Инструменты разработчика
DeepSeek-Reasonix
A terminal coding agent built for DeepSeek models — reliable, cache-aware and cheap to run
★ 35,7 тыс. звёздMIT
Смотреть руководство →plandex — проект с открытым исходным кодом из категории «Инструменты разработчика» от plandex-ai (plandex-ai/plandex на GitHub). У него 15 702 звезды на GitHub и 1 176 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 3 октября 2025.
Open-source terminal AI coding agent built for large projects and multi-step, real-world tasks.
Decide what you want built or changed; Plandex suits multi-step work touching many files, and its chat mode can help flesh out the plan first.
Install Plandex with the one-line installer (on Windows, use WSL), which adds the plandex command with no dependencies.
Add your OpenRouter or other provider API key, or connect a Claude Pro/Max subscription when prompted on first run.
cd into your project directory, run plandex, describe the task, then review the sandboxed diff before applying changes.
Handles up to 2M tokens of context directly (about 100k per file) and can index directories of 20M tokens or more using tree-sitter project maps.
AI-generated changes stay in a cumulative diff sandbox, separate from your project files, until you review and apply them, with rollback for debugging.
Go from full-auto mode - loading files, implementing, executing commands and auto-debugging - to step-by-step review when you want control.
Combine models from Anthropic, OpenAI, Google and open-source providers, with curated packs trading off capability, cost and speed, plus context caching.
Every plan update is versioned, with branches to explore multiple paths or compare models, plus Git integration and commit-message generation.
Automatically debugs terminal commands such as builds, linters and tests, and can debug browser apps when Chrome is installed.
Clone the Plandex source if you want to build or inspect it; most users install the CLI directly instead.
git clone https://github.com/plandex-ai/plandex.git
cd plandexInstall Plandex with the official one-line, zero-dependency installer from the README.
curl -sL https://plandex.ai/install.sh | bashMove into your project directory and launch the REPL (pdx for short), then describe your task.
plandexPlandex is developed by plandex-ai and open-source contributors.
The CLI is open source under MIT. You run it in local mode with Docker and your own model-provider keys; the README notes Plandex Cloud is winding down and no longer accepts new users.
Yes, in practice: you supply your own OpenRouter or other provider key, or connect a Claude Pro/Max subscription, and pay that provider for model usage.
Plandex is a terminal-first agent focused on very large projects and multi-step plans, with a diff-review sandbox and plan branching; editor-based tools focus more on inline editing inside an IDE.
Run the one-line installer, cd into a project, type plandex, connect a provider, and describe the task.
A terminal coding agent built for DeepSeek models — reliable, cache-aware and cheap to run
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Другие проекты из категории «Инструменты разработчика» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если plandex вам не подходит.
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Соседние проекты из категории «Инструменты разработчика» в каталоге, ближайшие по числу звёзд к plandex — продолжайте изучать полку по обе стороны от него.
Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Feishu/Lark, DingTalk, Slack, Telegram, Discord, LINE, WeChat …
Convert documentation sites, GitHub repos and PDFs into Claude AI skills and RAG-ready knowledge assets.
Fine-tune and deploy 600+ LLMs and 300+ multimodal models with PEFT or full-parameter training.
Agentic IDE that runs 100+ parallel coding agents in isolated workspaces on your own subscriptions.
Open, event-based protocol that connects AI agents to user-facing apps with streaming and shared state.
Turn domain documents into high-quality LLM fine-tuning, RAG and evaluation datasets through a visual UI.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.