Tools tagged with "Knowledge graphs"

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.

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.

SilverBullet is a knowledge workspace for personal notes, shared wikis and project documentation. It keeps your writing in plain Markdown files and lets you build connections and collect information across pages.

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.

Yuxi is a self-hosted AI agent platform for teams that need answers from their documents and agents that can carry out multi-step work. Its browser workspace brings knowledge sources, task progress and generated files into the same conversation.

Nowen Note is a self-hosted note app and knowledge base for individuals and teams who want to keep documents on their own server or NAS. Writing, connected notes and task management share one workspace.

Potpie's open-source CLI gives developers and coding assistants a local store of project context, backed by a daemon and a browser graph explorer. It's for teams that need agents to understand code alongside engineering decisions and project history. With Claude Code’s standard cloud connection, prompts and model outputs travel to a remote model provider over the network.

RESTai is a self-hosted AI platform for developers and teams building document assistants, agents and AI services for other applications. Its web interface manages projects with separate models, prompts and tools, plus a chat playground for testing them.

Frona is a self-hosted AI assistant for people who want agents to carry out tasks through chat with controlled access to files, networks and accounts. Agents can work independently or delegate parts of a task to other agents.

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.

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.

Revornix is an AI knowledge workspace for people who collect articles, research papers and recordings and want to ask questions across their library. It connects saved material in a personal knowledge graph and uses those relationships to inform its answers.

LightRAG is a self-hosted framework for developers building AI assistants that answer questions across documents. It connects related facts across files, including material where relationships matter, such as legal and financial records.

Row-Bot is a local AI assistant for people who want to research, create documents and automate work on their own computer. It combines conversations with memory and agents that can continue working on longer tasks.

Project Orchestrator coordinates AI coding agents for developers working across tasks or related repositories. It gives agents a shared record of code, plans and decisions so each task can draw on earlier work.

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.

Jenny is a personal AI agent for Android that remembers context across conversations and handles tasks while the screen is off. It's for people who want a persistent assistant on their main phone or a spare Android device.

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.

Engram keeps project knowledge between coding sessions so developers don't have to repeat past decisions, bug fixes, and conventions to their AI agent. It works with existing coding assistants through MCP.

Understory gives AI agents persistent knowledge across sessions in Markdown files you can read, edit, and track in Git. It's for people who want their agents' memory accessible outside a chat history.

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.

AutoFlow is a conversational knowledge base for teams that want visitors to ask questions about their product or documentation. It uses Graph RAG, which combines knowledge graphs with retrieval of relevant content for AI answers.

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.

NoteDiscovery is a note-taking app for personal wikis, technical notes and small teams that want to keep their knowledge base on their own computer or server. It stores notes as ordinary Markdown files, so you can bring in an Obsidian vault or use the same files in other editors.

Context+ is a local MCP server for developers who want coding assistants to find relevant code and understand the effects of a change across a large project. It works with Claude Code, Cursor, VS Code, Windsurf and OpenCode.

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.

Prismos AI is a desktop assistant for people working with private documents and technical files. It uses local Ollama models to answer questions and retain knowledge for later conversations.

CocoIndex is an open-source AI indexing framework for developers processing codebases and documents on their own hardware. Its code indexing example uses sentence-transformers for embeddings and writes to pgvector or LanceDB, giving it a concrete role in preparing searchable context for agents and LLM apps.

MCP Reference Servers gives developers examples for connecting AI applications to tools and data. Maintained by the MCP steering group, these are educational implementations, not production-ready servers.

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.

Kuku is a Markdown workspace for people who want a personal wiki with AI assistance while keeping their notes in ordinary local files. Its macOS app works with a folder of notes that other Markdown tools can also read.