Tools tagged with "RAG"

Qube is a desktop AI assistant for people who want to chat with models and work with private documents on their own hardware. It combines a document library with persistent memory and research tools that provide citations you can inspect.

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.

LangChain4j is a Java library for building chatbots, assistants and AI agents that use local models through Ollama. It runs within JVM applications, while Ollama handles model inference on your hardware using a CPU or GPU. You can also connect to OpenAI or Google Vertex AI, in which case model requests go to the remote provider.

PocketFlow is a Python framework for developers building AI agents and workflows with their own model connections. Its utility examples include an Ollama function for local LLM calls. Developers supply that function rather than using a built-in model wrapper. Cloud API examples send model requests to their providers. FastAPI examples show chat applications with streamed responses and background jobs.

Askimo is an AI desktop app for people who want to ask questions about their files and delegate work from the same place they chat. It supports local LLM backends and cloud providers, including Ollama, LM Studio, OpenAI, Claude and Gemini.

PyTerrier is a Python framework for researchers and developers building search systems or the retrieval part of a RAG application. It builds on Terrier and lets you combine retrieval and reranking components into pipelines, then compare their search effectiveness on standard datasets.

Marginalia is a research agent for people whose papers, notes and working files are spread across a mixed document library. It reads relevant parts of the original files before writing answers with citations.

Speakr is a self-hosted transcription and note-taking app for people who need to revisit meetings, interviews or lectures. It pairs recordings with searchable transcripts and AI summaries.

HyperResearch is a research agent for Claude Code and OpenAI Codex that produces cited reports and keeps sources for later questions. It's for researchers who want to review the evidence behind a report and reuse their collected material.

GrapeRoot is a local MCP context tool for developers using AI coding assistants on projects that require repeated file exploration. It selects relevant code before each prompt reaches the assistant and remembers earlier work.

RepoRelay makes Git repositories searchable by AI coding assistants across projects and versions. It's for developers who want a shared code index on their own infrastructure, accessible from different editors.

LLM Wiki is a desktop AI knowledge base for people building a research library or personal reference collection. It creates lasting, linked pages from your documents and updates them as your sources change.

Harbor helps people experiment with local LLMs by connecting model backends, chat interfaces and supporting services. Its CLI and companion app manage those connections in a shared development environment.

JARVIS RD Assistant is an open source, self-hosted workspace for researchers who want to search scientific literature and trace AI-generated answers back to papers. It runs on your own hardware with Ollama and connects literature review with PDF annotation, learning cards and research projects. It uses the Apache 2.0 license.

ZettaBrain RAG is a self-hosted document assistant for individuals and small teams working with policies, contracts and internal manuals. It helps them find answers and draft documents from files they already keep on their own infrastructure.

Codanna helps developers and AI coding agents explore a repository and assess which code a change could affect. It connects code search with function relationships, so an assistant can get context around a match in one response.

Memvid gives AI agents persistent memory in a portable file. It's for developers who need agents to recall conversations or search documents without running a separate database server.

Surf is an AI notebook for people researching across webpages, videos and documents. It brings source material and writing into one workspace so you can ask questions about what you've collected while taking notes.

LLPhant is a PHP framework for developers adding AI capabilities to Symfony and Laravel applications. It supports local model services and cloud providers, so you can choose where model requests run.

ScribeDog is a Markdown editor for writers and note-takers who want AI help with documents they keep in their own folders. It shows formatted content while saving plain Markdown files that other editors can open.

wigolo gives AI agents web access from a server on your own machine. It's for developers who want coding assistants or self-hosted agents to gather web evidence and reuse what they've already fetched.

LocalAI is a self-hosted AI runtime for developers and teams that want to run models on their own hardware. It brings language, speech, vision and media generation into one server that existing AI applications can connect to.

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.

Vespa is an AI search platform for developers building search, RAG and recommendation applications over large datasets that change continuously. It retrieves candidate results and evaluates their relevance with machine-learned models within the same platform.

PersonalClaw is a self-hosted AI agent for one person who wants chat, ongoing tasks and personal knowledge in one web dashboard. It runs on Linux and macOS, with Docker support that also covers Windows. It's open source under MIT and is currently pre-1.0, with breaking changes expected. A one-time download supplies a tiny CPU model for offline chat without tools. Autonomous tool work needs your own Ollama model or a provider app.

Bisheng is a self-hosted AI application platform for teams working with business documents and processes. It supports tasks such as document review, support ticket assistance and fixed-layout report generation, including workflows that need human judgment during execution.

Open Notebook is an alternative to Google's NotebookLM for researchers, students and professionals working with their own materials. It brings research and notes together while letting you choose what context an AI model can access.

Memmy Agent is a local memory hub for people who switch between AI assistants and want earlier decisions and project context available in the next conversation. It stores personal memory on your device by default. Direct agent tasks support your own credentials for a chosen model API. Model processing depends on the configured service or provider.

Mastra is a TypeScript framework for developers building self-hosted AI agents and applications with local models through LM Studio. It supports gpt-oss, Qwen3 and DeepSeek through an OpenAI-compatible model server. The framework can also call OpenAI, Anthropic and Gemini, which send model requests to those remote providers.

SoloMD is a Markdown editor for writers, researchers and developers who want plain text notes with AI assistance. It combines a Typora-style writing interface with tools for searching a note collection and letting agents work on it.

EverOS is a Python library and memory runtime for developers building agents that need context across sessions and applications. It keeps conversations, files and task histories in readable Markdown that you can edit and version with Git.

PipesHub connects company knowledge to AI search and agents for teams whose files and conversations sit across business apps. It can also supply that context to coding assistants and custom applications.

M Flow is a self-hosted memory engine for developers whose AI agents need to recall past conversations and work preferences. It runs in Python or Docker and supports Ollama for local model use, alongside providers such as OpenAI and Anthropic. Choosing a cloud provider sends model requests to that service.

Memind gives AI agents long-term memory for projects, user preferences and past tasks. Developers can use it to carry context between sessions while keeping links to the material each memory came from.