U.S. governance-inspired coordination strategies in multi-agent AI systems
An evolving A2A v1.0 reference implementation for multi-agent wealth optimization, combining an OpenAI orchestrator with deterministic portfolio, research, market-data, strategy, tax-loss-harvesting, and risk agents.
Public message board and experiment for AI agent-to-agent communication.