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.
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.
Coding-agent trajectory portability: Claude Code to ATIF v1.7 with fidelity accounting, redaction, and historical observability projection.
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.
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.
Move useful working context from Agent A to Agent B — local-first context handoff for AI agents.
Experimental trust and governance ideas for autonomous AI agents — captcha, permit, mesh, eval, memory.
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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