DeepSeek TUI

A terminal-native coding agent for DeepSeek V4 models — with 1M-token context, thinking-mode reasoning, and full tool-use.

npm i -g deepseek-tui

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What is it?

DeepSeek TUI is a coding agent that runs entirely in your terminal. 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.

Built for DeepSeek V4 (deepseek-v4-pro / deepseek-v4-flash) with 1M-token context windows and native thinking-mode (chain-of-thought) streaming. See the model's reasoning unfold in real time as it works through your tasks.

Key Features

• 🌊 Native RLM (new in v0.6) — rlm_query tool fans out 1–16 cheap deepseek-v4-flash children in parallel against the existing DeepSeek client. The model uses it for batched analysis, decomposition, or cheap parallel reasoning — one structured tool call, no external runtime
• 🧠 Thinking-mode streaming — watch DeepSeek's chain-of-thought as it reasons about your code
• 🔧 Full tool suite — file ops, shell execution, git, web search/browse, apply-patch, sub-agents, MCP servers, and more
• 🪟 1M-token context — feed entire codebases; automatic intelligent compaction when context fills up
• 🎛️ Three interaction modes — Plan (read-only explore), Agent (interactive with approval), YOLO (auto-approved). All three can call rlm_query for parallel research
• ⚡ Reasoning-effort tiers — cycle through off → high → max with Shift+Tab
• 🔄 Session save/resume — checkpoint and resume long sessions, fork conversations
• 🌐 HTTP/SSE runtime API — deepseek serve --http for headless agent workflows
• 📦 MCP protocol — connect to Model Context Protocol servers for extended tooling
• 💰 Live cost tracking — per-turn and session-level token usage and cost estimates
• 🎨 Dark & light themes — with a DeepSeek-blue branded palette

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Quickstart

npm install -g deepseek-tui
deepseek

On first launch you'll be prompted for your DeepSeek API key. You can also set it ahead of time:

# via CLI
deepseek login --api-key "YOUR_DEEPSEEK_API_KEY"

# via env var
export DEEPSEEK_API_KEY="YOUR_DEEPSEEK_API_KEY"
deepseek

Using NVIDIA NIM

deepseek auth set --provider nvidia-nim --api-key "YOUR_NVIDIA_API_KEY"
deepseek --provider nvidia-nim

# or per-process:
DEEPSEEK_PROVIDER=nvidia-nim NVIDIA_API_KEY="..." deepseek

Install from source

git clone https://github.com/Hmbown/DeepSeek-TUI.git
cd DeepSeek-TUI
cargo install --path crates/tui --bin deepseek-tui --locked   # requires Rust 1.85+
cargo install --path crates/cli --bin deepseek --locked

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What's new in v0.6.0

🌊 rlm_query — recursive language models as a first-class tool

The model now has direct access to a native recursive-LLM primitive. Inspired by Alex Zhang's RLM work and Sakana AI's published research on novelty search, but trimmed to what an agent loop actually needs: one tool, structured args, no DSL.

// Single child:
rlm_query({ "prompt": "Summarise this 4k-line log: ..." })

// 8 parallel children, indexed result:
rlm_query({
  "prompts": [
    "Review src/foo.rs for race conditions: ...",
    "Review src/foo.rs for input validation: ...",
    "Review src/foo.rs for error-handling gaps: ...",
    "..."
  ]
})

// Promote one call to Pro:
rlm_query({ "prompt": "Hard reasoning here", "model": "deepseek-v4-pro" })

Children run concurrently against the existing DeepSeek client via tokio — no external binary, no Python sandbox, no fenced-block DSL. Returns a single string for one prompt or [i] ... indexed blocks for many. Available in Plan / Agent / YOLO. The cost is folded into the session's running total automatically.

