Автоматизация
mcp
Mcp — official supadata mcp server - adds powerful video & we, open-source.
★ 64 звездыMIT
Смотреть руководство →agentdock — проект с открытым исходным кодом из категории «Локальные LLM» от uvwt (uvwt/agentdock на GitHub). У него 1 161 звезда на GitHub и 143 форка, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 4 октября 2026.
Secure MCP runtime letting AI agents operate your local machines.
Start with the official docs site.
Deploy AgentDock on your machines.
Link laptops, servers, and containers.
Let MCP agents operate through the runtime.
Agents act through a guarded MCP layer.
Orchestrate machines, servers, containers.
Agents can drive container workflows.
Built for real infrastructure tasks.
Single-binary deployment.
Free for commercial use.
Download the source and enter the folder.
git clone https://github.com/uvwt/agentdock.git
cd agentdockCompile the Go runtime.
go build -o agentdock ./...Launch it; see docs for device pairing.
./agentdock --helpA secure MCP runtime for AI agents to operate local machines, servers, and containers, at uvwt/agentdock.
The runtime is designed as the guardrail layer; review its security docs before exposing anything.
Local machines, servers, and containers via a Go binary.
Yes. Apache-2.0 licensed.
On the official docs site linked from the repo.
Mcp — official supadata mcp server - adds powerful video & we, open-source.
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
MCP agent toolkit that makes AI-written code more deterministic
Local codebase intelligence CLI and MCP for coding agents.
Local code-intelligence MCP server and CLI for coding agents.
Local-first personal knowledge layer for AI agents.
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если agentdock 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 agentdock — продолжайте изучать полку по обе стороны от него.
Pack and deploy local AI agents designed for your team in minutes.
Local-first markdown editor that coding assistants can drive directly.
Go-built AI gateway unifying many providers with routing and guardrails.
A utility for clawBio - The first bioinformatics-native AI agent skill library.
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
Local-first privacy guard that strips PII before documents reach an LLM.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.