Control 1 or more machines using computer use tools that integrates with your agents

Trigger.dev – build and deploy fully‑managed AI agents and workflows

Cloud Native Agentic AI | Discord: https://bit.ly/kagentdiscord

Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.

Local first, desktop companion platform with animated pets, plugin SDK and coding-agent integrations.

A Model Context Protocol (MCP) client library and debugging toolkit in Rust. This foundation provides both a production-ready SDK for building MCP integrations and the core architecture for an interactive debugger.

Gerillass is a Sass mixin library containing a set of Sass mixins and functions to help front-end developers generate scalable CSS outputs.

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

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.

Java test automation framework for web, mobile, API, CLI, database, and desktop E2E testing with a fluent API and built-in reporting.

The open-source memory and observability layer for AI agents — persistent memory, loop detection, hash-chained audit trails, and a live dashboard, automatic on pip install.

TypeScript multi-agent framework that runs in your own environment: consequential actions wait for approval and every run leaves a verifiable record. Describe the goal, not the graph. 13 built-in providers (Claude, OpenAI, Gemini, DeepSeek and more) plus any OpenAI-compatible endpoint, local models included.

The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.

Smithers is an agentic workflow framework for defining workflows in simple TypeScript configuration files and executing them quickly, durably, and reliably

MCP Server Framework and Tool Development library for building custom capabilities into agents.

Deterministic safety solutions for probabilistic AI agents

Fluent argument validation for fluent software development.

A minimal yet powerful framework for creating AI agents with full control over tools, providers, and execution flow.

Agent-SDK without CLI dependencies, as an alternative to claude-agent-sdk, completely open source

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.

SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.

Poirot is a deep research agent kernel built for those who care about how agents are architected.

Allows you to emulate an Android native library, and an experimental iOS emulation

TypeScript-first framework for the Model Context Protocol (MCP). You write clean, typed code; FrontMCP handles the protocol, transport, DI, session/auth, and execution flow.