DeepSeek TUI

DeepSeek TUI is a terminal-native coding agent built for DeepSeek V4 models, shipping as self-contained Rust binaries with no Node.js or Python runtime required. It gives DeepSeek's frontier models direct access to your workspace — reading and editing files, running shell commands, searching the web, managing git, and orchestrating sub-agents — all through a fast, keyboard-driven TUI. It supports a 1M-token context window, native thinking-mode (chain-of-thought) streaming, and prefix-cache-aware cost efficiency.

Key features include:

• Native RLM (rlm_query) — fans out 1–16 parallel deepseek-v4-flash children for batched analysis and parallel reasoning
• Thinking-mode streaming — watch the model's chain-of-thought unfold in real time as it works through tasks
• Full tool suite — file ops, shell execution, git, web search/browse, apply-patch, sub-agents, and MCP servers
• 1M-token context — automatic intelligent compaction when context fills up; prefix-cache aware for cost efficiency
• Three modes — Plan (read-only explore), Agent (interactive with approval), and YOLO (auto-approved)
• Reasoning-effort tiers — cycle through off → high → max with Shift+Tab
• Session save/resume — checkpoint and resume long-running sessions by UUID or fork at a chosen turn
• Workspace rollback — side-git pre/post-turn snapshots with /restore and revert_turn without touching your repo's .git
• Durable task queue — background tasks survive restarts for scheduled automation and long-running reviews
• HTTP/SSE runtime API — deepseek serve --http for headless agent workflows
• MCP protocol — connect to Model Context Protocol servers for extended tooling
• LSP diagnostics — inline error/warning surfacing after every edit via rust-analyzer, pyright, typescript-language-server, gopls, and clangd
• Skills system — composable, installable instruction packs from GitHub with no backend service required
• Live cost tracking — per-turn and session-level token usage, cost estimates, and cache hit/miss breakdown
• Localized UI — supports en, ja, zh-Hans, pt-BR with auto-detection
• Multiple install paths — npm, Cargo, Homebrew, Scoop, or direct binary download for Linux x64/ARM64, macOS x64/ARM64, and Windows x64