Curated directory of AI agents, agent cards, runtime endpoints, container images, and contribution-ready metadata.
-
Updated
Jun 7, 2026 - JavaScript
Curated directory of AI agents, agent cards, runtime endpoints, container images, and contribution-ready metadata.
Self-hostable runtime for persistent autonomous coding agents — KVM-isolated VMs (or rootless containers), A2A-protocol executor with signed AgentCard discovery, AIWG mission dispatch, web dashboard, virtiofs shared storage. Runs on your hardware; no hosted control plane.
OpenClaw Skill for agent discovery, Agent Cards, ITINAI publishing, and A2A delegation
Personal site + AI-readable profile of Vassiliy Lakhonin. I build evidence-discipline tooling for strategic-risk AI agents (Agenda Intelligence: open-source skills + deployed A2A workers with live demos), grounded in compliance and cross-border delivery. Reference implementation of an agent-discoverable profile (pages + JSON + MCP).
apcore-a2a acts as a thin, protocol-specific layer on top of `apcore-python`. It maps A2A concepts to apcore primitives
Example A2A agent implementations with security best practices and input validation
Official CapiscIO GitHub Action to validate A2A (Agent-to-Agent) Agent Cards. Features schema validation, cryptographic verification, and live endpoint testing with 3D quality scoring.
Making agentic AI transparent, auditable and controllable — one card at a time.
Know Your Agent — An open standard for AI agent identity, compliance, and auditability
End-to-end validator for A2A Protocol Agent Cards — fetches well-known endpoints, validates structure, and classifies 12 capability categories.
Publish your AI agent once. Any other agent can discover it, request access, and connect, without you lifting a finger.
Audit your A2A agent card across L1-L4 trust dimensions on every PR. GitHub Action wrapping @agentlair/a2a-trust-audit.
VS Code developer tool for MCP health monitoring, Debug Recorder session history, and A2A agent exploration.
Aggregate Kinetic Gain disclosure JSON documents (Agent Cards, Tool Cards, AEO docs, Incident Cards, ...) into a /.well-known/index.json with integrity findings (duplicate ids, missing versions, broken cross-references).
When AI agents browse a site that doesn't publish machine-readable metadata or APIs, they fall back to scraping HTML, guessing endpoints, and retrying. That burns 5-100x more tokens per session and silently inflates the cost of every agent interaction. BotVisibility runs 55 automated checks across 5 levels.
Make your SaaS product discoverable by AI agents. Templates for llms.txt, A2A agent-card.json, AGENTS.md, robots.txt, and JSON-LD structured data.
Convert a Kinetic Gain Agent Card into runtime-specific agent configs — OpenAI Assistants, Anthropic system-prompt bundle, Vercel AI SDK, and a markdown briefing.
Bidirectional protocol-metadata translator between Google A2A (Agent-to-Agent) and the Model Context Protocol (MCP). MCP server.json + tools/list ↔ A2A AgentCard. Pure transform; closes the lane #4 gap.
Add a description, image, and links to the agent-card topic page so that developers can more easily learn about it.
To associate your repository with the agent-card topic, visit your repo's landing page and select "manage topics."