An in-depth book and reference on building agentic systems like Claude Code.
A deep-dive guide into architecture patterns for building responsive, reliable AI coding agents.
There's been a lot of asking about how Claude Code works under the hood. Usually, people see the prompts, but they don't see how it all comes together. This is that book. All of the systems, tools, and commands that go into building one of these.
A practical deep dive and code review into how to build a self-driving coding agent, execution engine, tools and commands. Rather than the prompts and AI engineering, this is the systems and design decisions that go into making agents that are real-time, self-corrective, and useful for productive work.
The Platform for Building Stateful Agents.
Build agents with infinite context and human-like memory, that can learn from data and improve with experience.
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
Letta is an open source framework for building stateful LLM applications. You can use Letta to build stateful agents with advanced reasoning capabilities and transparent long-term memory. The Letta framework is white box and model-agnostic.
Finding the Scaling Laws of Agents. The first and the best multi-agent framework.
CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.
The framework enables multi-agent systems to continuously evolve by generating data and interacting with environments. This evolution can be driven by reinforcement learning with verifiable rewards or supervised learning.
Go beyond nascent AI demos. The intelligent AI-native gateway for prompts and agentic apps.
Effortlessly build AI apps that can answer questions and help users get things done. Arch is the AI-native proxy that handles the pesky heavy-lifting so that you can move faster in building agentic apps, prevent harmful outcomes, and rapidly incorporate latest models.
AI-native (edge and LLM) proxy for agents. Move faster by letting Arch handle the pesky heavy lifting in building agentic apps -- query understanding and routing, seamless integration of prompts with tools, and unified access and observability of LLMs. Built by the contributors of Envoy proxy.
The agents.json Specification is an open specification that formally describes contracts for API and agent interactions, built on top of the OpenAPI standard.
The TypeScript framework for agents & workflows with react-like components. Lightning fast dev loop. Easy to learn. Easy to extend.
Build complex AI applications with React-like components.
GenSX is a simple typescript framework for building agents and workflows with reusable React-like components.
GenSX takes a lot of inspiration from React, but the programming model is very different - it’s a Node.js framework designed for data flow.
OpenAI just published Deep Research, a very nice assistant that can perform deep searches on the web to answer user questions.
However, their agent has a huge downside: it's not open. So we've started a 24-hour rush to replicate and open-source it. Our resulting open-Deep-Research agent took the #1 rank of any open submission on the GAIA leaderboard!
Related contents:
Enable AI to control your browser. Make websites accessible for AI agents.
We make websites accessible for AI agents by extracting all interactive elements, so agents can focus on what makes their beer taste better.
Related contents:
LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows.
Related contents:
Build and ship AI products on a single, collaborative platform
Take AI products from early-stage ideas to production-grade features with tooling for experimentation, evaluation, deployment, monitoring, and collaboration.
Related contents:
The open-source visual AI programming environment and TypeScript library.
Rivet, the IDE for creating complex AI agents and prompt chaining, and embedding it in your application.
Related contents:
Enable generative AI applications to automate multistep tasks by seamlessly connecting with company systems, APIs, and data sources.
Related contents:
Your on-machine AI agent, automating engineering tasks seamlessly.
an open-source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM.
Related contents:
The Production-Ready Open Source AI Framework.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Explore Agent Recipes
Explore common agent recipes with ready to copy code to improve your LLM applications.
Related contents:
LLM Agent and Evaluation Framework for Autonomous Penetration Testing.
We introduce HackSynth, a novel Large Language Model (LLM)-based agent capable of autonomous penetration testing. HackSynth's dual-module architecture includes a Planner and a Summarizer, which enable it to generate commands and process feedback iteratively. To benchmark HackSynth, we propose two new Capture The Flag (CTF)-based benchmark sets utilizing the popular platforms PicoCTF and OverTheWire. These benchmarks include two hundred challenges across diverse domains and difficulties, providing a standardized framework for evaluating LLM-based penetration testing agents.
A web browser for AI agents & applications.
An AI web browsing framework focused on simplicity and extensibility.
Low code LLM Apps Builder. Build LLM Apps Easily.
Open source low-code tool for developers to build customized LLM orchestration flow & AI agents.
Related contents: