a2a-ruby
Ruby SDK for Google's Agent2Agent (A2A) Protocol - enabling seamless agent-to-agent communication via JSON-RPC 2.0, gRPC, and HTTP+JSON transports
- Origin
- github
- Language
- Ruby
Measured A2A repositories in the KoPass public catalogue.
Ruby SDK for Google's Agent2Agent (A2A) Protocol - enabling seamless agent-to-agent communication via JSON-RPC 2.0, gRPC, and HTTP+JSON transports
A complete TypeScript implementation of the Python x402 payment protocol extension for A2A (Agent-to-Agent) communication. Enable your AI agents to request, verify, and settle crypto payments seamlessly.
Checks for jobs continuously (24×7) on a schedule you control Parses job descriptions, extracts skills & keywords, and scores matches to your preferences Sends notifications (Email + Telegram bot supported in MVP) Generates tailored, job‑specific CVs (Markdown → optional PDF via Pandoc)
Let two developers' Claude agents talk directly through an ephemeral, end-to-end-encrypted tunnel — an MCP server.
A Kubernetes control plane for fleets of conformant AI agents. agentctl provisions, configures (intelligence, tools, instructions), scales, observes, secures, and exposes agents — declaratively, through Custom Resources.
🤖 NemoClawd — NVIDIA NeMo Agent Toolkit + ClawdBot in one bridge-first AI workspace. TypeScript orchestrates NeMo Python workflows. Enterprise AI Digital Project Manager.
OpenClaw Skill for agent discovery, Agent Cards, ITINAI publishing, and A2A delegation
A2A PHP SDK - PHP implementation of the AI A2A (Agent-to-Agent) Protocol (v0.2.5-0.3.0)
SMTP for AI agents. The open communication protocol for agent-to-agent communication. 🌊
AETHER — an open protocol for AI agents to discover, negotiate, and pay each other. Ed25519-signed, JSON-native, zero-dependency.
Runtime security middleware for A2A (Agent-to-Agent) protocol agents. Provides always-on validation, signature verification, and rate limiting for AI agent interactions.
Quickly build real-time AI voice conversation apps with TRTC. Supports multi-agent selection, LLM integration, and TTS/STT services.
Prior art for AI agents. Public signed claim index of failures other agents have already paid to solve.
Verifiable agent identity for A2A and MCP. Cryptographic claims, append-only transparency log, recovery-key revocation. Apache 2.0.
Step by step reference implementation for setting up data agents and integrating agent with Copilot Studio
Council of AI — independent AI-behaviour measurement via GSPC. 305-leaf Merkle root, Bitcoin-anchored, Ed25519-signed. Open source.
🔌 Exposes iso 27001 tools over MCP (MEOK AI Labs); see the README for the tool list.
A sample project to demonstrate how a langgraph ReAct agent can be wrapped with the A2A protocol
Azure AI integration of customer users with C# applications and enterprise data, using OAuth 2.0 token intelligence
Enterprise Agentic AI: Architecting Autonomous Java Systems for Production — Hands-On Workshop
Rust multi-protocol agent-ingress gateway (MCP, A2A, REST, and chat-channel adapters) for the Hetzner agent substrate.
Curate and explore open-source tools to safely run AI agents using sandboxes, containers, virtual machines, and policy-based protections.
[PL] Mikroserwisy 6 lat później czyli... jak nie utonąć 😉
이 샘플은 에이전트 개발 키트(ADK)를 사용하여 A2A 서버로 호스팅되는 간단한 "weather_time_agent" 에이전트를 만듭니다.
Expose a DeepSeek Harness agent over the Agent2Agent (A2A) protocol: agent card, JSON-RPC, LLM replies.
Self-hostable managed agents harness. Author YAML manifests; Felix compiles them into governed agents with durable fibers, memory, skills, eval, approvals, and sandboxes — over OpenAI, A2A, MCP, and SSE. Fork, rewind, and steer runs. Docker, Helm, AWS, or GCP.
Local workspaces for independent agent sessions: useful peer messages, opt-in Pi wakeups, and portable checkpoints.
Bizy is the first rules and logic layer that machines, engineers and business stakeholders can directly configure and understand.
GoPlausible delivers Identifiable and verifiable AI and Agentic Tooling / Infrastructure powered by Algorand, OAuth, OIDC, WebAuthn and W3C DIDs and Verifiable Credentials
AI Provider Templates & Docs for Handshake58 — Bittensor Subnet 58 powered by DRAIN Protocol
YOAP - Open Agent-to-Agent Protocol for connecting people through AI Agents. Like open-source matchmaking.
Your AI confers, with anyone's — an open A2A protocol platform where AI Agents talk to each other on behalf of their owners. Self-hosted, DID:web identity, RFC 9421 signatures, Claude Code plugin.
Orchestrate a team of AI coding agents on your desktop — a router-leader delegates to workers over a local MCP tunnel (A2A), with git-worktree isolation and merge-back, in a Tauri v2 IDE surface.
A2A agent server specialized in generating and automating n8n workflows
Standalone Rust SDK for the A2A (Agent-to-Agent) protocol. Used by JamJet's delegation layer.
Multi-agent fleet fabric on top of Hermes — A2A protocol + NATS event bus + Temporal durable workflows + Tier 2 VPS spawning. Run a fleet of specialist agents from one Telegram bot.
AI Orchestration Governance Infrastructure (AOGI) is a sandbox designed for agentic workflows. Automated GDPR/compliance auditing via Rego policies, secure cryptographic handshakes for multi-agent orchestration, and red teaming labs.
Semantic Kernel A2A protocol and A2A Discovery Service Example
The deliberation & governance layer for autonomous organizations. Built like an institution: verifiable audit log, Sybil-resistant reputation, delegated identity, and metered access over MPP + x402/ATXP.
Transcribe audio into text. Agentic AI supported through MCP Server.
Manage your git repositories. Now supports Agentic AI MCP Server Integration!
System-Manager will update your system and install/upgrade applications. Supports Agentic AI through MCP Server
About Pure java implementation of Google A2A protocol. This project demonstrates how to build an A2A-compliant multi-agent system using Spring Boot, Ollama, and the Agent-to-Agent (A2A) protocol. The architecture is based on a Parent Agent that orchestrates multiple Child Agents (e.g., Order Agent, Seller Agent).
AgoraHub: an agent-to-agent coordination hub. Named channels, per-channel shared state, an attention/obligation model, a verifiable transcript, message-driven triggering, and a git-friendly markdown mirror. Framework-agnostic (MCP + CLI + Python).
First email CLI tools for agents to facilitate inter-agents communtions and collaboration
Shared memory for AI agents. One agent struggles, every agent remembers: agents publish hard-won fixes as trails and follow each other's.
AI-powered multi-agent system for creative content generation and studio workflow automation