Reasonix

Reasonix is a DeepSeek-native AI coding agent for the terminal, engineered around prefix-cache stability so you can leave it running. It is a config- and plugin-driven harness shipped as a single static Go binary — no Node, no Python, no runtime to install — tuned so that long sessions stay cheap on DeepSeek's token pricing.

Key Features

• Single Go Binary: CGO-free static binary, cross-compiled for darwin/linux/windows × amd64/arm64. The only dependency is a TOML parser.
• Prefix-Cache Tuned: Stable environment summary at startup, stale tool output pruned before compaction, and append-only prompt structure keep the KV-cache hit rate high — long autonomous runs stay affordable.
• Config-Driven: Providers, agents, tools, and plugins are all declared in reasonix.toml. No hardcoded models; any OpenAI-compatible endpoint is a config entry.
• Multi-Model & Composable: DeepSeek ships as a preset; optionally run two models together (executor + planner) in separate, cache-stable sessions.
• Plugin-Driven: MCP servers contribute tools, prompts, and resources; Extension Protocol v1 sidecars can intercept runtime events and ship versioned plugin packages.
• Full Tool Suite: readfile, writefile, editfile, movefile, bash, ls, glob, grep — with per-call permission policies (allow/ask/deny).
• Safety & Control: Plan mode (read-only), permissions, workspace sandbox, and per-turn checkpoints you can revert at any time.
• Four Entry Points: Terminal, desktop app, browser, or your editor over ACP (Agent Client Protocol). SSH remote sessions included.

Use Cases

Who Should Use This Tool?

• DeepSeek Power Users: Developers who want a coding agent tuned for DeepSeek's pricing model and 1M-token context.
• Terminal Purists: Anyone who wants a fast, zero-runtime coding agent without Electron bloat.
• Long-Running Automation: Teams that leave agents working on multi-hour tasks and need checkpoints and undo.

Problems It Solves

1. Token cost on long sessions: Prefix-cache-aware context maintenance keeps repeat context cheap on DeepSeek.
2. Runtime dependency hell: One static binary, six targets, nothing to install underneath.
3. Unrecoverable agent runs: Per-turn checkpoints let you revert any turn and audit what the agent did.

Pricing

Advantages & Unique Selling Points

Compared to Competitors:

1. DeepSeek-native economics: Purpose-built around prefix caching rather than treating DeepSeek as a generic OpenAI-compatible backend.
2. Zero-friction distribution: A single static binary versus Node-based agents that need a runtime.
3. Truly config-driven: No hardcoded models; every provider and tool is a TOML entry.

What Makes It Stand Out:

• 32,000+ GitHub stars and 3,000+ merged PRs with 98 contributors, developed in the open.
• Cache-stable multi-model collaboration (executor + planner).
• Plan mode, permissions, sandbox, and checkpoints make long autonomous runs readable and reversible.

Getting Started

Quick Start Guide

1. Build: git clone https://github.com/esengine/DeepSeek-Reasonix && cd DeepSeek-Reasonix && make build → bin/reasonix.
2. Configure: Set DEEPSEEK_API_KEY; adjust reasonix.toml for providers and tools.
3. Run: reasonix in your project directory (or reasonix -p "prompt" headless).

Integration

Integrates with:

• DeepSeek API (and any OpenAI-compatible endpoint)
• MCP servers for tools, prompts, and resources
• Zed and other editors via ACP

Frequently Asked Questions

Does it work with models other than DeepSeek?

Yes. DeepSeek ships as a preset, but any OpenAI-compatible endpoint is a config entry.

How does it keep costs low?

It maintains a stable prompt prefix and prunes stale tool output before compaction, maximizing DeepSeek's prefix-cache (KV-cache) hit rate.

Is it really a single binary?

Yes — CGO-free Go, cross-compiled for darwin/linux/windows × amd64/arm64. Nothing else needs installing.

Alternatives

If Reasonix isn't the right fit, consider these alternatives:

• Todos: Chief-agent orchestration workspace supporting DeepSeek and 700+ models.
• Grok Build: xAI's terminal coding agent powered by grok-4.5.
• CrewAI: Python role-based multi-agent framework.

Tips & Best Practices

1. Keep sessions running: Reasonix is built to be left running; the prefix cache rewards long-lived sessions.
2. Use plan mode for exploration: Read-only investigation keeps costs predictable before edits begin.
3. Checkpoint before risky turns: Revert any turn with per-turn checkpoints if something goes wrong.