Aurict

Aurict is an open-source terminal AI coding agent licensed under AGPLv3, built for developers who want agentic AI workflows without leaving their shell. It operates on a bring-your-own-key (BYOK) model, meaning users supply their own API keys for providers like Anthropic, OpenAI, Google, xAI, Azure, AWS Bedrock, Ollama, and OpenRouter. The wider Aurict system also includes a local-first desktop workspace (Hoprel), a Flutter-based mobile companion app, and a fixed-income research sub-product (Bondley.one).

What It Is

Aurict is a terminal-native multi-agent coding assistant that understands your project before you type a prompt. On first run it scans the repository — detecting framework, language, package manager, and config files — and injects that context automatically. It routes tasks to nine built-in specialist agents (explore, code, review, test, docs, security, debug, performance, analytics) that run in parallel worker threads, then surfaces results with a durable completion proof. The TUI is built on Ink (React for terminals), rendering cleanly without Electron overhead or browser tabs.

How the Safety Architecture Works

Every shell command passes through a three-tier bash classifier — safe, warning, or danger — before execution. Risky calls enter a policy sandbox with permission gates, protected paths, scrubbed environment variables, timeouts, output limits, and an audit trail. The "Project Auto" feature removes repeated prompts only for bounded write, edit, and apply_patch operations inside the active project for the current session; shell commands, secrets, paths outside the project, and broad deletions still require direct approval. Three security posture levels are available: Passive (defensive review only), Active Lite (Docker-backed scans against an allowlisted target), and Kali Full (full experimental image, requiring explicit approval every time).

Capability Architecture

• 218+ contextual skills — framework- and tool-specific context injected automatically when a stack is detected (Next.js, React, Vue, FastAPI, Rust, Go, Kubernetes, Terraform, and 200+ more combinations)
• Multi-agent coordinator — nine specialists in isolated worker threads; complex tasks decompose and run in parallel
• MCP client — imports compatible claude_desktop_config.json servers; each connected server and its tools are inspectable before use
• Design agent — 150+ design systems and 111 skill templates for UI implementation briefs
• Persistent memory — decisions and conventions stored locally in SQLite via Drizzle ORM, recalled per session
• Session management — checkpoints before every AI action, /undo for N-step rollback, /fork, /branch, and /worktree for parallel development
• Local HTTP API — REST/SSE on 127.0.0.1:7777 with bearer-token auth for scripting and CI integration
• Token and cost tracking — /cost shows a full breakdown including cache reads at their discounted rate

Installation and Setup Path

Aurict ships as a self-contained compiled binary (approximately 103 MB with the Bun runtime embedded) for macOS arm64/x64, Linux x64/arm64, and Windows x64. Installation takes one command:

curl -fsSL https://aurict.com/install.sh | bash

or via npm:

npm install -g aurict

No Node.js runtime is required at execution time for the curl-installed binary. Building from source requires Bun 1.3+ and TypeScript 5.8+. The project structure separates a core package (agent engine, tools, providers, storage, HTTP server) from a cli package (Ink TUI, slash commands, keybindings), with 92 unit tests in core and 39 TUI component tests in cli.

Update: v1.2.23

The latest release is v1.2.23, published on September 5, 2026, according to the GitHub repository metadata. The repository was last pushed on September 12, 2026, indicating active development. The project describes itself as having moved from a bootstrapped hobby project toward a more clearly defined technology ecosystem, with a public roadmap and changelog available at aurict.com. The about page notes planned verticals including a cybersecurity platform, a visual/interface generation layer, and a MicroTarget.one integration for on-device ML and customer engagement workflows.