3.1KUpdated 2 days agoApache-2.0
macOS · Windows · Linux · Web#Code execution#MCP#Multi-agent workflows
BotSharp is a self-hosted framework for .NET developers building AI agents into business applications. Written in C#, it runs on Windows, Linux and macOS and is open source software under Apache 2.0. Its plugin design lets teams choose their model provider, storage and interface while keeping agent coordination in the same framework.
8.1KUpdated 1 day agoMIT
Windows · Linux · iOS · Android · Docker · Web#Multi-user access#ONNX#Semantic search
LibrePhotos is a self-hosted photo manager for people who want to organize a photo library on their own server, with AI tools for finding images and grouping faces. It scans files already on your storage and supports RAW photos as well as videos. The project is open source under the MIT license.
1KUpdated 1 week ago
#Distributed execution#Hugging Face integration#LoRA
Kaito manages self-hosted LLM inference, fine-tuning, and document retrieval services in a Kubernetes cluster. It's for teams that want to run models on infrastructure they control while reducing the work of sizing GPU resources and managing model deployments. The project is open source under Apache 2.0.
9.7KUpdated 9 months agoMIT
#Ollama integration#RAG#Semantic search
LangChainGo is a Go implementation of LangChain for developers building LLM applications in their own software. It connects Go programs to model backends, including Ollama for local LLM use and cloud services such as OpenAI and Gemini. It's a library, so its audience is developers who want to build an application rather than use a ready-made chat interface.
3.7KUpdated 5 days ago
Docker · Web#MCP#Multi-user access#Multimodal input
Morphik Core is a self-hosted multimodal retrieval engine for developers building AI applications around visually rich documents. It searches diagrams, schematics, charts, and datasheets alongside text, so applications can retrieve information that text extraction alone can miss. You can run it on your own server, including through Docker, or use Morphik's hosted service.
5KUpdated 6 months agoApache-2.0
Docker#Hugging Face integration#Multimodal input#RAG
Marqo Open Source is a self-hosted search engine for developers building semantic document search, image search, or retrieval for AI applications. It handles embedding generation alongside storage and retrieval, so applications can submit documents without maintaining a separate embedding service. The open-source project is deprecated and no longer receives updates.
4.3KUpdated 4 weeks agoApache-2.0
macOS · Windows · Linux · iOS · Android#Batch processing#Semantic search
USearch is an open-source similarity search library for developers building semantic search, recommendation systems, and other applications that compare vectors. It runs within your application on your own hardware or server. Its compact C++ core supports custom definitions of similarity, including comparisons between combined image and text embeddings or geospatial data.
8KUpdated 11 months agoMIT
Docker#Hybrid search#Knowledge graphs#Multi-user access
R2R is a self-hosted AI retrieval system for developers building applications that answer questions using their own documents. It combines search, retrieval-augmented generation (RAG) and a reasoning agent behind a REST API. The project is open source under the MIT license and runs as a Python service or in Docker.
11.1KUpdated 1 month agoGPL-3.0
macOS · Windows · Linux · Android#RAG#Semantic search
Blinko is a self-hosted AI note app for quickly capturing thoughts and retrieving them later. Notes and data are stored in your own environment, with plain-text storage and Markdown formatting. The project is licensed under GPL-3.0.
752Updated 3 weeks agoApache-2.0
Linux · Docker · Web · Browser Extension#Batch processing#OpenAI-compatible API#Quantization
Meme Search is a free, self-hosted web app for people who want to find memes in their own collection by image content or text. It runs locally through Docker and uses AI descriptions to make images searchable, even when their filenames aren't useful. The code uses the Apache 2.0 license.
4.7KUpdated 1 week agoApache-2.0
macOS · Windows · Linux · Docker#Hybrid search#Reranking#Semantic search
Infinity is a self-hosted database for developers building search and retrieval-augmented generation (RAG) into LLM applications. It combines embedding search with full-text search and structured filters, so an application can retrieve relevant records through both meaning and exact terms.
22KUpdated 2 days agoApache-2.0
#Hugging Face integration#Semantic search
Hugging Face Datasets is an open source Python library for preparing data for AI training and evaluation on your own machine. It's for developers and researchers working with local files or datasets from the Hugging Face Hub. The library runs locally; downloading, streaming or sharing data through the Hub uses Hugging Face's hosted service.
