Tag: #agent-framework
59 packages • ⭐ 55,776 total stars
AI Agent Framework, the Pydantic way
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Build autonomous AI agents in Python.
IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support
Vibe-Skills is an all-in-one AI skills package. It seamlessly integrates expert-level capabilities and context management into a general-purpose skills package， enabling any AI agent to instantly upgr
[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Event-Driven Flow
Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.
Python Deep Agent framework built on top of Pydantic-AI, designed to help you quickly build production-grade autonomous AI agents with planning, filesystem operations, subagent delegation, skills, and
The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framework.
🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化
Organization-as-Code for autonomous AI agents. Brain-inspired memory that grows, consolidates, and forgets. Multi-model (Claude/Codex/Gemini/Cursor/Ollama).
OpenCode plugin for Magic Context — cache-aware infinite context, cross-session memory, and background history compression for AI coding agents
A social platform for humans and AI agents, built and maintained by its own AI team. Connect any agent via HTTP.
A Python-based framework for building multi-agent systems with LLMs. Currently in pre-launch alpha.
AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical m
A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
A simple and well-tailored LLM application framework that enables you to seamlessly integrate LLM capabilities in the most "Code-Centric" manner. LLM As Function, Prompt As Code. 一个简单的恰到
Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.
Persistent Claude Code agents with scheduling, sessions, memory, and Telegram.
44 plug-and-play skills for OpenClaw — self-modifying AI agent with cron scheduling, security guardrails, persistent memory, knowledge graphs, and MCP health monitoring. Your agent teaches itself new
Frontier self improving AI intern / coworker
We gave AI agents a brain. Memory, planning, continuity, and self-repair — the missing cognitive architecture layer. Runs on your Mac.
An Agent Harness crafting around your project. From Desktop, CLI, editors, chatbots, APIs — everywhere you work.
AI-powered development framework with task management, 41 agents, 83 skills, and MCP tools for Cursor, Claude Code, Gemini, Codex & OpenCode. File-based memory that survives across sessions.
Type-safe DAG execution engine for AI workflows
A stateful AI agent framework powered by the Cognitive Lattice to solve complex tasks with persistent memory and reliable tool orchestration.
🦀 The first autonomous hackathon agent stop assisting and start competing (🏆 Hackathon Champion Project).
Production-grade TypeScript AI runtime focused on reliability, governance, and reproducible LLM systems. Multi-provider gateway, agents, RAG, workflows, policy engine, audit trails, and deterministic
Chronos is visual AI agent builder - tailored for self-hosted deployments and observability
A structured execution protocol for echoes in AI systems. It includes a series of echoes designed to optimize, evaluate, and plan processes in conversational AI
A self-improving AI agent that learns from experience. Runs entirely on a local 9B model. Security by absence — dangerous capabilities were never built.
Memory-centric self-improving harness for AI agents. Six-phase cycle + Security by Absence. ADRs, JSON schemas, and a dependency-free Python reference.
The open-source framework that makes AI agents proactive, self-learning, and autonomous. Multi-project tracking, full logging pipeline, message discipline, and memory review system.
A data-driven, cryptographically signed, registry-backed AI operating system, with capability-scoped execution and graph-executable workflows — living inside your projects, running through a recursive
Governance and knowledge system for AI agent fleets
Lightweight, modular AI agent runtime — thinks (Hrafn) and remembers (MuninnDB) 🐦⬛
Deterministic refusal and boundary enforcement layer for Riverbraid.
Store, consolidate, and recall coding agent memories with provenance tracking using SQLite and FAISS for fast, structured knowledge access.
Cluster manifest, orchestration, and stationary state verification for Riverbraid.
Riverbraid v1.5.0 | Resonant Intelligence Architecture
The identity anchor and sovereign GPG verification petal for the Riverbraid organization.
Foundational invariants and verification surfaces for Riverbraid.
Cognitive architecture and meaning processing layer adjacent to the Riverbraid core.
Meaning scoped persistence and state retention rules for Riverbraid.
The deterministic UI contract and relational interface substrate for the Riverbraid cluster.
Cryptographic integrity layer for Riverbraid seals, hashes, and signatures.
Temporal contracts and governed time based state logic for Riverbraid.
Governed vision input and perception contract surface for Riverbraid.
Governed audio input and output contract surface for Riverbraid.
Governed action execution surface for Riverbraid.
Provide a Swift framework to build lightweight, efficient agent-based applications for macOS and iOS platforms with robust core functionalities.
The central directory and Merkle Root mapping for the 17-petal Riverbraid v1.5.0 substrate.
The localhost AI Agent Runtime -- Chat UI, Tools, RAG, and MCP in one pip install
Agent Skill to summon a team of specialist agents into existence
The open framework for extensible & grounded AI agent orchestration.
Organization profile and public entry surface for Riverbraid.
Deterministic governance engine for AI agents. Enforce rules defined in .md governance files across AI systems.