Introducing Pi-Go

pi-go is a terminal-based AI coding agent built on Google ADK Go. It ships as a single binary, runs multiple LLM providers side by side, keeps your filesystem safe behind a sandbox, and remembers what you have worked on across sessions.

Why another coding agent?

The browser-tab and IDE-plugin coding agents are powerful, but they pull you out of the terminal — where real work happens. pi-go is opinionated about staying there. It’s a TUI that speaks JSON-RPC to language servers, talks to whatever LLM you prefer, and executes tools inside a strict sandbox so you don’t have to trust it beyond what it needs to see.

What’s in the box

• Multi-provider LLMs. Anthropic, OpenAI, Gemini, and local Ollama models. Switch providers mid-conversation with a slash command.
• Sandboxed tools. File read/write/edit, shell execution, grep, find, tree, and git — all confined to the project directory via os.Root. No accidental rm -rf ~.
• Memory Palace. A four-layer contextual memory combining SQLite, semantic embeddings, a temporal knowledge graph, and background project miners that learn your codebase while you work.
• LSP integration. A JSON-RPC client for Go, TypeScript, Python, and Rust with auto-format and diagnostics hooks wired into the agent loop.
• Subagent system. Process-based orchestration with typed roles — explore, plan, designer, reviewer, task runner — so big tasks fan out cleanly.
• Session branching. JSONL append-only event logs with branching, compaction, and resume. Fork a conversation, try a different approach, merge back.

Get started in one command

# Linux and macOS
$ curl -fsSL https://raw.githubusercontent.com/dimetron/pi-go/main/scripts/install.sh | bash

# Windows PowerShell
PS> powershell -NoProfile -Command "iwr https://raw.githubusercontent.com/dimetron/pi-go/main/scripts/install.ps1 -UseBasicParsing | iex"

# Or with go install
$ go install github.com/dimetron/pi-go/cmd/pi@latest

# Run it
$ pi

What’s next

This is the first post and the project is very much in motion. Upcoming: deeper dives on the Memory Palace, the sandbox threat model, and how the subagent system dispatches work. Subscribe to the RSS feed or watch the repo on GitHub to follow along.