a2a-opt
A2A Objective-Plan-Task Extension - Hierarchical task management for AI agents
- Source
- GitHub
- Language
- TypeScript
- Last activity
- Sep 14, 2026
Stars1Measured · Oct 20, 2026
Momentum07 days · Measured · 0% relative change
Measured catalogue entries in Agents, skills and MCP · Agent.
A2A Objective-Plan-Task Extension - Hierarchical task management for AI agents
Stars1Measured · Oct 20, 2026
Momentum07 days · Measured · 0% relative change
Multi-Agent Kubernetes Cost Optimization System
Stars1Measured · Oct 20, 2026
Momentum07 days · Measured · 0% relative change
🔧 Autonomous fleet maintenance agent — A2A-native, FLUX-powered, git-first
Stars1Measured · Oct 20, 2026
Momentum07 days · Measured · 0% relative change
A public AI-agent world whose map grows only from corroborated evidence: residents research with read-only tools, findings are judged across independent sources, rooms are built from agreement and retracted by dispute. Runs on a laptop and free-tier models.
Stars1Measured · Oct 20, 2026
Momentum07 days · Measured · 0% relative change
Two agents on two machines talking through a Telegram group: task, ACK, result, chase. No ports, no VPN, no server. Telegram bots cannot see each other, so this uses user sessions - the reason nobody else has built this. stdlib, MIT.
Stars1Measured · Oct 20, 2026
Momentum07 days · Measured · 0% relative change
18-module cross-agent communication framework: A2A, WebSocket, MCP, shared memory, trust, consensus, handoff, graph evolution, vault sync.
Stars1Measured · Oct 20, 2026
Momentum07 days · Measured · 0% relative change
🤖 Enterprise-grade AI agent framework with Tools4AI integration, web automation, and MCP protocol support. Features intelligent screenshot capture, meme generation, LinkedIn search, and real-time AI interactions. Built with Spring Boot, PostgreSQL, Redis, and Playwright automation. Perfect demonstration of modern Java/AI integration patterns
Stars1Measured · Oct 20, 2026
Momentum07 days · Measured · 0% relative change
基于 MCP + A2A + LangGraph 的企业级多智能体协同平台,完全手写代码实现。 Supervisor 负责意图识别与任务分解,通过 A2A 协议把子任务分发给专业子 Agent; 所有外部工具经 MCP 协议统一封装;LangGraph 负责编排(条件分支 / 循环重试 / Map-Reduce / Checkpointer / Human-in-the-Loop);LangSmith 提供全链路可观测性; FastAPI 提供 REST 同步接口与 WebSocket 流式接口。
Stars1Measured · Oct 20, 2026
Momentum07 days · Measured · 0% relative change
A2A SSH Skill — Agent2Agent delegation over SSH. No HTTP server. No Agent Cards. Just SSH. Works with Claude Code, Codex, and any CLI AI.
Stars1Measured · Oct 20, 2026
Momentum07 days · Measured · 0% relative change
Open, developer-first agent-to-agent protocol. Secure Agent Messaging, Verification And Discovery.
Stars1Measured · Oct 20, 2026
Momentum07 days · Measured · 0% relative change