Tools tagged with "Knowledge graphs"

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.

sage-wiki turns a document collection into a linked wiki and knowledge graph for researchers, teams, and AI agents that need reusable knowledge across tasks.

OKF Agent Memory gives AI coding agents persistent project knowledge across sessions. It's for developers who want agents to retain architectural decisions and project constraints without loading the entire knowledge base into every prompt.

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.

CodeFuse ChatBot is a self-hosted AI assistant for developers and DevOps teams who want answers grounded in their own code repositories and documentation. It combines repository analysis with agents that can use tools and execute code in a sandbox, covering work across design, coding, testing, deployment and operations.

MemOS gives AI agents persistent memory across conversations and tasks. Developers can use it for assistants that recall preferences, support history or earlier work, with on-device, self-hosted and hosted storage options.

Semantica is a Python toolkit for teams building AI systems that need shared context, traceable decisions and policy checks. It connects facts and decisions to their evidence in queryable knowledge graphs.

Zep Community Edition is a self-hosted memory service for developers building AI agents and conversational assistants. It turns chat history into connected facts so an assistant can recall context across conversations and distinguish current preferences from older ones.

ai-memory keeps project context for developers who switch coding assistants or machines. It preserves unfinished work, failed approaches and open questions so the next session can pick up the task.

Atlas Note combines a self-hosted note library with AI search and answers that cite your notes. It's for people keeping meeting records, project notes or personal reference material who want to find related information without remembering exact wording. The browser interface runs on your own Docker-hosted server, and the project is open source under the MIT license.

RedAmon is an AI penetration testing framework for security teams testing systems they're authorized to assess. It connects attack-surface discovery, exploit testing and code fixes in one self-hosted workspace.

Smart Second Brain is an Obsidian plugin for people who want to find and work with information across their notes. It connects search and a topic graph with an AI assistant that can use your vault as context.

GLiNER is a Python framework for extracting named entities from text using small models that run locally on CPUs and consumer hardware. It's for developers building document processing, personal data detection or search systems who need to choose their own entity types without training a model for each task.

OpenFang runs recurring AI tasks on your own machine and reports their results to a desktop dashboard. It's for people who want research, monitoring or business automation to continue on a schedule without starting each job in chat.

npcpy is a Python library for developers and researchers building AI agents and applications with language models. It supports local LLM backends as well as cloud providers, so projects can choose where model requests run.

Bitterbot is a personal AI agent for people who want an assistant that remembers ongoing work across conversations. It runs on your own machine and can keep working between conversations while the machine is on.

Open Glean is a self-hosted AI workspace for searching files, notes, saved webpages and knowledge synced through Hydra DB connectors. Its browser app runs on your machine or server, including in Docker, but retrieval uses the remote Hydra DB API by default and requires a Hydra key. You can change the Hydra backend endpoint. Local answer models require explicit enablement and are disabled by default.

OpenViking is a self-hosted context database for developers who want AI agents to retain preferences and task experience across sessions. Its open source server runs on your own machine or server, including Docker deployments. It needs embedding and vision-language models, with support for local Ollama and cloud providers such as OpenAI and Volcengine; self-hosting the database alone doesn't keep model requests local.

ReMe gives AI agents lasting memory across conversations. It's for developers who want coding assistants or personal agents to retain useful facts, preferences, and procedures in files they can inspect and edit.

Alfred Black is a self-hosted AI agent for people who need help tracking messages, tasks and ongoing commitments. It runs continuously and brings related information together so you can review a concern without piecing together scattered threads.

MemMachine gives developers building AI agents a way to remember earlier conversations and user preferences. Its memory persists across sessions, agents and model changes, so user history can carry over when an application switches models.

taOS is a self-hosted AI agent platform for people who want to run assistants on their own computers and keep their conversations, files, and memory there. It brings agent management and local model access into a browser-based desktop.

Code Review Graph helps developers review changes with AI coding assistants without repeatedly supplying an entire repository. It keeps a local map of code relationships and returns the context relevant to a change or question.

OneRAG is a self-hosted RAG framework for developers building chatbots that answer questions using their own documents. It combines document retrieval and AI answers, with replaceable components for different models and search needs.

CAMEL is a Python framework for developers and researchers building AI agent teams with models running locally through Ollama or through remote providers. Its Ollama integration connects agents to a local model service; choosing OpenAI instead sends model requests to OpenAI and requires an API key. The framework is open source under Apache 2.0.

SwarmVault is a self-hosted knowledge base for people organizing research, notes or code documentation for themselves and AI agents. It turns collected sources into a persistent Markdown wiki with connections you can inspect.

OpenTutor is a local AI learning workspace for students who want to study their own course materials with a tutor that adjusts to their progress. It targets individual study rather than shared classroom use.