agents

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

The SDK For Browser Agents

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

YC (S26) | Open Computer History | Record your screen continuously locally and provide context to your agents (Claude, Codex, Openclaw, Hermes, Runner...)

Hindsight: Agent Memory That Learns

📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics

open-source agentic AI data assistant for the next generation of AI + Data products.

Effortlessly compose, extend, and observe every service in real-time for the first time ever.

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

Your API ⇒ Paid MCP. Instantly.

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform

Open-source AI coworker, with memory

🔥 The open-source no-code platform for web scraping, crawling, search and AI data extraction • Turn websites into structured APIs in minutes 🔥

AI PDF chatbot agent built with LangChain & LangGraph

MCP Toolbox for Databases is an open source MCP server for databases.

Automation engine to build, test and ship any codebase. Runs locally, in CI, or directly in the cloud