Production-ready platform for agentic workflow development.
Build AI Agents, Visually
11 Lessons to Get Started Building AI Agents
This repository contains the Hugging Face Agents Course.
Fully Local Manus AI. No APIs, No $200 monthly bills. Enjoy an autonomous agent that thinks, browses the web, and code for the sole cost of electricity. 🔔 Official updates only via twitter @Martin993886460. Any other account is fake.
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
Unit, API & Integration Testing Agent for Developers. Generate tests, mocks/stubs for your APIs that actually work!
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Super-fast/easy runtime validators and serializers via transformation
Cursor Talk To Figma MCP
Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai
A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp.
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
Optimizing inference proxy for LLMs
II-Agent: a new open-source framework to build and deploy intelligent agents
Open-source Visual programming for backend logic that integrates with existing codebases. Flyde bridges the gap between technical and non-technical team members. Product managers, designers, and backend developers can collaborate on the same visual flows.
Maximize the potential of Cursor best practices for Automatic Rule and Custom Agent Generation and Agile Workflows
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