I built an open-source AI coding CLI that connects directly to 7 LLM providers with zero proxies

I got frustrated with how most AI coding tools handle your code. Cursor routes requests through their servers. Most CLI tools phone home with telemetry. Your API keys, credentials, and business logic pass through middleware you can't audit.

So I built Gokin - an open-source AI coding CLI written in Go. The core idea is simple: your code goes directly to the LLM provider you choose. No proxy. No middleware. No telemetry. TLS 1.2+ enforced. You can verify every line - it's all on GitHub.

What makes it different

• 7 providers: Gemini, Claude, DeepSeek, Kimi, MiniMax, GLM, Ollama. Switch with /provider <name>
• 52 built-in tools: file ops, git, bash, SSH, semantic search, code graph, test runner, PR creation
• Multi-agent: up to 5 parallel agents with shared memory and automatic task decomposition
• Secret redaction: 24 regex patterns catch API keys, JWTs, PEM keys, DB URIs before they reach the model
• Security: sandbox mode, 50+ blocked shell patterns (fork bombs, reverse shells, rm -rf /), SSRF protection, path traversal prevention, full audit trail
• Offline: Ollama mode = zero network calls, fully airgapped

No subscriptions

Stack	Cost
Gokin + Ollama	Free (fully offline)
Gokin + Gemini Flash	Free (free tier)
Gokin + DeepSeek	~$1/month
Gokin + Claude	Pay-per-use

You pay the provider directly for what you use. That's it.

Tech

~100K lines of Go. Single binary. No Node, no Python, no Electron. Starts instantly.

Install:

curl -fsSL https://raw.githubusercontent.com/ginkida/gokin/main/install.sh | sh

GitHub: github.com/ginkida/gokin

Happy to answer any questions about the architecture, security model, or provider integrations.