ИИ-агенты
hindsight
Agent memory that learns — so your agents get smarter over time.
★ 47,0 тыс. звёздMIT
Смотреть руководство →graphiti — проект с открытым исходным кодом из категории «ИИ-агенты» от getzep (getzep/graphiti на GitHub). У него 31 541 звезда на GitHub и 3 240 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 7 октября 2026.
Real-time knowledge graphs that give agents a memory with structure.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Ingests events into a living knowledge graph.
Tracks how facts and relationships change.
Knows when two mentions are the same thing.
Pairs structured recall with retrieval pipelines.
Integrates into Python agent stacks.
The engine behind a production memory layer.
Download the source and move into the project folder.
git clone https://github.com/getzep/graphiti.git
cd graphitiIsolate dependencies, then install requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtLaunch using the entry point shown in the README.
python -m graphiti # check README for the exact commandIt is an open-source project at getzep/graphiti with 3240 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — Apache 2.0 allows commercial use and modification. Keep the license and notice files, and note it includes a patent grant.
Vector DBs retrieve similar text; Graphiti builds a temporal knowledge graph — entities, relationships, and how they change.
Graphiti is the graph engine behind Zep's memory layer; they're sibling projects from the same team.
Clone the repo and follow the README quickstart — the docs at https://help.getzep.com/graphiti walk through setup.
Agent memory that learns — so your agents get smarter over time.
Give your coding agents a persistent memory that survives every session.
Tutti — a real-time shared workspace where people and multiple AI agents build in tune, sharing context, files, apps and tasks
The open-source memory layer for autonomous agents — knowledge-graph memory that emulates human memory
Stream's open Vision Agents — build real-time voice and vision agents with any model or video provider.
Honcho — Plastic Labs' memory library for stateful agents that learn about their users over time.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если graphiti вам не подходит.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к graphiti — продолжайте изучать полку по обе стороны от него.
Open-source AI memory that gives agents persistent long-term recall.
The memory API that gives AI apps instant, lasting context.
Build and run agents you can see, understand and trust — framework plus a visual agent service
A lightweight, container-isolated personal AI agent for WhatsApp, Telegram, Slack and more
GitHub's official MCP server — let AI tools work with repos, issues and pull requests
Over a thousand tool integrations so agents can turn intent into action.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.