DeepSeek Reasonix
Open source · MIT · a single Go binary A coding agent you can leave running. One local engine, four ways in, terminal, desktop app, browser, or your editor over ACP. Plan mode, permissions, a workspace sandbox and per-turn checkpoints keep a long autonomous run something you can still read and undo. [!IMPORTANT] Community · 加入社区, bilingual Discord for setup help (#help / #求助), workflow showcases, and feature ideas. Config-driven. Providers, the agent, enabled tools, and plugins are all declared in reasonix.toml. No hardcoded models. Multi-model & composable. DeepSeek ships as a preset; any OpenAI-compatible endpoint is a config entry, not new code. Optionally run two models together (executor + planner) in separate, cache-stable sessions. Plugin-driven. MCP servers contribute tools, prompts, and resources; Extension Protocol v1 sidecars can also intercept runtime events, contribute Providers and structured UI, and ship versioned plugin packages. Cache-aware context maintenance. Startup injects a small stable environment summary, stale tool output is snipped/pruned before summary compaction, and the built-in tool schema contract is documented for regression review. Zero-friction distribution. CGOENABLED=0 single binary; cross-compile to six targets with one command. The result is a fully self-contained static binary, nothing to install on the target machine beyond the binary itself. Choose the path that matches how you want to use Reasonix. The CLI/TUI, desktop app, and VS Code extension all use the same local Reasonix engine.
View DeepSeek Reasonix on GitHub
Open source · MIT · a single Go binary A coding agent you can leave running. One local engine, four ways in, terminal, desktop app, browser, or your editor over ACP. Plan mode, permissions, a workspace sandbox and per-turn checkpoints keep a long autonomous run something you can still read and undo.
[!IMPORTANT] Community · 加入社区, bilingual Discord for setup help (#help / #求助), workflow showcases, and feature ideas. Config-driven. Providers, the agent, enabled tools, and plugins are all declared in reasonix.toml. No hardcoded models. Multi-model & composable. DeepSeek ships as a preset; any OpenAI-compatible endpoint is a config entry, not new code. Optionally run two models together (executor + planner) in separate, cache-stable sessions. Plugin-driven. MCP servers contribute tools, prompts, and resources; Extension Protocol v1 sidecars can also intercept runtime events, contribute Providers and structured UI, and ship versioned plugin packages. Cache-aware context maintenance. Startup injects a small stable environment summary, stale tool output is snipped/pruned before summary compaction, and the built-in tool schema contract is documented for regression review. Zero-friction distribution. CGOENABLED=0 single binary; cross-compile to six targets with one command. The result is a fully self-contained static binary, nothing to install on the target machine beyond the binary itself.
Choose the path that matches how you want to use Reasonix. The CLI/TUI, desktop app, and VS Code extension all use the same local Reasonix engine.
DeepSeek Reasonix at a glance
| Stars | 36k |
|---|---|
| Forks | 2.4k |
| Language | Go |
| License | MIT |
| Last update | 2026-09-29 |
| Contributors | 165 |
How to install DeepSeek Reasonix
bash npm i -g reasonix # any OS; pulls the prebuilt native binary
Where DeepSeek Reasonix is listed
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