Tools tagged with "MCP"

llama.cpp is a local LLM inference engine for developers building AI applications or running models on hardware they control. It supports language and vision-language models, with command-line tools and a server API for using the engine directly or connecting other software.

OpenRAG is a self-hosted platform for searching documents and asking questions about them through an AI chat interface. It brings Langflow, OpenSearch, and Docling together for developers and teams that want a document knowledge base with control over its retrieval workflows. It's open source under Apache 2.0 and supports self-managed deployment with Docker or Podman.

ECC adds reusable engineering workflows to AI coding assistants. It's for developers who want editable plans, test-first development and separate review contexts across sessions.

Context7 is a locally runnable MCP server and CLI that connect coding assistants to its hosted documentation service. It's for developers who want library references and code examples in their assistant's context. The local component is the connection to that service: the API backend, document parsing and crawling engines remain private hosted components.

Context Mode is a local MCP plugin for developers whose AI coding agents fill their context windows with logs, file reads and search results. It stores large tool outputs on your machine so the agent can retrieve relevant passages as needed.

Kelivo is an LLM chat client for people who want local and cloud models in one app while keeping conversation history on their device. It connects to Ollama, self-hosted OpenAI-compatible services and providers including OpenAI, Gemini, Claude, DeepSeek and OpenRouter.

Activepieces is a self-hosted automation platform for teams that want AI agents and app workflows on their own servers. It runs with Docker or Kubernetes, alongside a managed cloud offering. Self-hosting controls where the app runs; connections to Anthropic, OpenAI, AWS Bedrock or Google Gemini still send model requests to those providers using your credentials.

Headroom reduces the context that LLM apps and coding agents send to a model. It's for developers whose prompts fill up with repetitive tool results, logs, file contents and retrieved documents. Compression runs locally, but model requests still go to the chosen LLM provider.

FreeLLMAPI gives developers one API for experimenting with cloud models and local backends. The router runs locally, but cloud inference still sends requests to the providers you enable.

RocketRide is an AI pipeline builder and runtime for developers creating document processing, search, and agent workflows. Its visual editor sits in VS Code, alongside the application code that uses those workflows.

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.

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.

CC Switch is a desktop manager for developers who use multiple AI coding assistants or API providers. It brings their settings into one interface and preserves existing plugins, hooks and other custom settings when switching providers.

AI Job Search is a job application framework for people who want to assess roles and prepare tailored documents from their own career profile. It runs through Claude Code on your machine, but AI work uses Anthropic's service and requires paid Claude access or API credits, so it isn't fully offline.

DeepTutor is a self-hosted AI tutor for learners who want to study their own materials through a browser or CLI. It supports Docker deployment and uses configured model providers for its AI capabilities. Hosting the app locally is separate from model inference; requests to a remote provider leave the host.

Hindsight is a memory system for developers whose AI agents need to carry facts and experience across sessions. It combines stored memories into observations and maintains answers to recurring questions as more information arrives.

PyOD is a Python library for detecting unusual records and behavior in data on your own machine or server. A shared fit/predict interface lets developers and data scientists compare classical and deep learning anomaly detectors without changing the surrounding application for each algorithm. Its code uses the BSD 2-Clause license.

Firecrawl turns web pages into content that developers can use in AI apps and agents. Its self-hosted API suits teams that want to collect web data on infrastructure they control.

nanobot is a self-hosted personal AI agent for people who want an assistant that can act on files and continue work across conversations. Its Python framework also suits developers building their own assistant integrations.

OpenCodeReview is a locally installed AI code review CLI for developers who want findings tied to specific code lines. It sends code to a configured LLM endpoint through OpenAI- or Anthropic-compatible APIs. The local CLI handles the review process; model inference depends on that endpoint.

Claude Mem gives coding assistants persistent project memory, so developers can carry earlier decisions and failed approaches into later sessions without explaining them again.

Crush is a terminal AI coding assistant for developers who want an agent to work with their code and existing tools. The application runs on your machine; your chosen backend determines where model requests go.

Pi is a terminal coding agent for developers who want an assistant they can adapt to their projects. Its small core supports custom workflows through extensions and shareable packages.

Reverse Skill gives AI coding agents workflows for reverse engineering, authorized penetration testing and CTF challenges. It's for security researchers who want their agent to select an analysis method and work with the tools available on their machine.

Open WebUI is a self-hosted chat workspace for individuals and teams using local LLMs and cloud models. It can work entirely offline with local models.

Scrapling is a Python web scraping framework for developers collecting data from individual pages or crawling whole sites. Its adaptive parser can relocate selected elements when a website's layout changes.

RuoYi AI is a self-hosted AI assistant platform for teams building assistants that answer questions about their documents or perform tasks with external tools. It has separate user and admin interfaces.

Codeg is an AI coding workspace for developers who use several agents and want to coordinate their work without losing context between tools.

WeKnora is a self-hosted AI knowledge platform for teams that want to query documents, carry out tasks using them and organize them into a wiki. These functions share the same knowledge bases.

Vellium is a desktop AI app for writers and people who want conversations with fictional characters. It combines multi-character roleplay with writing projects and lets you choose the model provider.

PrivateGPT is a self-hosted API layer for developers building applications around local models. It requires a separate inference server, such as Ollama, llama.cpp, vLLM or LocalAI; it doesn't run models itself.

xberg, formerly Kreuzberg, is a local document extraction engine for developers building AI search and document processing applications. It turns files into text and structured content that those applications can use.

GoModel is a self-hosted AI gateway for developers and platform teams sharing access to local models and cloud providers. It centralizes provider choice and usage policies behind APIs compatible with OpenAI and Anthropic SDKs.

NLM Memory collects coding conversations into one searchable store on your machine. It's for developers who switch agents or editors and need earlier reasoning to remain available when decisions change.

NVIDIA NeMo Data Designer is a Python framework for developers and data teams creating synthetic datasets with controlled variation and relationships between fields. It can start with an empty dataset or build on your own seed data. The framework is open source under Apache 2.0.

Obscura is a headless browser engine for developers building AI agents and web scraping systems with many independent sessions. Each session starts with fresh state, keeping cookies, logins and cached data separate between tasks.