Other changes

• Scroll position survives content rewrites — anchor fallback now clamps to the nearest surviving cell instead of teleporting to the bottom (#56)
• Looser command-safety chains — cargo build && cargo test is no longer blocked outright; chains of known-safe commands escalate to RequiresApproval instead of Dangerous (#57)
• Multi-turn tool calls no longer 400 on thinking-mode models — reasoning_content is replayed across user-message boundaries with a safe placeholder when the round produced none

Full history: CHANGELOG.md.

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Models & Pricing

DeepSeek TUI targets DeepSeek V4 models with 1M-token context windows by default.

Model	Context	Input (cache hit)	Input (cache miss)	Output
deepseek-v4-pro	1M	$0.03625 / 1M*	$0.435 / 1M*	$0.87 / 1M*
deepseek-v4-flash	1M	$0.028 / 1M	$0.14 / 1M	$0.28 / 1M

Legacy aliases deepseek-chat and deepseek-reasoner silently map to deepseek-v4-flash.

NVIDIA NIM hosted variants (deepseek-ai/deepseek-v4-pro, deepseek-ai/deepseek-v4-flash) use your NVIDIA account terms — no DeepSeek platform billing.

*DeepSeek lists the Pro rates above as a limited-time 75% discount valid until 2026-05-05 15:59 UTC; the TUI cost estimator falls back to base Pro rates after that timestamp.

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Usage

deepseek                                      # interactive TUI
deepseek "explain this function"              # one-shot prompt
deepseek --model deepseek-v4-flash "summarize" # model override
deepseek --yolo                               # YOLO mode (auto-approve tools)
deepseek login --api-key "..."                # save API key
deepseek doctor                               # check setup & connectivity
deepseek models                               # list live API models
deepseek sessions                             # list saved sessions
deepseek resume --last                        # resume latest session
deepseek serve --http                         # HTTP/SSE API server

Keyboard shortcuts

Key	Action
Tab	Cycle mode: Plan → Agent → YOLO
Shift+Tab	Cycle reasoning-effort: off → high → max
F1	Help
Esc	Back / dismiss
Ctrl+K	Command palette
@path	Attach file/directory context in composer
/attach <path>	Attach image/video media references

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Modes

Mode	Behavior
Plan 🔍	Read-only investigation — model explores and proposes a plan before making changes
Agent 🤖	Default interactive mode — multi-step tool use with approval gates
YOLO ⚡	Auto-approve all tools in a trusted workspace (use with caution)

All three modes have access to the rlm_query tool for parallel/batched LLM fan-out (see "What's new in v0.6.0" above).

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Configuration

~/.deepseek/config.toml — see config.example.toml for every option.

Key environment overrides:

Variable	Purpose
DEEPSEEK_API_KEY	API key
DEEPSEEK_BASE_URL	API base URL
DEEPSEEK_MODEL	Default model
DEEPSEEK_PROVIDER	Provider: deepseek (default) or nvidia-nim
DEEPSEEK_PROFILE	Config profile name
NVIDIA_API_KEY	NVIDIA NIM API key

Quick diagnostics:

deepseek-tui setup --status    # read-only status check (API key, MCP, sandbox, .env)
deepseek-tui doctor --json     # machine-readable doctor output for CI
deepseek-tui setup --tools --plugins  # scaffold tools/ and plugins/ directories

DeepSeek context caching is automatic — when the API returns cache hit/miss token fields, the TUI includes them in usage and cost tracking.

Full reference: docs/CONFIGURATION.md

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Documentation

Doc	Topic
ARCHITECTURE.md	Codebase internals
CONFIGURATION.md	Full config reference
MODES.md	Plan / Agent / YOLO modes
MCP.md	Model Context Protocol integration
RUNTIME_API.md	HTTP/SSE API server
RELEASE_RUNBOOK.md	Release process
OPERATIONS_RUNBOOK.md	Ops & recovery

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Contributing

See CONTRIBUTING.md. Pull requests welcome!

Not affiliated with DeepSeek Inc.

License

MIT