Локальные LLM
thClaws
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
★ 1,2 тыс. звёздApache-2.0
Смотреть руководство →pasteguard — проект с открытым исходным кодом из категории «Локальные LLM» от sgasser (sgasser/pasteguard на GitHub). У него 761 звезда на GitHub и 40 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 25 августа 2026.
AI gets the context.
Clone sgasser/pasteguard and move into the project folder.
Install Node dependencies with npm (or your preferred package manager).
Choose a local model or add a provider API key.
Run prompts and keep everything under your control.
Integrates with Anthropic's Claude models.
Lives in your browser as an extension.
Compatible with ChatGPT-style models.
Pairs with Claude for its AI features.
Works with OpenAI's Codex coding agent.
Focused on data protection as a core part of the project.
Download the source and move into the project folder.
git clone https://github.com/sgasser/pasteguard.git
cd pasteguardSet up what the project needs to run.
npm installStart the app — the README has the exact command and flags.
npm run dev # or npm start — see package.jsonApache-2.0 licensed — permissive, with a patent grant.
The app itself is free; cloud models need your own API key and are billed by the provider. Local models cost nothing to run.
It is designed to keep data on your machine or your server. Check the docs for any optional cloud features.
Clone the repo and run npm install — the README covers the rest.
The GitHub repo's issues and discussions are the main support channel.
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
Dreaming explorable worlds: local AI assistant.
[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety
Cut AI context cost with reversible, byte-exact compression.
Qwen3-Coder - Alibaba's open code model series for agentic coding, up to 1M tokens of context
Open bilingual (Chinese-English) 6B chat LLM with 32K-context variant and low-memory INT4 inference.
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если pasteguard 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 pasteguard — продолжайте изучать полку по обе стороны от него.
Agent-native control plane for ComfyUI — generate media in plain chat.
Local code-intelligence MCP server and CLI for coding agents.
Check if your GPU can fine-tune an LLM — memory estimates and LoRA recipes.
Rustunnel, in Rust — built for self-hosted, secure tunnel server in rust. expose local.
Local-first dashboard of tokens, models, and cost for coding agents.
ChatGPT for your home, running on a Raspberry Pi.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.