Tools tagged with "Semantic search"

total-agent-memory gives AI coding agents persistent memory of decisions, fixes and project conventions across sessions and repositories. It's for developers who don't want to keep explaining earlier work to Claude Code, Codex CLI, Cursor or another MCP client.

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.

pgvectorscale extends pgvector for developers who want to search large embedding datasets within PostgreSQL. It adds indexing and compression for AI applications that keep vector data in their existing database.

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.

Remembra Relay saves coding session handoffs so developers can switch assistants or resume a project on another machine without reconstructing its progress. The next agent receives a brief of completed work, unfinished tasks and failing checks.

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.

Agentlas OS is an open-source AI agent framework for projects that need specialist teams and shared project context. It runs on macOS, Windows and Linux, with local document indexing, semantic search and memory retrieval. You supply the model. Using a cloud model sends requests to that provider and may incur charges.

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.

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.

ToolHive runs and manages Model Context Protocol (MCP) servers for developers and platform teams that want control over the tools their AI clients can access. It supports individual desktop use and shared deployments on your own infrastructure.

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.

Smart Connections helps writers and researchers find earlier work related to their current Obsidian note. It surfaces relevant material without requiring a search query or links you've already made.

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.

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.

Twinny is an AI coding assistant for developers who want completion and help with their repository inside VS Code, using models on their own hardware or a chosen server.

MindsDB Query Engine gives developers building AI agents one SQL interface for business data and document search. It runs as a standalone server and can also provide data access to MindsHub agents.

Assistant is a self-hosted AI agent for people who want to delegate work by email and receive the results in their inbox. It uses a dedicated mailbox, separate from your personal email, and also accepts tasks through a browser workspace or dashboard. You control how much autonomy it has.

Claude Command Center helps developers keep track of coding agents working across multiple projects. It finds sessions launched in a terminal as well as through the dashboard, and agents keep running when you close it.

Neo4j LLM Graph Builder converts documents and web content into knowledge graphs for people building searchable collections or AI applications with Neo4j. It uses an LLM to identify entities, relationships, and their properties.

BGE Embeddings is a family of models for developers who need to find relevant passages for search or retrieval-augmented generation (RAG). It includes embedding models for finding candidate text and rerankers for assessing how closely those results match a query.

Starcat is a native macOS app for developers who want to find and evaluate repositories they've saved on GitHub. It keeps a local library and lets you choose which repositories enter a private AI knowledge base.

Quivr is a content search and monitoring engine for developers building applications around incoming material and topics they want to follow over time. It's at an evaluation stage, and the project advises against production use because its API may change without notice.

Devo is a coding agent for developers who want to choose their model provider and run the agent on their own machine. Its desktop app and terminal interface handle coding and other engineering tasks that require multiple steps.

QAnything is a local knowledge base for people and teams who want to ask questions about their own documents. It supports offline operation and questions across Chinese and English document collections.

LanceDB is a vector database for developers building AI retrieval applications and teams working with multimodal datasets. Its embedded library can run locally or in your own cloud.

rclip searches folders by what their images contain, without requiring tags or a separate photo library. It's for people who keep image collections on their own computers or servers and want to search them from a terminal.

PixlStash is an image manager for photographers culling shoots, creators reviewing AI images and people preparing datasets. It helps you find relevant pictures and review which ones to keep in large collections.

Marqo Open Source is a self-hosted search engine for developers building document search, product discovery, or retrieval for AI applications. The project is deprecated and no longer receives updates.

llmware is a Python framework for developers building applications that answer questions using their own documents or carry out multi-step AI agent workflows. It focuses on small, specialized models that can run on laptops, edge devices, and self-hosted servers.

GraphRAG is an open-source Python indexing and retrieval pipeline for developers building question answering over their own document collections. It can connect to local models through Ollama proxies, while OpenAI models are its default supported choice. With a remote model provider, text sent for model processing leaves your machine.