293KUpdated 5 days agoMIT
Windows#Agent Skills#Code execution#Git integration
Superpowers adds a structured development process to AI coding assistants. It's for developers who want their agent to agree on a design before writing code, follow an implementation plan, and check its work against that plan. The open-source framework uses the MIT license and works inside coding tools including Claude Code, Codex, Cursor, Gemini CLI and OpenCode.
29.9KUpdated 1 day ago
Docker · JetBrains#Code execution#MCP#Persistent memory
Serena is a locally run MCP toolkit that gives AI coding agents access to code structure: functions, classes and the references between them. It's for developers who want their agent to find and change specific parts of a codebase without reading whole files or relying on text matching. It requires an LLM client and works with Claude Code, Codex, OpenCode, Cursor and OpenWebUI.
62.5KUpdated 1 day agoMIT
#MCP#RAG#Tool calling
Context7 brings current library documentation and code examples into an AI coding assistant's context. It's for developers who want answers grounded in the libraries and versions they're actually using, rather than an assistant's older training data. It works with Claude Code, Codex, Cursor, Devin Desktop and Antigravity.
43.4KUpdated 1 week agoApache-2.0
macOS · Windows · Linux#Guardrails#Tool calling
agent-browser gives AI agents a compact text view of a browser page, with references that identify the exact elements they can interact with. It's for developers who want coding assistants or other agents to use websites without filling their context with a full page's HTML. The open source tool runs locally on macOS, Linux and Windows under the Apache 2.0 license.
30.1KUpdated 3 weeks agoMIT
macOS#GGUF#Hugging Face integration#Hybrid search
QMD is a local search engine for people with Markdown notes, meeting transcripts, or documentation they want to search themselves or make available to an AI agent. It accepts exact keywords and natural-language queries, with indexing and model inference running on your own machine. It's open source under MIT.
pieces.appAgent Memory
#MCP#Persistent memory#RAG
Pieces runs in the background on your computer and builds a searchable history of your work across apps. It's for people who need to recover a decision, find earlier research or resume a task after switching between tools. Memories stay on your machine by default.
2.7KUpdated 3 months agoMIT
Docker · Web#MCP#Multi-user access#Single sign-on
MetaMCP is a self-hosted gateway for developers and teams who want to give AI clients access to several MCP servers through one endpoint. It runs on your own machine or server with Docker and is open source under the MIT license. You choose which tools clients see.
37.5KUpdated 4 days agoMIT
macOS · Windows · Linux · Docker · Web#LLM tracing#MCP#Multimodal input
Claude Code Router is an open-source local model gateway for developers who use coding agents and want to manage their model providers in one place. It runs on macOS, Windows and Linux, with Docker and a CLI with a browser interface also available. The project uses the MIT license.
1.6KUpdated 2 weeks agoMIT
#MCP#Tool calling
Docker MCP Gateway gives developers one local connection point for the tools their AI applications use. It runs MCP servers in isolated Docker containers and shares their configuration across clients such as Claude Code, Cursor and Zed. This reduces repeated setup when several coding assistants need access to the same databases, APIs or development tools.
3.4KUpdated 1 month agoMIT
macOS · Windows · Linux · Docker#Code execution#MCP#Tool calling
Postgres MCP Pro is a self-hosted MCP server that gives AI assistants access to PostgreSQL alongside tools for diagnosing slow queries and testing index recommendations. It's for developers and database maintainers who want their assistant to work with the database's actual schema, query statistics and execution plans. It runs through Docker or Python and is open source under the MIT license.
33.3KUpdated 2 weeks agoMIT
Docker#Git integration#MCP#Tool calling
GitHub MCP Server is GitHub's official connector for developers who want their AI assistant to work with repositories and project activity. It gives compatible coding assistants access to GitHub through the Model Context Protocol (MCP), so they can retrieve context and take actions requested in natural language. The code is open source under the MIT license.
52.8KUpdated 22 hours agoApache-2.0
#MCP#Tool calling
Chrome DevTools MCP gives AI coding assistants access to a live Chrome browser through a locally running MCP server. It's for developers who want their agent to inspect how a web app behaves, investigate errors and measure performance alongside its coding work. It works with clients such as Claude Code, Cursor, Copilot and Antigravity.
11KUpdated 1 week ago
Linux · Web#MCP
MCP Inspector is a locally run developer tool for testing Model Context Protocol (MCP) servers. It's for developers building or checking the servers that connect AI applications to tools and data. You can inspect a local server or connect to a remote HTTP endpoint.
13.2KUpdated 1 day agoMIT
Linux · Docker#Git integration#Ollama integration
PR-Agent is an open source AI code review agent for development teams that want to choose where their reviewer runs and which model it uses. It reviews pull requests, writes descriptions, suggests code improvements, and answers questions about proposed changes. You can run it locally through a CLI, on a self-hosted server, in Docker, or through GitHub Actions.
37.7KUpdated 2 days agoApache-2.0
macOS · Windows · Linux · Docker#Code execution#LM Studio integration#MCP
Playwright MCP lets AI agents control a browser by reading structured page information rather than interpreting screenshots. It's for developers building browser automation, exploratory tests or agent workflows that need to keep a browser session open across repeated actions. The server runs locally on macOS, Windows and Linux, or as a self-hosted service.
31.2KUpdated 21 hours agoApache-2.0
Docker · Web#Knowledge graphs#MCP#Multi-user access
Cognee gives AI agents persistent memory across sessions, connecting documents, code, and conversations in a searchable knowledge graph. It's for developers who want agents to retain project context and teams whose knowledge sits across tickets, discussions, and repositories. The Python package is open source under Apache 2.0.
28.6KUpdated 2 days agoMIT
Docker · Web · Browser Extension#Agent Skills#Code execution#MCP
Repomix turns a code repository into a single file that an AI assistant can read. It’s for developers who need to give Claude, ChatGPT, Gemini, or another model enough project context for code review or analysis. You can use its command line on your own machine, pack a repository through its website, or run it as an MCP server, including through Docker. It is open source under the MIT license.
470Updated 1 month agoMIT
macOS#MCP#Tool calling
ast-grep MCP is a locally run server that lets AI coding assistants search code by its syntax structure. It connects ast-grep to Cursor, Claude Desktop and other clients that support the Model Context Protocol (MCP). It's for developers who need an assistant to find specific code constructs when matching words alone is too broad.
Choose tools for the context your agent needs. Serena adds code navigation, Repomix packages repository content, and QMD searches local Markdown documentation and notes. Browser MCP integrations and agent-browser support UI checks through different interfaces. Postgres MCP Pro gives an agent database inspection, SQL and tuning tools. Pieces and Cognee provide other ways to reuse context.
Choose integrations for a concrete task and check that your agent supports their connection method. MCP Inspector helps test a server, while Docker MCP Gateway and MetaMCP organize several connections. PR-Agent handles pull-request reviews as a separate workflow. Local servers can still call GitHub, cloud models or other online services; compare those connections and choose database access appropriate to the task.