MCP Servers, Tools and Agent Skills

memU gives connected AI agents a shared memory of preferences, project decisions and learned workflows. It's for people who move between agents or sessions and want useful context to carry into later tasks.

AutoTS is an open-source Python package for people who need forecasts across many time series without choosing a model and preprocessing method for each one. It runs in your own Python environment and uses automated search to compare forecasting approaches for your data. The license is MIT.

Vigil SOC is an open source AI SOC for security teams that want agents to investigate alerts and carry out incident response within their own environment. It connects investigations, containment, and reporting through editable playbooks.

Potpie's open-source CLI gives developers and coding assistants a local store of project context, backed by a daemon and a browser graph explorer. It's for teams that need agents to understand code alongside engineering decisions and project history. With Claude Code’s standard cloud connection, prompts and model outputs travel to a remote model provider over the network.

Stella is a legal workspace for law firms and legal teams that want matter files, contract review and research in one place. Its AI agent answers questions about a matter with citations that open the relevant source passage.

RESTai is a self-hosted AI platform for developers and teams building document assistants, agents and AI services for other applications. Its web interface manages projects with separate models, prompts and tools, plus a chat playground for testing them.

Humanizer Stack is a pair of Claude Code skills for writers and editors revising public-facing AI drafts. It checks sentence-level habits and the shape of a piece, rather than limiting edits to word substitutions.

FastCtx is a local MCP runtime for coding agents working in code repositories. It gives agents structured results for routine file work without relying on shell commands for every read or search.

SlopMonster checks English drafts for wording and sentence patterns often associated with AI writing. It's for writers and developers reviewing copy for READMEs, landing pages, emails or scripts.

YoMo is a self-hosted framework for developers building AI agents that call application tools. It supports distributing inference and tool execution across locations closer to an application's users.

PapersGPT is an AI research assistant inside Zotero for researchers working through a paper library. It helps answer questions across saved research and turn findings into notes with citations back to the papers.

Unstract is a self-hosted, no-code platform for teams that need structured data from documents whose layouts vary. It uses LLMs to extract JSON from PDFs, images, scans and office files without building a template for each vendor or form. Its use cases include finance, insurance, healthcare and KYC document processing.

next-wiki is a self-hosted wiki for people and teams who want AI-assisted knowledge management with a record of where information came from. It keeps original sources separate from AI-written material and reviewed pages, so an assistant's synthesis remains traceable to its evidence. It's open source under Apache 2.0 and runs as a browser app on your own Docker host with PostgreSQL.

Hermes Notes is a self-hosted personal knowledge base for people who want their notes and project work in one connected system. It runs on your laptop or a server you control, with a browser interface and PostgreSQL storage. It's open source under the MIT license and built for personal use or a trusted small group, rather than a public service for unrelated users.

haiku.rag lets you search your own documents and ask questions with answers you can check against the original pages. It's for people building a private document library or giving an AI assistant access to their files.

Anything Analyzer is a desktop protocol analyzer for developers and security researchers investigating APIs, authentication and request signing. It brings browser and app traffic into one session for inspection and AI analysis.

Link gives AI agents persistent memory so you don't have to repeat preferences, project decisions and context in every session. Multiple agents can read the same local Markdown files, which you can inspect in an editor or Obsidian.

Dograh is an open source voice AI platform for teams building agents that answer or place phone calls. It's a self-hosted alternative to Vapi and Retell, with control over conversation flows and a choice of AI providers.

Unity MCP connects AI assistants to the Unity Editor so game developers can ask an assistant to make changes directly in a project. It works with local LLMs and MCP clients including Claude, Codex, Cursor and VS Code.

HippoRAG is a Python memory and retrieval framework for developers building LLM applications that need to connect facts across documents. It uses a knowledge graph to find related information for questions that require several pieces of evidence.

OwnPilot is a self-hosted AI assistant for people who want personal records and agents that can carry out tasks in one web interface. It supports local model backends as well as cloud providers.

Strix is an AI penetration testing tool for developers and security teams assessing code, web applications and APIs. Its free, open source edition runs locally with Docker under the Apache 2.0 license. It supports local models through Ollama or LM Studio, as well as remote providers such as OpenAI and Anthropic; cloud-backed runs send model requests to the selected provider.

Cognee gives AI agents memory across sessions so they can reuse project context, decisions, and lessons from earlier work. It's for developers building agents and teams whose knowledge sits across documents, code, and conversations.

Fast Agent is a terminal coding assistant and Python toolkit for developers building AI agents and automated workflows. You can choose local LLMs or hosted providers and use the same toolkit for interactive work, scripting, and evaluation.

Kitter is a local agent skill manager for developers who work across several projects. It keeps shared skills in one library while letting each project use its own selection, reducing the need to maintain separate copies.

OpenMAIC is a self-hosted AI classroom platform for learners and educators building lessons from a topic or their own materials. AI teachers and classmates explain concepts and discuss questions during the lesson.

Waggle is a local MCP server for developers coordinating AI agents across coding tools. It lets agents pass references to plans, reports and other artifacts while keeping a record of who created them and what recipients read.

MCP Agent is a Python framework for developers building AI agents that use tools through Model Context Protocol (MCP). It handles connections to MCP servers and provides reusable workflows for coordinating agents across a task.

Pyserini is an open-source Python toolkit for researchers and developers comparing document search methods or building the retrieval stage of a ranking or RAG system. It runs as a Python package on your own hardware and lets you search existing benchmark indexes or build indexes from your own documents. Its license is Apache 2.0.

Codex iOS Assistant connects Codex on your Mac to your iPhone so the assistant can perform phone actions and retrieve phone context. It's for people who want to bring information from their phone into their work with Codex.

Project Orchestrator coordinates AI coding agents for developers working across tasks or related repositories. It gives agents a shared record of code, plans and decisions so each task can draw on earlier work.

XERJ is a local search engine for developers building AI agents that need to retrieve code, documents or stored knowledge without reading whole files into their context. It runs on a laptop or self-hosted server.

Agent QA is a source-available AI testing agent for developers and software teams testing web, Android and iOS apps. You describe a user journey and its expected results in plain English. It tests the real interface and carries observations from earlier runs into later ones, so it can account for how your app behaves.

SimpleMem is a memory system for developers building AI agents that need to recall past conversations and stored media without passing the full history to a model each time.