Terminal-based agentic AI coding assistant from Charm that works with many LLM providers, uses LSP and MCP for context, manages per-project sessions, and asks permission before running tools by default.

Open-source, extensible AI agent that goes beyond code suggestions to install, execute, edit, and test with any LLM, available as a desktop app, CLI, and API with 70+ MCP extensions.

Open-source configuration framework that enhances Claude Code with slash commands, specialized agents, behavioral modes, and MCP server integrations for a more structured development workflow.

Apache-2.0 Python framework for building production-ready conversational AI apps with chat lifecycles, messages, steps, actions, elements, authentication, persistence, and integrations.

Open-source, self-hostable workflow automation platform with AI workflows, TypeScript pieces, human-in-the-loop steps, and a built-in MCP server.

Open-source SDK and runtime for building, running, and managing agent platforms with agents, teams, workflows, memory, knowledge, tools, MCP, and AgentOS.

Open-source visual framework for building and deploying AI agents, RAG apps, workflows, MCP tools, and LLM applications with reusable components.

Python agent framework from the Pydantic team for type-safe GenAI apps, tools, structured outputs, MCP, evals, and durable workflows.

OpenAPI-native platform and CLI for generating type-safe SDKs, CLIs, Terraform providers, contract tests, and standalone MCP servers.

Official visual testing and debugging tool for Model Context Protocol servers.

Self-hostable hub that wraps stdio MCP servers as streamable HTTP endpoints via supergateway, so a fleet of Model Context Protocol servers can run on one machine and be reached from any MCP client over the network.

MCP server discovery and deployment platform for finding, installing, and running model context protocol tools.