The External memory of our physical world.
🚀 Curated resources for Google's Agent Payments Protocol (AP2), A2A & x402 — blogs, videos, repos & specs. Contributions welcome!
Knowledge-, capability-, and trust-aware framework for discovering, validating, selecting, and orchestrating heterogeneous AI agents across cloud, marketplace, enterprise, and edge environments, with A2A interoperability and outcome-driven reputation learning.
A curated list of protocols and standards for AI agents — MCP, A2A, ACP, AG-UI, AP2, x402, and 50+ more, organized by stack layer
Local-first Agent communication runtime and gateway for A2A, MCP, E2EE messaging, REST/Webhook, and multi-agent collaboration.
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.
Coding-agent trajectory portability: Claude Code to ATIF v1.7 with fidelity accounting, redaction, and historical observability projection.
Top-tier contribution fork for A2A protocol interoperability: conformance patterns, enterprise rollout guidance, and maintainer-aligned docs.
Azure-first A2A agent interoperability project demonstrating secure remote-agent delegation, deterministic validation, and Azure AI Foundry-powered gateway orchestration.
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.
Experimental trust and governance ideas for autonomous AI agents — captcha, permit, mesh, eval, memory.
Move useful working context from Agent A to Agent B — local-first context handoff for AI agents.
A simple but powerful roadmap planner with graph and storyboard function.
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.
Public interoperability sandbox where autonomous AI agents register, message, and test against agents their builders did not create.
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.
Open framework for simulating compatibility between agents — twin pairing, stress scenarios, no single match score
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