Инструменты разработчика
pi_agent_rust
A native Rust port of the Pi coding agent: single binary, zero unsafe code, and hardened extensions.
★ 1,9 тыс. звёздMIT
Смотреть руководство →kimi-code — проект с открытым исходным кодом из категории «Инструменты разработчика» от MoonshotAI (MoonshotAI/kimi-code на GitHub). У него 7 801 звезда на GitHub и 1 280 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 8 октября 2026.
Kimi Code CLI — Moonshot's terminal coding agent: single-binary TUI with video input, subagents and MCP.
Make sure you have Kimi/Moonshot access for the models the CLI drives, and decide which projects and MCP servers your sessions will use.
Clone MoonshotAI/kimi-code from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.
Install with the one-line installer script for macOS/Linux (a PowerShell installer is provided for Windows) — no Node.js setup needed for the released binary.
Start the CLI in a project, run /mcp-config if you need tools, dispatch a small coding task, and try a subagent for exploration.
Install with one command — no Node.js setup, PATH juggling or global module conflicts — with a TUI ready in milliseconds.
Drop a screen recording or demo clip into the chat and let the agent watch what is hard to describe in words.
Dispatch coder, explore and plan subagents in isolated contexts while the main conversation stays clean.
Add, edit and authenticate MCP servers conversationally with /mcp-config instead of hand-editing JSON.
Install skills, MCP servers and data sources from a marketplace or any GitHub repo, with each install's trust level shown up front.
Lifecycle hooks gate risky tool calls, audit decisions or trigger notifications; kimi acp drives sessions from Zed, JetBrains or other ACP clients.
Get the source from the official GitHub repository for kimi-code.
git clone https://github.com/MoonshotAI/kimi-code.git
cd kimi-codeRun the official installer for macOS or Linux as the README's install section shows.
curl -fsSL https://code.kimi.com/kimi-code/install.sh | bashLaunch the CLI in your project and begin an agent session; use /mcp-config inside it to add MCP servers.
kimi # see README quick start for the exact launch commandextract-llms-docs extracts documentation for AI agents from any site with llms.txt support.
MoonshotAI, through the MoonshotAI/kimi-code repository, with docs at kimi.com/code/docs.
Yes — the project is open source under the MIT license as recorded for this listing. You can use, modify and distribute it under the MIT terms.
The CLI drives Kimi models, so you need Moonshot/Kimi account access for model usage; the CLI itself is free and MIT licensed.
It competes on the same turf — terminal agent, tools, subagents — but is built around Kimi models, with distinguishing touches: single-binary install, video input, conversational MCP configuration and ACP editor integration.
Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — start the CLI in a project, run /mcp-config if you need tools, dispatch a small coding task, and try a subagent for exploration.
A native Rust port of the Pi coding agent: single binary, zero unsafe code, and hardened extensions.
A coding agent with the IDE wired in — LSP, debugger, subagents and code review in your terminal
Alibaba's open-source terminal coding agent for Qwen models — a Gemini CLI-style workflow, free to run
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Другие проекты из категории «Инструменты разработчика» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если kimi-code вам не подходит.
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Соседние проекты из категории «Инструменты разработчика» в каталоге, ближайшие по числу звёзд к kimi-code — продолжайте изучать полку по обе стороны от него.
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Gentle-AI configures the AI coding agents you already use: Claude Code, Cursor, OpenCode, Codex, Pi, and more. Choose persistent memory, Organic-Driven Devel…
Source control for agents — run coding agents side by side, track changes and query their history.
Repowise — codebase intelligence: health scores, auto-docs, git analytics and dead-code detection via MCP.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.