Продуктивность
MyBrain
All-in-one productivity app and AI assistant with Tasks, Notes, Calendar, Diary and Bookmarks.
★ 2,2 тыс. звёздGPL-3.0
Смотреть руководство →memmy-agent — проект с открытым исходным кодом из категории «Локальные LLM» от MemTensor (MemTensor/memmy-agent на GitHub). У него 2 035 звёзд на GitHub и 196 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 30 сентября 2026.
One shared local memory hub so every AI agent remembers the same you.
Set up the local memory hub.
Let it learn your context and preferences.
Link Claude Code, Codex, and others.
Every agent now remembers the same you.
One memory across all your AI agents.
Runs on your machine, under your control.
Remembers you between sessions.
Claude Code, Codex, OpenClaw, Hermes, more.
You own what is stored and shared.
Doubles as your own AI assistant.
Download the source and move into the project folder.
git clone https://github.com/MemTensor/memmy-agent.git
cd memmy-agentEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is one shared hub, so context follows you across tools instead of siloing.
MIT licensed — commercial use allowed.
It runs locally and is fully controlled by you.
Claude Code, Codex, OpenClaw, Hermes, and more; check the docs.
Since you control the hub, you manage what is stored.
All-in-one productivity app and AI assistant with Tasks, Notes, Calendar, Diary and Bookmarks.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
Local-first agent harness with loop, memory, and evals in readable code.
Agent hub that spins up a fresh orchestrator per task, local-first.
A local-first context and memory layer for your AI agents.
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если memmy-agent вам не подходит.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Соседние проекты из категории «Локальные LLM» в каталоге, ближайшие по числу звёзд к memmy-agent — продолжайте изучать полку по обе стороны от него.
StepFun's open 196B MoE model that activates 11B parameters per token, built for fast agentic reasoning.
Generate text inside Obsidian with cloud or local AI providers.
Local API bridge to run Claude and Antigravity inside other coding clients.
Desktop lab for prototyping AI agents — inspect steps, replay failures.
Sandbox for local AI agents so they only touch what they need.
Personal AI agent that takes goals and works alone across your devices.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.