ai-agent

DeepSeek-Reasonix: Boost Terminal Coding with a 36k+ Star AI Agent

Accelerate development by running DeepSeek-Reasonix in your terminal—an AI coding assistant that stays stable with prefix-cache, ideal for founders building fast.
advanced⏱ 30 minutes💵 Free (open-source)
35,775 stars+35★ this week2,449 forksGoGuide quality 9/10 · reviewed Sep 29Updated 10/13/2026100% free · open source
What it is

Run a high-performance AI code automation tool in the terminal.

Real use case example

"A founder, Alex, wants to automate the process of generating changelogs for new pull requests on their GitHub repository. They install DeepSeek-Reasonix, create a simple script that uses the prefix-cache stability, and leave it running in the terminal. Now, every time a new pull request is opened, the script generates an updated changelog and sends a notification to the development team."

Best insideCodex CLISelf-hostedAny AI Client
When to use it
  • •When you need to automate repetitive coding tasks
  • •When you want to accelerate your development process with AI-powered suggestions
  • •When you're working on a project that requires high-performance and stability
Ready-to-paste prompt
deepseek --prefix-cache -- lang=go func main() { /* generate a simple web server */ }
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/deepseek-reasonix && curl -fsSL https://workflowstacks.com/api/skills/deepseek-reasonix/claude-skill -o ~/.claude/skills/deepseek-reasonix/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How DeepSeek-Reasonix: Boost Terminal Coding with a 36k+ Star AI Agent works
Codeflow
Free to inspect

DeepSeek-Reasonix: Boost Terminal Coding with a 36k+ Star AI Agent is a very large Go project (~763k lines across 3447 code files, plus 704 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~763k lines · 3447 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Go
Needs API keys (.env)
Go 70%TypeScript 22%CSS 3%Python 1%JavaScript 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    CLAUDE.md
    The instructions the AI actually follows
  3. 3
    cmd/e2ebench/main.go
    Where the program starts running
  4. 4
    go.mod
    Dependencies and the commands it exposes
  5. 5
    .env.example
    The API keys and settings you must provide
What's in each folder
internal/Core code — the actual logic2212 files
workers/Backend / API101 files
cmd/Command-line entry points71 files
site/Frontend / UI59 files
docs/Documentation115 files
desktop/Folder1205 files
benchmarks/Evaluations & benchmarks812 files
scripts/Helper scripts67 files
READMEHas testsDocumentedCI checksMIT licenseUpdated this month
Quick Actions
Details
Creator
esengine
Language
Go
Category
ai-agent
Published
4/21/2026

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