agents

A comprehensive resource designed to help developers effectively use AI tools to develop websites, apps, and other projects.

Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls.

One TypeScript interface for 24+ LLM providers — swap providers without rewriting. MCP-native (connect any MCP server), voice (TTS/STT/realtime), RAG, memory, file processors. Production-origin: powers Tara, Yama, and Clairvoyance at Juspay.

📓 A collection of generative AI open-source repositories that are actively being developed. If you are looking to build a solid profile and land interview, find the repo you like and start shipping.

Skills Constitution — meta-rule governing all skill invocations across agent platforms

A WhatsApp AI Agent powered by LangGraph, FastAPI, and Groq. Acts as an empathetic therapist, Dr. Sofia, handling text and voice messages with natural conversations. Supports multi-language, PostgreSQL-backed memory, and real-time synthesis.

Examples and tutorials for building AI applications with watsonx.ai Flows Engine

AgentSmithy provides a series of tools and templates that simplify the process of building and deploying custom AI agents on Google Cloud.

Multi-Agent,MCP,RAG,SpringAI1.0.0,RE-ACT

Own your AI memory — import ChatGPT, Claude and Gemini exports, see what each AI knows about you. Checkpoint/restore and cross-model continuity for agents.

Anaxa 是一个面向科研工作流的开源智能体系统。它不是单纯的聊天机器人，也不是无人监管的自动发论文机器，而是把文献检索、证据审计、实验执行、论文写作、同行评审式检查和最终产物打包放进同一个可追踪的研究生命周期中。

🚀 Building Go applications with LLMs through composability

HEWN 2.0 2026: AI Output Router for Precision Summaries & Polished Code

A python library for creating AI assistants with Vectara, using Agentic RAG

A diverse, simple, and secure all-in-one LLMOps platform

All the code and materials

AutoBrowse is an autonomous AI agent that can perform web browsing tasks.

Self-hosted app store and runtime for AI agents. Install third-party agents, run them on your infrastructure with your own model providers (Ollama, Bedrock, OpenAI, etc.). Container isolation, credential injection, default-deny egress.

Learn how to build Agentic Workflows on AWS

Open-source directory of agent-bot prompts for Grok Bot, Rakazo, and any agent — botdirectory.ai