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Reasonix

Terminal-native coding agent built exclusively around DeepSeek's prefix cache to cut long-session token costs to roughly a fifth.

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Product Overview

What is Reasonix?

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Reasonix is an open-source coding agent designed to run natively in the terminal and communicate directly with DeepSeek's API. Unlike general-purpose agents that resend a growing prompt at full price each turn, Reasonix structures its conversation history as append-only and byte-identical, letting DeepSeek's prefix cache absorb most of the repeated context. This architectural choice pushes cache hit rates above 90% on long sessions and shrinks input-token billing to about one-fifth of typical costs, making extended, multi-file coding sessions far more affordable to run.


Key Features

  • Cache-First Architecture

    Append-only session history stays byte-identical to maximize DeepSeek's prefix cache, sustaining 90%+ hit rates and cutting input-token costs to roughly one-fifth.

  • Single Go Binary

    A CGO-free binary cross-compiled for macOS, Linux, and Windows on both amd64 and arm64, requiring no Node runtime to install or maintain.

  • First-Class MCP Support

    Connects to external tool servers via stdio, SSE, or streamable HTTP, merging their capabilities into one unified, prefixed tool registry.

  • Plan Mode and Sandboxing

    Write access stays confined to the workspace, and an optional read-only plan mode gates sessions until changes are explicitly approved.

  • Subagents and Skills

    Built-in explore, research, review, and security-review subagents work alongside Markdown-based skill scripts with isolated tool access.

  • Terminal or Browser UI

    Run entirely from the command line, or launch a local browser interface with approvals, goal tracking, todos, and cost balance views.


Use Cases

  • Long-Running Codebase Refactors : Developers can keep extended sessions open across large repositories without costs escalating turn after turn.
  • Cost-Sensitive AI Coding : Teams relying heavily on DeepSeek can slash API spend on repetitive, context-heavy coding tasks.
  • Secure Automated Coding Tasks : Plan mode and workspace sandboxing let users review AI-proposed changes before anything is written to disk.
  • Tool-Augmented Development : MCP integration lets developers plug in external servers and custom tools directly into the agent's workflow.
  • Remote or Collaborative Sessions : The local web UI with token-based auth allows sharing a running session over a tunnel or remote port.

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