#a2a

AI-native TypeScript bot framework — one codebase for 20+ chat platforms (QQ, Discord, Telegram, Slack, WeChat…). Opt-in AI agent with MCP, tools & security policies. <10MB core.

Mock everything your AI app talks to — LLM APIs, MCP, A2A, AG-UI, vector DBs, search. One package, one port, zero dependencies.

A policy enforcement runtime for AI agents

A Git-first CLI coding agent that turns ideas, issues, and tasks into real code changes. It can run remotely from your mobile phone or automate your computer.

Portable AI agent runtime for the JVM. One @Agent class runs on Spring AI, LangChain4j, Anthropic, or 9 more behind one SPI. Token streaming, tool calls, human approvals, and governance over WebSocket, SSE, gRPC, or WebTransport/HTTP3. Speaks MCP, A2A, and AG-UI.

A python library to interact with adcp servers

Pilot Protocol: The Internet of Agents

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.

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.

The Proxmox MCP you can hand the keys. All four products: PVE, PBS, PMG, PDM.

Public adapters and discovery catalog for Triptych OS (Agent OS): agent frameworks, MCP/A2A/x402 protocols, workflows, wallets, SDKs, and examples for execute-first routing, governed handoffs, and receipt-aware agent commerce.

An orchestration DSL and embedded runtime for hosting agentic systems. Durable, inspectable workflows with deterministic step ordering, running in-process under a capability jail — the model lives in your host, not in the runtime. 30+ companion packages for memory, transport and governance.

The deal-making layer for the agentic internet. An open standard for structured negotiation between autonomous agents.

Ruby's capable AI runtime

The harness interoperability layer for coding agent. Agent to Agent connect over ACP, A2A and UHP

Neutral control plane for coding-agent fleets: claims, roles, mailbox reliability, receipts, audit, federation, dead-letter visibility, sandbox receipts, and cross-agent coordination. This is still pre-1.0.0 - Software works however you might need help from your local agents to set it up.

Active security scanner for A2A and MCP servers

AI governance infrastructure for agentic systems. Rust library behind systemprompt.io — MCP, A2A, OAuth2, audit trails, compile-time extensions. Evaluate with systemprompt-template.

Type-safe, async Rust SDK for the Agent2Agent (A2A) protocol, built to the final v1.0.0 spec — JSON-RPC, REST, WebSocket & gRPC for building interoperable AI agents

The transparent, composable harness for TypeScript agents. The same code runs the full agent loop on a local 4B model or a frontier API, with tool-call healing, verification, and a signed evidence receipt for every run.

Portable trust receipts for agent workflows. Signed, chained, verifiable.