OpenBrowser is a framework for intelligent browser automation. It combines direct CDP communication with a CodeAgent architecture, where the LLM writes Python code executed in a persistent namespace, to navigate, interact with, and extract information from web pages autonomously.
A Lisp with first-class LLM primitives, implemented in Rust
Building blocks for frontier OpenAI agents in Rust. Nanocodex empowers you with Codex-level performance anywhere.
Composable agent runtime with enforced isolation boundaries
Agent-SDK without CLI dependencies, as an alternative to claude-agent-sdk, completely open source
Local first, desktop companion platform with animated pets, plugin SDK and coding-agent integrations.
A minimal yet powerful framework for creating AI agents with full control over tools, providers, and execution flow.
The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI
🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
The open-source TypeScript framework for building AI workflows and agents. Designed for Claude Code describe what you want, Claude builds it, with all the best practices already in place.
Playwright AI Agent POM MCP ServerPlaywright AI Agent using Page Object Model (POM) architecture with MCP Server integration for automated web and mobile testing
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
Minimal AI coding agent (~1,000 lines of Python) inspired by Claude Code. Works with any LLM. Think NanoGPT for coding agents. Formerly NanoCoder.
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Control 1 or more machines using computer use tools that integrates with your agents
Rails Engine with MCP compliant Spec.
Open-World Self-Evolution for LLM Agents — agents that build both their skills and their own verification signals from scratch, with no target-task supervision. (Code coming soon.)
🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
Java test automation framework for web, mobile, API, CLI, database, and desktop E2E testing with a fluent API and built-in reporting.
A TypeScript framework for building MCP servers.
A Go agent harness and service framework
Fluent argument validation for fluent software development.
AI said it finished. Flyto2 shows the proof.