openagent
Open spec and CLI (MIT) for AI agent identity and agent-to-agent messaging. Runs with npx.
- Origin
- github
- Language
- JavaScript
Measured A2A repositories in the KoPass public catalogue.
Open spec and CLI (MIT) for AI agent identity and agent-to-agent messaging. Runs with npx.
Lightweight, modular AI agent runtime — thinks (Hrafn) and remembers (MuninnDB) 🐦⬛
Open standard and reference exchange for Agent Settlement (A2A-SE).
AI Agent Discovery Platform — Find any AI agent by capability. 24K+ agents indexed.
Payment infrastructure for AI agents. One line to send money between machines. USDC/ETH on Base L2.
The foundational MCP/A2A-native secure credential injection + x402 micropayment gateway for the agent economy. Building the open infrastructure layer that autonomous agents actually need.
The open AI2Web (ai2w) protocol: describe any website once so AI agents can discover, understand and act on it — projecting to MCP, ACP, AP2 and REST.
apcore-a2a acts as a thin, protocol-specific layer on top of `apcore-python`. It maps A2A concepts to apcore primitives
Open protocol for AI agents: verifiable identity, scoped delegation, and tamper-evident audit.
Let Claude Code, Codex & Gemini CLI agents talk to each other — a local MCP message bus for multi-agent collaboration, cross-model code review, and fewer hallucinations.
UCP/A2A/AP2/ACP/MCP-ready Rust middleware for agentic cart-to-checkout
Substrate Attestation Spec: a three-field shape for verifier-issued trust evidence in A2A agent ecosystems
Daemon-first local runtime for AI agents. Run Claude/Codex agents on your own machine, keep transcripts local, orchestrate multi-agent fan-out, and expose over the A2A Protocol to the Agents Hot open network or a self-hosted A2A endpoint.
AI-to-AI conversation network with a built-in task economy. Signature-only relay, open protocol, live multi-agent task lifecycle.
Build design patterns for autonomous AI agents with orchestration, memory, fallback, tools, and multi-agent coordination
A2A v1.0 federation gateway and state plane. Routes intent. Displays state. Never judges, never executes. DISPLAY_ONLY.
Certifying proxy for agent-to-agent transactions — SHA-256 proof chain, Ed25519 signatures, RFC 3161 timestamps, Sigstore Rekor
A2A multi-agent reference on Spring Boot. An orchestrator routes to single-purpose agents over Google's Agent-to-Agent (A2A) protocol, with pgvector long-term memory, Langfuse observability and automated LLM-as-a-Judge evaluation. Java 17, Spring Boot 3.
A flexible, modular framework for building intelligent, collaborative AI agents
Autonomous task marketplace where AI agents learn skills and earn XLM on Stellar. Instant verification, x402 micropayments. + MPP + M2M
Connect agent systems, inspect tool traces, replay failures, compare candidates, and export regression evidence.
An agent native chatroom designed for agents such as OpenClaw and Claude Code.
Multi-cloud AI agent interoperability sample. Google ADK and Strands Agents on Amazon Bedrock AgentCore Runtime, exposed via the A2A protocol, with tools served through Bedrock AgentCore Gateway and MCP. Consumed from a React frontend and Gemini Enterprise.
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.
Secure Digital Agent Protocol — HTTPS for AI agent communication. Cryptographic identity, mutual authentication, encrypted payloads, trust delegation, and audit trails for multi-provider agent ecosystems. Works with A2A, MCP, and any agent-to-agent protocol.
Self-improving AI assistant with persistent memory, procedural skills, and document knowledge
[Archived] Now part of the Golden Suite monorepo: github.com/benseverndev-oss/goldenmatch (packages/python/goldencheck). Active development, issues, and releases live there. Data validation that discovers rules from your data.
A terminal-native agentic coding harness built from scratch — streaming ReAct loop with reflection and planning, MCP/A2A protocols, cross-session semantic memory, subagent orchestration, YAML skills and agent roles, shell lifecycle hooks, and a Textual TUI.
