#a2a

Governance Architecture for Trustless Execution ⚖️

A policy enforcement runtime for AI agents

The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.ai

Forge is the open-source runtime for Anthropic's Agent Skills standard — built for the agent that runs next to a service, in your environment, on infrastructure you already operate. Write a SKILL.md. Compile to a portable, hardened agent. Deploy it anywhere containers run: Kubernetes, on-prem, air-gapped, embedded in CI, or as an A2A endpoint.

A command-line tool to scaffold and manage enterprise-ready AI Agents powered by the A2A (Agent-to-Agent) protocol

A2A agent server for mocking and testing

The .NET library to build AI agents with 30+ built-in connectors.

Ruby's capable AI runtime

Active security scanner for A2A and MCP servers

An Agent Development Kit (ADK) allowing for seamless creation of A2A-compatible agents written in Go.

540 security tests for AI agent systems — MCP, A2A, x402/L402, decision governance, benchmark integrity, skill supply chain. AIUC-1 pre-cert, NIST AI 800-2 aligned, MCP tool-poisoning reproduction. v4.9.1

Elixir implementation of the Agent-to-Agent (A2A) protocol (https://a2a-protocol.org).

AI agents in Go — Temporal for durable, crash-resilient execution or run in-process with zero setup. OpenAI, Anthropic, Gemini, Deepseek, Ollama, tools, MCP, A2A, RAG, memory, conversations, AG-UI, streaming, sub-agents & human-in-the-loop.

A command-line tool to scaffold and manage enterprise-ready AI Agents powered by the A2A (Agent-to-Agent) protocol

Neutral control plane for coding-agent fleets: claims, roles, mailbox reliability, receipts, audit, federation, dead-letter visibility, sandbox receipts, and cross-agent coordination.

An Agent Development Kit (ADK) allowing for seamless creation of A2A-compatible agents written in Go.

Declarative YAML framework to define, run & orchestrate AI coding agents

The offensive security framework for AI agent infrastructure - recon, credential looting, model exfiltration, poisoning, and attack-path analysis across MCP, A2A, gateways, and AI services. BloodHound for the agentic stack.

A science agent supporting any general AI agent in performing data management operations at scale. Builds upon the heritage of the IOWarp platform and proudly represents work done at Gnosis Research Center at Illinois Tech. Supported by NSF.

Decentralized networking protocol for AI agents — sovereign identity, peer-to-peer capability discovery, and direct encrypted connections. Works as an MCP server.

A Go-native framework for LLM agents, with OpenTelemetry observability built in.

AGLedger™ SDK — Accountability and audit infrastructure for agentic systems. Patent Pending.