Tools tagged with "Hybrid search"

agentmemory gives AI coding agents persistent, searchable context from earlier work. It's for developers who want project decisions, past errors and useful lessons to remain available across sessions and different agents.

Docker Agent runs individual AI agents or teams from configuration files. Developers can use it for coding assistants, research tasks and automation workflows.

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

FalkorDB is a self-hosted graph database for developers building GraphRAG applications and AI agents that retrieve connected facts. It stores entities, relationships and their attributes, with Cypher queries and vector search for finding relevant information. Docker runs the database on your own hardware; a separate hosted cloud service is also available.

localGPT is a self-hosted document chat app for people who want to ask questions about files and summarise them on their own hardware. Its local processing keeps document content and chat data on the machine running the app.

Captain Memo gives developers a shared memory across coding assistants, so project decisions and lessons remain available between sessions and tools. Claude Code, Codex, Gemini CLI, Cursor and other MCP-compatible assistants can access the same corpus.

Edit Mind is a self-hosted AI video knowledge base for editors, creators and people with large footage archives. It helps you find a moment by what someone says or what appears on screen, without remembering the filename. The self-hosted project isn't production-ready and may have incomplete features or bugs.

iAi Personal Memory Engine gives AI assistants persistent memory on your machine. It's for people using coding agents who want past conversations, project details and preferences available across sessions.

Typesense is a self-hosted search engine for developers building site search, product catalogs or AI search over their own data. It combines keyword matching with searches based on meaning.

DocsGPT helps teams search company documents and build AI assistants that answer from those materials. It can run inside your network with local models, including an air-gapped deployment where documents and questions stay within that network.

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.

Guaardvark is a local AI studio for people who want document chat, task automation and media production on their own hardware. It brings those jobs into one interface and coordinates their use of the GPU.

HelixDB is a database for developers building AI agent memory and retrieval-augmented generation (RAG). It keeps entities, relationships, embeddings, and text together so applications can search both content and its connections.

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.

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.

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.

Tiledesk is an AI chatbot and live chat platform for teams handling customer support and internal information searches. Its visual builder lets teams design conversations and automated workflows without writing code.

MemFree is an open-source AI search tool that answers questions using both your own knowledge base and the internet. It's for people who want to search saved documents, bookmarks and web content together, with AI summaries instead of reading each result separately. You can self-host it or use the hosted website.

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.

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.

Inno Agent is a personal AI learning agent for ongoing tutoring and study. It keeps learning goals, misconceptions and study materials available across conversations, with records you can inspect and correct.

Polywise is a self-hosted system for people who want AI agents to work with saved research, notes, and project context. It keeps that material available across conversations so you don't have to explain the same work each time.

AstrBot is an AI chatbot platform for personal assistants, customer support bots and team automation inside messaging apps. You can host it on your own computer or server and choose a local or cloud model backend.

Code Cortex MCP is a local MCP server that helps AI coding agents understand how a codebase fits together. It indexes functions, classes, call paths and service connections, so agents can answer relationship questions without repeatedly searching individual files. It builds on codebase-memory-mcp.

Meilisearch is a search engine for developers adding search and AI retrieval to websites, apps, catalogs or internal data. You can host the engine on your own server or use the separate managed Meilisearch Cloud service.

kotaemon is an open source document chat app for people who want to ask questions across their files and inspect the evidence behind an answer. Developers can also use it to build custom document question-answering applications.

RAG-Anything is a Python framework for developers building question-answering systems over documents that mix prose with visual or structured content. Built on LightRAG, it suits research papers, technical manuals and financial reports where answers depend on figures, tables or formulas.

Milvus is a vector database for developers building AI retrieval, image search and other applications that find related content. It stores embeddings alongside metadata for searching text, images and multimodal information.

QMD searches Markdown notes, meeting transcripts, documentation and knowledge bases on your own machine. It's for people who want to find material by its wording or meaning, and make that search available to an AI agent.

Palace gives AI coding agents persistent memory of project decisions, conventions and fixes. Developers can carry that context between sessions in Cursor, Claude Code, Codex and Claude Desktop.

SemanticFinder helps readers and researchers find passages by meaning in long documents. It runs the search model in your browser, so you can search your own text without sending it to a model server.

AI Notebook is a desktop research notebook for asking questions about your own documents and checking the passages behind the answers. It suits people who want a local NotebookLM alternative with their research and notes in one workspace.

Zengram gives AI agents a shared memory across sessions and machines. It's for people using multiple assistants who want a discovery recorded by one agent to be available to the others.

Infinity is a search database for developers building retrieval-augmented generation (RAG), question answering and recommendation systems. It lets applications combine matches based on meaning with exact text matches and structured filters.