Agents
2,269Autonomous AI agents that perform tasks independently
The missing protocol between user requests and AI actions. Standardized intent parsing for every AI system. Converts any input into [Motive] [Scope] [Priority].
A library to accelerate REST agent app development on top of Express, enabling users to focus on Langgraph agent development.
High-performance FastAPI-based agentic RAG system with Ollama LLM integration and comprehensive tool calling capabilities - v1.0.3.21 Production Ready
Continuous fine-tuning layer that converts AI agent logs into LoRA adapters.
Companion repo for Vibe to Live: Building and Deploying Production Agentic Apps
Court of Agents is a fully autonomous, live-streamed courtroom simulation. AI agents with distinct skills, tools, and personas reenact the entire legal process, from case creation to verdict, using real-time avatars and procedural roleplay.
Security-first AI agent orchestration system. Built-in agents with predefined capabilities, strict guardrails on what they can and cannot do, and a four-layer defense system that enforces security at every stage of the message lifecycle.
An advanced, multi-backend AI Agent Chat application built with React, FastAPI, and LangChain. Features a rich toolset including web search, code execution, and long-term memory.
Magentic-one AGENTIC workflow system for InsurTech @Insur.Cap
Structured agent-to-agent and agent-to-human communication — channels, pub/sub, message routing, and presence. One .acomm file. Rust core + MCP server.
A GitHub Action to run Rovo Dev (Atlassian's developer AI agent) in your CI/CD workflows.
🧠 Discover and evaluate advanced benchmark datasets for Large Language Model agents to enhance performance assessment in real-world tasks.
基于大模型 (LLM) ，智能体(Agent)与 RAG 技术的智能口岸物流助手。通过 Agent 自动调度查询工具与检索法规知识库，为港口用户提供通关异常诊断与决策支持。
VelvetFlow 是一个可复用的 LLM 驱动工作流规划与执行演示项目。项目包含混合检索、两阶段 LLM 规划（结构 + 补参）、静态校验与自修复、参数绑定 DSL、可模拟执行器与 DAG 可视化，帮助从自然语言需求自动构建并运行业务流程。
An offline-first, LLM-optimized collection of the entire Stripe API documentation. Every endpoint, every object, and every guide — organized and ready for your next project.
Persistent visual memory for AI agents — capture screenshots, embed with CLIP ViT-B/32, compare, recall. MCP server + Rust core library.
A Configurable Agentic Platform (With Hugging Face Transformers And Langchain) To Draft Semantically Tablassert TableConfigs From Natural Language Inputs.