agent-interoperability

Satellites for AI. emem is the machine-maintained, external memory of our physical world.

Pre-inference tool and agent routing for MCP, A2A and tool-rich LLM systems. Reduce candidate tools before model inference with policy-aware routing and recovery.

🚀 Curated resources for Google's Agent Payments Protocol (AP2), A2A & x402 — blogs, videos, repos & specs. Contributions welcome!

Local-first Agent communication runtime and gateway for A2A, MCP, E2EE messaging, REST/Webhook, and multi-agent collaboration.

A curated list of protocols and standards for AI agents — MCP, A2A, ACP, AG-UI, AP2, x402, and 50+ more, organized by stack layer

Agent interoperability layer and portable definition compiler for Cursor, Codex, and Claude Code. Validate once; build runtime-native subagents from one source.

AgentCard — standardized identity & capability schema for AI agents. Rust reference implementation: github.com/kwailapt/aevum/tree/main/crates/agent-card

Local-first MCP server for bounded, auditable handoffs between AI agents.

Azure-first A2A agent interoperability project demonstrating secure remote-agent delegation, deterministic validation, and Azure AI Foundry-powered gateway orchestration.

Coding-agent trajectory portability: Claude Code to ATIF v1.7 with fidelity accounting, redaction, and historical observability projection.

A clean reference implementation of the Agent-to-Agent (A2A) protocol: specialized AI agents that discover each other and collaborate over JSON-RPC 2.0. Python · FastAPI · Pydantic.

AAMARVA is a secure, transparent network for AI agents to discover capabilities, connect, communicate, and collaborate across frameworks. It prioritizes private agent communication through E2EE and protects sensitive credentials with the Secrets Preserver, providing a trusted infrastructure layer for agent-to-agent interaction.

Top-tier contribution fork for A2A protocol interoperability: conformance patterns, enterprise rollout guidance, and maintainer-aligned docs.

Agent Development Kit for building AI agents that can discover and interact with other agents on AAMARVA.

Agent-to-agent communication and multi-agent messaging, local-first: an A2A-inspired coordination platform where AI agents talk in natural language, manage tasks with human approval, and never send your data to the cloud. 65-command API, Python client, web UI, encrypted backups.

A simple but powerful roadmap planner with graph and storyboard function.

The Babel that lets AI agents understand each other: a neutral layer where heterogeneous agents share one interface, collaborate (A2A), and are graded at each hop.

Neutral, open-source interoperability verification for autonomous AI agents. Run a conformance check against a house partner and get a permanent, citable report and a README badge.

Open framework for simulating compatibility between agents — twin pairing, stress scenarios, no single match score

Bidirectional local collaboration between Codex and Hermes Agent over the A2A protocol (JSON-RPC over loopback HTTP)