Quantum-Secure AI Agent Communication Protocol is a secure agent-to-agent communication system that combines QUIC, TLS 1.3, ML-KEM (Kyber), AES encryption, session resumption, and AI-powered conversations to demonstrate post-quantum secure communication between autonomous AI agents.
A local message bus for AI agent sessions — pluggable triggers (pull) + MCP channel delivery (push). Core + adapters; ships a Claude Code module.
A marketplace where AI agents find work, build reputation, and get paid. Post jobs, agents bid, trust is earned not claimed. Live at thecafe.dev.
Vendor-neutral OpenTelemetry tracing for A2A agents and MCP services, with W3C context propagation and privacy-safe telemetry.
Let the AI agents on two machines talk to each other. No public IP, no port forwarding, no VPN — built on Paseo's E2EE relay. 有什么,和我的 agent 说去吧。
The Identity Authority and Trust Gateway for the AI Agent economy. Issues and verifies cryptographic TrustBadges to secure cross-cloud Agent-to-Agent (A2A) communication.
CapiscIO MCP Guard - Secure your MCP tools with agent-to-server authentication, authorization, and audit logging
One WeChat (iLink/ClawBot) entry, many local agents - a dependency-free Python gateway that fans a single personal-WeChat bot binding out to Claude Code, Hermes, WorkBuddy or anything speaking A2A / HTTP / CLI.
A collection of end-to-end examples showcasing what you can build with kagent
Open-source AI Agent Control Plane for runtime MCP security, policy enforcement, PII protection, tool governance, and audit logging. Runtime control plane for AI agents. Every LLM call, tool call, and A2A interaction — enforced, audited, and traced via proxy.
A curated list of social platforms where AI agents are first-class users.
ContextForge Gateway RS - Small, fast and fun dataplane for ContextForge gateway ...like Ford Focus RS
Multi-agent collaboration across platforms, preserving identity & permissions of the signed-in user.
Rails-native integration for exposing Rails applications as A2A agents.
Connect AI agents using semantic intent vectors for dynamic discovery, negotiation, and collaboration in decentralized multi-agent systems.
Identity registry and lifecycle management for fleets of AI agents. Zero-dependency TypeScript IAM: cryptographic agent identity (Ed25519), declared capabilities with fail-closed authorization, an enforced lifecycle (provision, activate, suspend, revoke, expire, archive), A2A Signed Agent Cards, and a hash-chained audit trail.
A multi-agent RAG system using Google's A2A (Agent-to-Agent) protocol.
Capability-based authorization and policy enforcement for agents using large MCP and A2A tool ecosystems.
Integrating the transformative concepts of Multi Agenting Systems with Private MCPs via GCP Agent Engine and the rise of Artificial Coding Intelligence (ACI) on the path to AGI, the Agentic Data Mesh framework fundamentally evolves from a robust data architecture into an intelligent, secure, and self-optimizing enterprise brain.
A curated list of projects, protocols, and platforms powering the AI agent economy
Session-aware mesh relay for Hermes fleet agents — Ed25519-signed agent-to-agent messaging with cache-first registry sync.
AgentsProtocol makes AI-generated knowledge verifiable. PoISV + GHOSTDAG + ZK proof abstraction. DOI: 10.5281/zenodo.19642292
Zero-trust execution control plane for AI agents. Enforce cryptographic grants, policy rules, and human-in-the-loop approvals—no more agent "God Mode."
Evidence-grounded daily portfolio reviews with readable narratives and inspectable risk boundaries.
AgentRelay connects messaging channels to A2A/ACP-compatible agents through a clean, plugin-based gateway.
HTTPS broker designed to let autonomous AI agents collaborate natively across different machines using standard terminal streams
Cryptographic verification for AI agent actions — ECDSA-secp256k1 + RFC 6979 signed Action Receipts (v0.1), multi-dimensional Trust Vector, capability tokens (JWT-shaped + Biscuit-style attenuation), UETA §10(b) undo. 29 MCP tools. A2A v1.0 + ERC-8004 format compatible. Receipt-batch Merkle roots anchored on Base mainnet. Starting with code.