智能体市场

👾 下一代透明智能体架构 | Next-Gen Transparent Agent Architecture 🔍 全行为审计 | 🛡️ 两段式安全调用 | 🧠 双水位记忆 | ⏰ 心跳任务 📊 P0 级事故率降低 80% | 兼容 OpenClaw + Claude Code 技能生态

A Text-Based Environment for Interactive Debugging

The specification for the Universal Tool Calling Protocol

📱 Terminal in Your Pocket — Control Claude Code, Codex, Gemini CLI & your Mac/Linux/Windows from any phone or browser. Vibe coding from anywhere. Alternative to MobileCLI, Claude Remote, vibe-remote, MuxAgent.

A multi-player tournament benchmark that tests LLMs in social reasoning, strategy, and deception. Players engage in public and private conversations, form alliances, and vote to eliminate each other

Design notes, architecture, and trade-offs for MyInvestPilot — an AI-native investment OS built with agent-driven development, DSL engine, and solo company tech stack.

Agent Framework Samples - showcasing ways in which agent framework can be utilized.

Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving

Mantis Hack

Deep Reinforcement Learning in C#

✨✨Latest Advances on Neuro-Symbolic Learning in the era of Large Language Models

Give you decision-ready references for the most common AI engineering problems

Multi-Agent Collaboration Platform✨

The spec-driven environment for AI coding agents, where your planning becomes lasting, shared project context.

165 evidence-based education skills for Claude, Codex, Hermes and any Agent Skills-compatible tool.

Enterprise AI Capability Platform for Java/Spring Boot. Register business APIs as governed AI capabilities, compose Agents with GraphSpec, Runtime, MCP/A2A/Gateway, RunOps and Trace. 企业智能体开发框架-把 Java 企业系统中的接口、领域方法、知识、模型和流程，沉淀为可治理、可编排、可开放的 AI 能力资产。

Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)

This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.

Agentica: Lightweight async-first Python framework for AI agents. 轻量级异步优先的AI Agent框架，支持工具调用、RAG、多智能体和MCP。

A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: agent runtime cost controls, emerging agent runtimes, and production AI workflow patterns.

Integrating AI into every workflow with our open-source, no-code platform, powered by the actor model for dynamic, graph-based solutions.

A completely private, locally-operated Ai Assistant/Chatbot/Sub-Agent Framework with realistic Long Term Memory and thought formation using Open Source LLMs. Qdrant is used for the Vector DB.

Curated collection of AI agents built with Google’s Agent Development Kit (ADK): templates, best practices, and production-ready examples for research, business, automation, education, and more.

A Raycast extension for creating powerful, contextually-aware AI commands using placeholders, action scripts, selected files, and more.