Локальные LLM
Ollama
The simplest way to run open language models on your own machine.
★ 182,1 тыс. звёздMIT
Смотреть руководство →getspecstory — проект с открытым исходным кодом из категории «Локальные LLM» от specstoryai (specstoryai/getspecstory на GitHub). У него 1 345 звёзд на GitHub и 90 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 2 октября 2026.
Turn your AI coding chats into reusable skills with IDE extensions.
Add the SpecStory extension to your IDE or terminal agent from the README links.
Let it read your past agent conversations stored locally on disk.
Repeated workflows get packaged into reusable skills automatically.
Push your history and skills to the cloud so every device shares them.
Works with Claude Code, Codex, Copilot, Cursor, and terminal agents.
Turns chat history into reusable, invocable agent skills.
History stays on your machine; cloud sync is optional.
Small, fast native backend behind the extensions.
Carry conversations and skills between machines.
Report bugs and requests from inside the project.
Download the source and move into the project folder.
git clone https://github.com/specstoryai/getspecstory.git
cd getspecstoryCompile the Go backend from source.
go build ./...Install the matching IDE extension per the README, then launch the backend binary.
# see README for the extension links and launch flagsIt is an open-source project at specstoryai/getspecstory with 90 forks. Check the repo contributors and recent commits for maintenance activity.
Yes. It is Apache-2.0 licensed, so commercial use is allowed with attribution.
No. The design is local-first; cloud sync only happens if you enable it.
Claude Code, Codex CLI, Copilot Chat, Cursor, and other terminal agents via the extensions.
It processes your conversation history and packages repeated patterns into reusable agent skills.
The simplest way to run open language models on your own machine.
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/
Write an agent skill once, sync it to 32 AI coding tools.
Qwen3-Coder - Alibaba's open code model series for agentic coding, up to 1M tokens of context
Code-context-engine, in Python — built for save 94% on ai coding tokens. index your cod...
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если getspecstory 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 getspecstory — продолжайте изучать полку по обе стороны от него.
Run local LLMs like Llama and DeepSeek right inside your web browser.
Offline inference engine for art.
Lightweight inference engine for running LLMs efficiently on any device.
A local workbench for multi-agent software development.
Agent hub that spins up a fresh orchestrator per task, local-first.
Cloud-native runtime for building and running agentic AI in production.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.