55.5KUpdated 2 months ago
Docker · Web#Human approval#LLM tracing#Multi-agent workflows
Flowise is a visual builder for AI agents and chatbots that can run locally or on your own server, including through Docker. It's for developers and teams building LLM applications with connected workflow blocks. The project is archived and no longer maintained.
713Updated 1 year agoMIT
#RAG
PearAI is an open source AI code editor built on Microsoft’s VS Code, for developers and makers who want AI assistance inside their project. It combines questions about existing code with an agent that can write features and fix bugs. Its VS Code foundation gives it a familiar editing environment.
3.5KUpdated 4 months agoBSD-3-Clause
VS Code · JetBrains#Code execution#Persistent memory#RAG
Refact is a self-hosted AI coding assistant for developers who want an agent to work across their repository and development tools. The original project is archived and no longer maintained; ongoing development has moved to JegernOUTT/refact. The original code uses the BSD-3-Clause license.
nurgo-software.comAI Workflow Automation
Windows#Code execution#Multi-agent workflows#Multimodal input
BrainSoup is a proprietary native Windows app for people who want custom AI agents to handle work on their desktop. You can give agents distinct roles and access to different data, then have them collaborate in shared chat rooms. Natural-language conversations guide their tasks and automations.
3.7KUpdated 1 day agoMIT
Docker · Web · VS Code#Git integration#Hybrid search#llama.cpp backend
Twinny is an AI coding assistant for VS Code that lets developers choose where their models run: on their own computer, a private server or a hosted API. It's for individuals and teams who want code suggestions and repository chat with control over where their code goes. The extension and team gateway are open source under the MIT license.
6KUpdated 6 months agoMIT
Docker · Web#Multilingual#Ollama integration#OpenAI-compatible API
Paperless-AI is a self-hosted extension for Paperless-ngx users who want automatic document sorting and chat with their archive. It requires an existing Paperless-ngx instance and runs in Docker, with a browser interface for reviewing and processing documents. The project is no longer maintained.
784Updated 4 months agoAGPL-3.0
macOS · Windows · Linux · Docker · Web#Multi-user access#Multimodal input#Persistent memory
Agnai is a self-hosted AI roleplay chat app for people who want to create fictional characters and talk with them alone or in a group. A conversation can include multiple people and multiple bots. It builds on early work from Galatea-UI by PygmalionAI and uses the AGPL-3.0 open-source license.
1.5KUpdated 7 months agoApache-2.0
macOS · Windows · Linux#Ollama integration#RAG#Works offline
tlm is an open source terminal assistant for people who want help writing shell commands and understanding unfamiliar ones. It runs models on your workstation through Ollama, so command assistance doesn't depend on a cloud service. It works offline and requires no API key or subscription.
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.
5.8KUpdated 4 months agoPostgreSQL
Docker#Batch processing#Ollama integration#RAG
pgai keeps search embeddings in sync with PostgreSQL data for developers building RAG applications and AI agents. It's a Python library with database components and workers you can self-host, including in Docker. The project is archived and no longer maintained or supported. Its code is open source under the PostgreSQL License.
1.1KUpdated 3 weeks agoMPL-2.0
Linux#Ollama integration#RAG#Semantic search
chromem-go is a vector database that runs inside your Go application, so developers can add semantic search or retrieval augmented generation (RAG) without maintaining a separate database server. It stores text alongside embeddings and retrieves related documents for use in LLM answers. Its focus is ordinary application workloads rather than collections containing millions of documents.
39.6KUpdated 1 year ago
#Ollama integration#RAG#Reranking
Quivr Core is a Python framework for developers adding document-based AI answers to their own applications. It combines file ingestion with retrieval-augmented generation (RAG), so a model can answer questions using material from your documents. It supports local models through Ollama as well as cloud APIs from OpenAI, Anthropic, and Mistral.
4.4KUpdated 7 months agoApache-2.0
Docker · Web#Batch processing#Multimodal input#Ollama integration
Cognita is a self-hosted RAG framework for developers building applications that answer questions using their own documents. The project is archived and no longer maintained. It combines a browser interface for document Q&A with reusable components built on LangChain and LlamaIndex, under the Apache 2.0 open-source license.
5.4KUpdated 3 months ago
macOS · Windows · Linux#MCP#Multilingual#Ollama integration
5ire is a free desktop AI assistant that combines chat, a local document knowledge base and MCP tools. It runs on macOS, Windows and Linux, with Mac downloads for Apple Silicon and Intel. It's for people who want to use their own documents and external tools alongside conversations with local or cloud models.
