DeepSeek Reasonix: Native Coding Agent with High Caching and Low Cost

Reasonix is a new terminal-based AI coding agent built natively for DeepSeek models. It's designed around two key constraints: high caching efficiency and low cost — both critical for developers running code generation loops frequently.
Key Details
- Native DeepSeek support — Reasonix is tuned specifically for DeepSeek's architecture, not wrapped around a generic API. This allows optimizations like KV-cache reuse across consecutive requests.
- Aggressive caching — The tool caches intermediate results (prompt embeddings, partial completions) to avoid redundant computation. Early reviews mention “near-instant warm restarts” after the first call.
- Cost — Paired with DeepSeek's newly permanent V4 Pro price discount (from $0.50/M tokens → $0.17/M tokens, per HN thread), Reasonix claims “best-in-class per-request cost” for an agentic coding loop.
- Terminal-native — Runs as a CLI tool (
reasonix --model deepseek-v4-pro). No IDE plugin required. Supports both streaming and batch mode. - Open source — Repository at esengine.github.io/DeepSeek-Reasonix.
📖 Read the full source: HN AI Agents
👀 See Also

SkyClaw: An Open Agent Runtime Written in Rust
SkyClaw is an open-source agent runtime written in Rust with 34 new features across 7 development phases. It includes task checkpointing, SQLite-backed persistent queues, parallel tool execution, and multi-tenancy support.
Claudy: A native macOS wrapper for Claude Code with multi-session, auto account switching, and draft commits
Claudy is a native macOS app built with SwiftUI + SwiftData that wraps Claude Code, adding multi-session management, automatic account switching on rate limits, draft commits for mid-session checkpoints, and a marketplace for Skills, MCPs, and Commands.

cldctrl: Terminal Dashboard for Managing Claude Code Sessions
cldctrl is an npm package that provides a terminal dashboard for launching and managing Claude Code sessions across projects. It reads existing ~/.claude data, auto-discovers projects, and shows token usage with rate limit bars.
Needle: A 26M Parameter Tool-Calling Model Built Entirely Without FFNs
Needle is a 26M parameter function-calling model with no MLPs, achieving 6000 tok/s prefill and 1200 tok/s decode on consumer devices. It beats FunctionGemma-270M, Qwen-0.6B, Granite-350M, and LFM2.5-350M on single-shot tool calling.