Tools tagged with "Semantic 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.

Codebase Memory MCP maps a repository's structure so AI coding agents can explore dependencies without repeatedly reading whole files. It's for developers using Claude Code, Codex CLI, Cursor or other MCP-compatible clients.

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

OpenMontage is an AI video production engine for creators who want an agent to produce a complete video or handle a specific editing task. It can start with a brief or work with material you already have.

Immich is a self-hosted photo and video manager for people who want to keep their collection on their own server. Its mobile apps and web interface provide access to the same library.

Agent Reach gives AI agents access to online content for research, repository work and social media searches. It's for people using Claude Code, OpenClaw, Cursor, Windsurf or another agent that can run shell commands.

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.

Docmost is a self-hosted team wiki with collaborative editing, spaces, page history, attachments and access permissions. Teams can run the wiki on their own servers or use managed hosting. Its core is AGPL-3.0 licensed; AI search and chat require a separate commercial license.

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.

HomeGallery is a self-hosted photo and video gallery for people browsing a personal media archive without reorganizing their files. It's designed for a single user with some technical knowledge. By default, AI discovery sends preview images to a public analysis API; you can host that API locally instead.

Paxm gives AI coding assistants persistent memory of project decisions, conventions and past work. It's for developers who want later sessions or another coding agent to recover context they've already explained.

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.

Excire Search is a Lightroom Classic plugin for photographers who need to find material in large catalogs and choose between similar shots. Its AI analyzes photos and video clips locally without transferring them to a cloud service.

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.

ColPali is a document retrieval library for developers and researchers building search or retrieval-augmented generation systems. It matches text queries to page images, using visual content alongside text. The colpali-engine package is deprecated, and maintainers recommend Sentence Transformers for new projects and production use.

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.

memU gives connected AI agents a shared memory of preferences, project decisions and learned workflows. It's for people who move between agents or sessions and want useful context to carry into later tasks.

Synaplan is an open-source AI platform for teams that want assistants to answer questions from company files and handle customer conversations. It brings internal knowledge and customer support into a shared system on infrastructure you control.

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.

BotSharp is a C# framework for .NET developers building AI assistants into business applications. It coordinates agents with different responsibilities and keeps track of conversation state.

LibrePhotos is a self-hosted photo manager for people who want to organize and search a photo library on their own server. It scans photos already on your file system and uses AI to help find images without manually tagging each one.

ParadeDB adds search to the Postgres database that holds your application data. It's for developers building search or AI retrieval who want to keep queries and data in one database without synchronizing a separate search service.

Phorminx turns speech into text in Windows apps and keeps a searchable record of meetings. It's for people who want dictation, translated transcripts and answers about a call without sending the conversation to a cloud AI service.

Kaito manages LLM inference, fine-tuning and document retrieval services in Kubernetes. It's for teams that want to run models in their own cluster with less manual work sizing GPU capacity and managing deployments.

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.

Gensim is a free, open-source Python library for developers and researchers working with large text collections on their own machines or servers. It trains models that capture topics and semantic relationships, then uses those representations to find related documents. It runs on Linux, Windows and macOS under the GNU Lesser General Public License v2.1 (LGPL-2.1).

4M is a framework for researchers and developers who want to train and run models that combine images, text and other visual information. A single model can perform vision tasks and generate images from mixed or partial inputs.

Hermes Notes is a self-hosted personal knowledge base for people who want their notes and project work in one connected system. It runs on your laptop or a server you control, with a browser interface and PostgreSQL storage. It's open source under the MIT license and built for personal use or a trusted small group, rather than a public service for unrelated users.

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.

pgvector adds vector similarity search to Postgres for developers building applications that need to find related items. It keeps embeddings alongside application records, so vector searches can use the same database as the rest of your data.

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.

HippoRAG is a Python memory and retrieval framework for developers building LLM applications that need to connect facts across documents. It uses a knowledge graph to find related information for questions that require several pieces of evidence.

Cognee gives AI agents memory across sessions so they can reuse project context, decisions, and lessons from earlier work. It's for developers building agents and teams whose knowledge sits across documents, code, and conversations.