8.4KUpdated 21 hours agoMIT
#Agent Skills#Batch processing#Guardrails
OGX, formerly Llama Stack, is a self-hosted AI application server for developers building chat apps, document search or AI agents. It brings model inference, file storage, vector search and agent orchestration into one process. You can run it on a laptop, in a datacenter or in the cloud. It's open source under MIT.
20.1KUpdated 2 days agoMIT
macOS · Linux · Docker · Web#Code execution#llama.cpp backend#OpenAI-compatible API
DB-GPT is a self-hosted AI data assistant for teams analyzing business data and developers building data applications. It turns plain-language requests into SQL queries and Python analysis, then produces charts, dashboards, or HTML reports. You can run it on macOS or Linux, with Docker deployment also supported.
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.
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.
huggingface.coOpen-Weight LLMs
#Guardrails#Hugging Face integration#Multilingual
Command A is an open weights language model from Cohere and Cohere Labs for researchers and developers building self-hosted chatbots, document assistants and AI agents. Its focus is business tasks that combine multilingual text, supplied documents and external tools. You can run the model on your own hardware; Cohere also offers hosted chat through a playground and Hugging Face Space.
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.
2.1KUpdated 8 months agoMIT
macOS · iOS#llama.cpp backend#Multimodal input#RAG
LLM Farm runs large language models offline on iOS and macOS. It's for people who want on-device AI chat or need to compare how different models perform on Apple hardware before choosing one for a project. The app is open source under the MIT license, with ggml and llama.cpp handling local inference.
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.
273Updated 2 years agoApache-2.0
Linux#Guardrails#Hugging Face integration#LM Studio integration
Granite is IBM's family of open-source AI models for developers and businesses that want to run and customize AI on their own hardware or servers. The language-model repository listed here is archived and no longer maintained. The broader family includes models for language, speech, document understanding and forecasting, released under Apache 2.0 for research and commercial use.
2KUpdated 7 months agoMIT
macOS · Windows · Linux · Web#MCP#RAG
NotebookLlama is a self-hosted NotebookLM alternative for people who want to work with documents through an app they can host and modify. Its browser interface runs locally, while LlamaCloud provides document extraction and indexing. It requires cloud services.
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.
23.8KUpdated 20 hours agoMPL-2.0
macOS · Windows · Linux · iOS · Android#Multilingual#Persistent memory#RAG
Brave Leo is an AI assistant built into the Brave browser, with Bring Your Own Model support for people who want to use their own local or remote models while browsing. It can work with third-party APIs as well as Brave's hosted model choices. The browser runs on macOS, Windows, Linux, Android, and iOS.
3.2KUpdated 5 days agoApache-2.0
macOS · Linux · Docker#GGUF#llama.cpp backend#MCP
Harbor is a CLI and companion app for people experimenting with AI on their own hardware. It manages a local LLM development environment, connecting model backends to chat interfaces and supporting services so you don't have to configure each connection yourself. It's open source under Apache 2.0.
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.
2KUpdated 6 months agoAGPL-3.0
macOS · Windows · Linux#Code execution#LM Studio integration#MCP
Witsy is an AGPL-3.0 desktop AI assistant for macOS, Windows and Linux that connects MCP tools to local and cloud models. It's for people who want document chat, writing help and voice features in one app, with a choice of where their models run.
1.9KUpdated 3 months agoMIT
macOS · Windows · Linux#Distributed execution#llama.cpp backend#Quantization
Augmentoolkit turns your documents into training data for a custom LLM that learns a particular subject. It's for researchers, developers and hobbyists who want models trained on their own material, such as research papers or fictional lore. The Python toolkit is open source under the MIT license and runs on macOS and Linux, with WSL recommended for Windows.
18KUpdated 1 day agoApache-2.0
Web#Code execution#LM Studio integration#MCP
LangBot is a self-hosted AI agent platform for teams that want bots in the messaging apps their customers, coworkers or communities already use. It connects Slack, Discord, Telegram, WeChat and other chat services to models and AI workflows, with a browser dashboard for managing bots across platforms.
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.
17.8KUpdated 2 weeks agoApache-2.0
#Code execution#Hugging Face integration#Human approval
CAMEL is an open-source Python framework for developers and researchers building systems where AI agents work together. Its focus is on agent roles, communication, and behavior across extended tasks, with applications in synthetic training data, task automation, and simulated societies. It uses the Apache 2.0 license.
2KUpdated 2 months agoMIT
#RAG
Text Generator is an MIT-licensed Obsidian plugin for generating ideas, titles, summaries, outlines and paragraphs using your notes as context. It supports local models as well as OpenAI, Anthropic, Google and Hugging Face.