7.6KUpdated 1 day agoApache-2.0
#Agent Skills#Code execution#Git integration
Forge is an open-source coding assistant that runs in your terminal and works with models from multiple providers. It's for developers who want an AI agent to edit code and run commands in their own development environment, with a choice of Claude, GPT, OpenAI's O Series, Grok, Deepseek or Gemini.
360Updated 3 weeks agoAGPL-3.0
#Ollama integration#RAG#Semantic search
Joplin Jarvis is an AI assistant for people who keep their writing, research, or personal knowledge in Joplin on desktop and mobile. It connects conversations to your existing notes and supports local LLMs through Ollama alongside cloud services such as GPT, Claude, Gemini, and Hugging Face.
1.2KUpdated 3 months agoMIT
macOS · Windows · Linux · Docker · Web#Semantic search
HomeGallery is a self-hosted web gallery for people who want to browse their personal photos and videos while keeping their existing files and folders. It brings multiple media directories into one gallery, with a mobile-friendly browser interface and PWA support. It's open source under MIT.
1KUpdated 7 days agoMIT
macOS · Windows · Linux#Batch processing#Multimodal input#Semantic search
rclip searches image folders by their visual content, so you can find photos without adding tags or importing them into a photo library. It's a local AI tool for people who keep image collections on their own computers or servers and prefer working in the terminal. It runs on Linux, Windows and Apple Silicon macOS, and it's open source under the MIT license.
4.9KUpdated 3 months ago
Linux · Docker#llama.cpp backend#Multimodal input#Ollama integration
jetson-containers is a Docker container build system for developers running local AI and robotics workloads on NVIDIA Jetson hardware. It supplies prebuilt images and lets you combine AI packages into custom containers, reducing the work of assembling compatible GPU software for JetPack/L4T.
33.1KUpdated 4 weeks ago
Web#Hybrid search#Knowledge graphs#MCP
SurrealDB is a self-hosted database for developers building AI agents, knowledge graphs and applications that need several kinds of data together. It stores documents, relationships, vectors and time-series data in one engine, so an application's records and its AI retrieval layer can share the same database.
6.1KUpdated 5 days ago
macOS · iOS · Android#Hugging Face integration#Multimodal input#Quantization
Cactus is an on-device AI engine for developers building automation into mobile apps, wearables and embedded devices. Its Needle model handles tool calling locally, so a device can turn a request into an action without an internet connection. The focus is small devices, including smart home hardware, robots and microcontrollers.
4.7KUpdated 2 days agoMIT
Docker · Web#Git integration#LLM tracing#MCP
Latitude is a self-hosted AI agent monitoring platform for teams that need to find production failures and check that fixes work. It connects recurring problems to the sessions that caused them, then can dispatch Claude Code or Cursor with enough context to make a fix and open a pull request.
38.7KUpdated 11 months agoApache-2.0
macOS · Windows · Linux · Docker · Web#Multimodal input#Ollama integration#OpenAI-compatible API
Langchain-Chatchat is a self-hosted application for asking questions about your own documents and using AI agents. It focuses on Chinese-language use and open models, with a fully offline setup that can keep documents and model processing on your hardware. Its code is open source under Apache 2.0.
251Updated 1 day agoApache-2.0
#Human approval#MCP#Multi-user access
Mattermost Agents brings AI assistants into a self-hosted Mattermost workspace, with a choice of local models or cloud providers. It's for teams that want help with long discussions and meeting recordings while controlling where their collaboration data goes. The plugin is open source under Apache 2.0.
22.2KUpdated 1 month agoMIT
macOS · Windows · Linux · Docker · Web#Hugging Face integration#Hybrid search#Ollama integration
localGPT is a self-hosted AI document chat app for people who want to question and summarise files on their own hardware. Its local Ollama setup keeps documents and conversations on your machine. Answers include source passages, so you can check what the model used.
41KUpdated 24 hours agoMIT
#Batch processing#Semantic search
FAISS is an open-source library for developers who need to search and cluster vector data on their own machines or servers. Its main strength is the choice between exact results and approximate searches that use less memory or return results faster. It's MIT-licensed.
