Repository A2A misurati nel catalogo pubblico KoPass.
This project builds an intelligent financial analysis agent that combines real-time market data and web search to generate structured, data-driven insights. It presents financial information in clear tables and concise summaries through an interactive playground interface.
AI Financial Coach Agent is a personalized financial advisor that analyzes user income, expenses, debts, and goals to provide actionable recommendations for budgeting, savings, and debt reduction. Using a multi-agent system
Investment analysis agent that fetches market data, financial statements, sentiment indicators, and technical analysis to generate comprehensive investment reports
The AI Meme Generator Agent is a powerful browser automation tool that creates memes using AI agents. This app combines multi-LLM capabilities with automated browser interactions to generate memes based on text prompts through direct website manipulation.
The news-agents project represents a sophisticated implementation of terminal-based multi-agent coordination for news aggregation
A Bindu AI agent for comprehensive share investment analysis
AI System Architect Advisor is an AI-powered system design assistant that transforms natural language project requirements into structured architecture recommendations, infrastructure planning, security strategies, and compliance considerations.
A hands-on tutorial implementation of Google's Agent2Agent (A2A) protocol. Three multi-agent travel planners Flight, Hotel, and Itinerary collaborate via Agent Cards, SSE streaming, and artifact passing. Includes LangGraph and CrewAI integrations.
Companion source code for Building AI Agents with .NET — Part 2
A local A2A event and continuity service for agent applications, with structured history, provenance-safe transcripts, literal search, and natural-language queries.
Multi-agent AI system with Google ADK + A2A protocol: Researcher → Judge → Content Builder pipeline on Cloud Run. Reference implementation with full docs for LLMs and developers.
MCP-based agentic AI system enabling LLMs to fetch and reason over real-time global weather data using standardized tool invocation. Built with MCP Server/Client, Llama 3, and external APIs to deliver low-latency, hallucination-free weather intelligence through protocol-driven workflows.
An evaluation arena for AI agents whose referee runs no model: deterministic adversarial scenarios, hash-committed replays, SARIF reports.
Production-ready A2A (Agent-to-Agent) protocol implementation for building multi-agent AI systems
an open protocol for personal agent-to-agent communication: two AI agents, each acting for one human, exchange end-to-end-encrypted messages.
AEL v0.13 public agent-native blockchain devnet: useful work, portable memory, resilient replicas, and deterministic mainnet readiness
FastAPI endpoints protected by x402 micropayment rail on Base/Solana
A private line between your agent and your friend's agent. Direct agent-to-agent messaging over your own tunnel — no Slack, no shared channel, no context loss.
An A2A agent rooted in the Five Mindfulness Trainings — offering teachings, reflections, and mindful guidance to humans and AI agents alike.
A clean reference implementation of the Agent-to-Agent (A2A) protocol: specialized AI agents that discover each other and collaborate over JSON-RPC 2.0. Python · FastAPI · Pydantic.
Agent-to-agent paid data marketplace MCP server: two-person (dyadic) 4D motion capture in a shared coordinate frame, rehab biomechanics, threat intelligence, and commercial-carrier truck-sighting intelligence (RTK Spotter). 21 tools. Gasless USDC via x402.
Handbook técnico aberto sobre engenharia de IA em produção: ML tradicional, LLMs, RAG, agentes, segurança, observabilidade, FinOps e deployment.
Agent hiring marketplace via MCP. Post tasks, bids, escrow, disputes.
Agent messaging protocol via MCP. Send, reply, proposals.
Agent identity and reputation for A2A. Passport, skills, ratings.
Cryptographic proof of agent work via MCP. Receipts, verification.
Multi-agent team formation via MCP. Roles, tasks, dependencies.
Agent wallet and budget management via MCP. Transfers, invoices.
Two Claude agents collaborating locally over A2A and MCP, with Claude on Vertex AI. A runnable reference + MCP skill for Claude Code, Codex, and opencode.
The trust and reputation layer for AI agents. Protocols like MCP and A2A tell you how agents connect. AgentRank tells you whether you should connect.
📡 Communication infrastructure for AI agents — Chat rooms, P2P messaging, task coordination. Built for machines, observable by humans.
3-agent A2A autonomous ICU triage system — SOFA/NEWS2 scoring, MCP tools, Groq/Llama 3 inference, Streamlit dashboard
Run many AIs on one board and keep control of all of it. Deterministic code decides who acts — never a model. A privacy floor keeps sensitive work on your machine, your own tests decide what counts as done, and every action lands on a hash-chained record you can replay. Free, macOS today; cross-platform and teams next.
A multi-gent system that provides comprehensive financial and corporate intelligence for publicly traded companies.
Open tasks for AI agents (attackers, economists, engineers): testnet trust-based microcredit built to reduce human poverty. Bots welcome in every role.
Give your AI agents the power to discover, coordinate, and collaborate safely. Open-core collaboration layer for AI agents.
Self-hosted coding agent — 9 chat transports, 5 LLM providers, MCP + A2A protocols, SLSA-3 provenance, cosign-signed. Open-core, zero telemetry.
Make AI agents follow instructions reliably and prove what they did. State machine engine with evidence chains, multi-agent delegation, human gates, and auditable execution — via MCP or CLI.
GraphRAG research assistant over the arXiv citation graph - LangGraph orchestration, A2A microservices, MCP tools, Neo4j
Production-grade specification for secure agent-to-agent payment infrastructure — authorization, settlement, escrow, dispute resolution, chargebacks, compliance, and reconciliation between autonomous AI agents. Architecture reference only. Implementation is proprietary. All endpoints route through the internal Pulse API.
Two-peer A2A JSON-RPC recovery lab with deterministic agents, loopback HTTP faults and an optional official SDK oracle.
Zero-trust autonomous cloud-ops swarm on Google Cloud. Gemini agents diagnose live incidents, judge their own remediation plans, and execute real Cloud Run changes behind a single-use cryptographic human gate, then verify the change actually took effect.
TypeScript SDK for the A2A (Agent2Agent) Schema Contract extension: discover agent contracts, validate JSON/text inputs and outputs, and resolve external schemas over HTTPS. Python support planned.
A swarm of labelled AI agents and humans in flowing conversation: orchestrator, agora/1 protocol, MCP server
Turn any MCP server into a curated, composable, A2A-ready agent.
Tollex: economic control plane for autonomous software, with a native x402 facilitator live on Robinhood Chain mainnet. Public documentation and independent verification.
Extend Active Directory to manage AI agent identities with Kerberos authentication, sandboxing, and controlled access like users and services.
A2A protocol integration leveraging dynamic Semantic Kernel functions and an Agent Card Repository for adaptive workflows.
A systems-level evaluation framework for comparing how different agent communication protocols behave under real-world constraints: latency, failures, coordination overhead, and observability.
Python SDK for building A2A-compatible agents that run as CLI, HTTP server, or AskSachi chat agent — from a single runtime function.
Slice community alpha client pack — zero-key Wasm compute barter for agents. By bagcollective.io
Hermes Agent 接入华为小艺（Xiaoyi / OpenClaw A2A）平台的适配器。支持 WebSocket + HMAC-SHA256 认证、流式响应、主备服务器故障转移。MIT 开源。
ChatGPT Custom GPT with live, read-only DeFi data from SperaxOS: yields, lending rates, wallets, swap quotes, token risk and ~350 tools via GPT Actions.
Multi-agent AI travel planner using Google ADK, A2A protocol, and MCP — agent orchestration for flights, hotels, attractions, and weather.