What it is
A terminal-based coding assistant that wraps DeepSeek's AI models with aggressive caching to cut token costs on long development sessions. Reasonix runs agent workflows directly in the command line, maintaining what the vendor claims are 90%+ cache hit rates to reduce API expenses. The 102K monthly visits skew toward cost-conscious developers and software engineers who want DeepSeek's capabilities without the per-token expense of extended coding sessions.
At a glance
Reasonix offers a specialized cache-first architecture built specifically for DeepSeek's API, achieving 90%+ cache hit rates that dramatically reduce costs compared to generic AI coding tools. The terminal-native workflow and DeepSeek-specific optimizations provide clear differentiation from standard ChatGPT interfaces.
Strong evidenceQuality score
Reasonix DeepSeek-native terminal coding agent optimized for long, low-cost sessions.
This score is our editorial judgment, computed automatically from the sources, weights, and dates shown above. It reflects the data we could verify as of August 4, 2026, not a guarantee or statement of fact about Reasonix. Third-party ratings and quotes belong to their original platforms and authors. Thin data lowers our confidence label, and we say so instead of guessing. Work on Reasonix? Dispute any datapoint and we will review it, publish your response, and correct verified errors.
Plans
Open source terminal agent; bring your own DeepSeek API key
Community feedback
Ratings and quoted comments below are aggregated from third-party sources and reflect those users' views, not SearchTools.ai's.
themes inside the Sentiment pillar — not score ingredients
“I'm trying and it goes smooth, it feels faster than using open code”
“I rely on Claude code's plan mode with deepseek v4 pro, and heavily, for my game dev efforts. One of the things I noticed is that reasonix, while snappy and cheaper, had relatively sparse plans and often times this resulted in poor code. I tried digging into session logs and the raw plans I found were similarly simplistic, just a few bullet points basically, rather than implementation and design decisions I get from the cc harness. Had anyone experienced this? Am I just missing some hotkeys and ”
“It's really fast. faster than running deepseek on hermes agent.”
“I installed today, it is very fast, very FAST, I am test its cost low”
“A terminal AI coding agent designed specifically for DeepSeek API's prefix caching mechanism. It uses a cache-first architecture to keep token costs extremely low. Reasonix is a DeepSeek-native terminal coding agent designed around prefix cache stability. In real-world testing, it processed 435 million input tokens in one day for only about $12, with a 99.82% cache hit rate. Four architectural pillars: cache-first conversation loop, R1 reasoning chain reuse, tool-call repair, and cost control. B”
“I went from a less than 5% cache hits with claude code to 90% with reasonix.”
“I love the efficiency of Reasonix and the price that comes with it. If it were any more efficient, DeepSeek would have to pay me instead of the other way around. 😄 That said, I much prefer OpenCode’s richer UI. If anyone here feels the same way, I recently created a Reasonix Plugin for OpenCode and made it available here: https://github.com/drm-nz/reasonix-connector Full setup instructions are included in the README. Enjoy!”
“I am using it since yesterday. On default terminal, the TUI flickered upon every input (keystroke) and output generated by model when it flashed on the screen. Costs have been insanelow low, but since I never used their API anywhere else before, I can't really say if they are lowest here. I had to change my terminal to Ghostty and this flickering problem stopped, but I still feel it to be slow. Claude code runs smooth. Cache generally stays 99% here by the way. They need to make the cli smooth.”
“I'm trying and it goes smooth, it feels faster than using open code”
“I am using it since yesterday. On default terminal, the TUI flickered upon every input (keystroke) and output generated by model when it flashed on the screen. Costs have been insanelow low, but since I never used their API anywhere else before, I can't really say if they are lowest here. I had to change my terminal to Ghostty and this flickering problem stopped, but I still feel it to be slow. Claude code runs smooth. Cache generally stays 99% here by the way. They need to make the cli smooth.”
“I love the efficiency of Reasonix and the price that comes with it. If it were any more efficient, DeepSeek would have to pay me instead of the other way around. 😄 That said, I much prefer OpenCode’s richer UI. If anyone here feels the same way, I recently created a Reasonix Plugin for OpenCode and made it available here: https://github.com/drm-nz/reasonix-connector Full setup instructions are included in the README. Enjoy!”
“Just an observation, where you type prompts it says the model and low/medium etc but on the same bar it says ‘review’. What does that actually mean? I’m thinking it’s similar to Plan/Build when using Opencode but I can’t see where to change it. Just want to make sure I’m using it correctly. Thanks.”
Watch & learn

Deepseek's ~OFFICIAL Code: RIP Claude,Codex! This is CRAZY GOOD!
AICodeKing9 days ago

你的 AI Token 正在燃燒!DeepSeek-Reasonix 的 99% 快取命中率,一年能省下多少錢?
GitCovery10 days ago

Your AI tokens are burning! How much can you save in a year with DeepSeek-Reasonix’s 99% cache h...
DevCovery10 days ago
Capabilities
Helps you write, explain, and fix code directly inside your editor
Provides utilities that help programmers build, test, and ship software faster
The honest take
Distinct themes surfaced across user reviews — each grounded in real review text, ranked by how often it comes up.
Questions
Reasonix is a terminal-based AI coding assistant that runs DeepSeek AI agent sessions with cache optimization. It's designed to solve the cost escalation problem where longer AI coding sessions become increasingly expensive, instead making extended sessions cheaper through a cache-first architecture that achieves 90%+ cache hit rates.
Yes, Reasonix is open source under the MIT license and free to use. However, you need to bring your own DeepSeek API key, so you'll pay DeepSeek's API costs directly. The tool's cache optimization reduces these costs to approximately one-fifth of standard pricing for longer sessions.
Reasonix uses a cache-first loop architecture that maintains byte-identical prefix alignment with DeepSeek's caching system. Instead of reprocessing the entire expanding prompt history each turn like traditional AI agents, it only processes new portions while replaying cached prefixes from previous interactions, achieving 90%+ cache hit rates in long sessions.
Reasonix is available on macOS, Linux, and Windows. You can use it as a CLI/TUI tool, desktop application with visual workspace management, local browser UI through the serve command, or via editor extensions for VS Code and other ACP-compatible editors.
Subagents are specialized AI assistants within Reasonix designed for specific tasks. The tool includes subagents for explore, research, review, and security-review functions, allowing you to delegate particular aspects of your coding workflow to focused AI agents rather than handling everything through the main session.
Reasonix can be installed through multiple methods including npm package, Homebrew, or direct binary downloads. It's distributed as a single Go binary for easy deployment and is available for macOS, Linux, and Windows platforms.
Planning mode is activated using /plan commands and provides structured task breakdown before implementation. This feature helps organize complex coding projects by allowing the AI to create a systematic approach to your development tasks before diving into the actual code generation.
Yes, your code never leaves your machine when using Reasonix. Since you bring your own DeepSeek API key and the tool is open source, you maintain full control over your code and data privacy throughout your AI coding sessions.
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