29.4KUpdated 22 hours agoApache-2.0
#Semantic search
Chroma DB is an open-source search database for developers building AI apps and agents that need to retrieve information from their own data. You can run it locally or host it on your own infrastructure under the Apache 2.0 license. Chroma Cloud is a separate hosted service for managed, serverless search.
25.8KUpdated 4 months agoApache-2.0
macOS · Windows · Linux · Docker · Web#Hybrid search#llama.cpp backend#Multi-user access
kotaemon is a self-hosted document chat app for people who want to ask questions across their files and check where the answers came from. It runs in a browser on Windows, macOS or Linux, with Docker also supported. The project uses the Apache 2.0 license.
26.6KUpdated 6 days agoGPL-3.0
macOS · Linux · Docker#Hybrid search#Multimodal input#RAG
Typesense combines typo-tolerant site search with vector and semantic search in a self-hosted engine. It's for developers building searchable apps, product catalogs or AI search over their own data. The C++ engine uses an in-memory architecture for low-latency results as users type.
11.6KUpdated 23 hours agoApache-2.0
#Hybrid search#Semantic search
LanceDB is an open source vector database for developers building AI retrieval applications and teams working with training datasets. Its embedded library runs locally or in your own cloud under the Apache 2.0 license. Cloud and Enterprise offerings provide managed infrastructure for production workloads.
18.3KUpdated 1 day agoMIT
macOS · Windows · Linux · Docker · Web#Human approval#Hybrid search#llama.cpp backend
DocsGPT is an MIT-licensed, open-source platform for teams that want AI search, assistants and agents over their own documents. It can run on your servers with local models, including fully air-gapped deployments where documents and questions stay inside your network. Answers include the source title and page number so readers can check the evidence.
3.1KUpdated 3 weeks agoPostgreSQL
macOS · Linux · Docker#Semantic search
pgvectorscale adds an index for large embedding datasets to PostgreSQL databases that use pgvector. It's for application developers and database administrators who want to keep AI similarity search in their existing database, with more control over search speed and storage use.
7.8KUpdated 2 days agoAGPL-3.0
#LM Studio integration#Multi-agent workflows#Ollama integration
Obsidian Copilot brings AI agents into your vault to find notes by meaning, edit drafts and organize research. It's for writers, researchers and other Obsidian users who want AI to work directly with their existing notes. Agents create Markdown files, wikilinks and canvases that remain in your vault.
5.5KUpdated 6 days ago
#Semantic search#Works offline
Smart Connections is an Obsidian plugin that finds notes and passages related to what you're writing, even when you haven't linked them or entered a search query. It's for researchers, writers, and people whose vaults contain useful work they struggle to find again. Matches depend on meaning, so earlier research or a relevant decision can appear beside your current note without manual tagging.
9.1KUpdated 23 hours agoMIT
macOS · Windows · Linux · Docker · Web#llama.cpp backend#MCP#Multi-user access
Local Deep Research is a self-hosted AI research assistant for people who need cited answers drawn from academic papers, the web and their own documents. It can produce a quick summary or pursue a complex question through repeated searches, then assemble a structured report. It's open source under MIT.
13KUpdated 23 hours agoApache-2.0
Docker#Agent Skills#Hugging Face integration#Knowledge graphs
txtai is a Python framework for developers building search applications, chat with their data, and AI agents on their own hardware or servers. Its embeddings database combines sparse and dense vector search with graphs and relational data, so the same system can find related content and supply context to language models. It's open source under Apache 2.0.
36.2KUpdated 7 days agoMIT
#Knowledge graphs#RAG#Semantic search
GraphRAG builds a knowledge graph from text so an LLM can answer questions that depend on connections across documents or themes across a whole collection. It's for developers and researchers working with private datasets, such as business documents, proprietary research, or communications.
322Updated 2 weeks agoMIT
iOS · Android · Docker · Web#Batch processing#Code execution#Guardrails
Tiledesk is a self-hosted platform for building AI agents and connecting them to human support teams. It's aimed at businesses automating customer conversations, internal information searches and workflows through a visual builder. You can run it on your own server with Docker or Kubernetes, or use its hosted cloud service.