Reasonix Contributors
A DeepSeek-native AI coding agent for the terminal and desktop, optimized for prefix-cache stability to minimize token costs in long software development sessions.
At a Glance
- Software developers
- AI enthusiasts
- Cost-conscious engineering teams
AI Tools by Reasonix Contributors
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Reasonix
AI Coding Agent for DeepSeek
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Products & Services
A terminal-native AI coding agent engineered for high cache-hit rates in long development sessions.
A visual workspace for managing AI coding sessions, settings, and task approvals.
Editor integration providing Reasonix's agentic capabilities within the VS Code environment via the ACP protocol.
Market Position
Reasonix distinguishes itself from other agents like Claude Dev or Cursor by its deep optimization for DeepSeek's prefix caching, making it significantly more cost-effective for long-running terminal sessions.
Leadership
Founders
esengine (YHH)
Lead maintainer of the DeepSeek-Reasonix project; developer with experience in ECS frameworks and AI tooling.
SivanCola
Core maintainer of DeepSeek-Reasonix; focused on AI coding, developer tooling, and automation.
Executive Team
esengine (YHH)
Lead Maintainer
Primary developer of the Reasonix engine and community leader.
SivanCola
Core Maintainer
Key developer responsible for various integrations and the VS Code extension.
Founding Story
Reasonix was created to address the problem of high token costs in long AI coding sessions. By ensuring the prefix stays byte-identical, it leverages DeepSeek's prefix cache to achieve 90%+ hit rates, reducing costs to approximately 1/5 of standard usage.
Business Model
Revenue Model
Open Source / Community-driven development; no direct revenue model beyond open-source contributions.
Pricing Tiers
Open-source project; users provide their own DeepSeek API keys.
Target Markets
- Software developers
- AI enthusiasts
- Cost-conscious engineering teams
- Software development
- Code refactoring
- Automated testing
- Agentic software engineering
- Open-source developer community