A high-performance AI coding agent written in Rust with a rich terminal UI
Coro Code is a high-performance AI coding agent written in Rust with a rich terminal UI. Formerly known as Trae Agent Rust, it remains compatible with the original tool spec while focusing on speed, reliability, and great UX.
β¨ Highlights
π High Performance: Written in Rust for speed and memory safety
π¨ Rich Terminal UI: Beautiful, interactive interface with real-time updates
π§ Easy Configuration: Support for multiple LLM providers with flexible config options
π οΈ Powerful Tools: Built-in bash execution, file operations, and extensible tool system
π Environment Variables: Comprehensive support for API keys, base URLs, and model configuration
π¦ Cross-Platform: Works seamlessly on macOS, Linux, and Windows
π Quick Start
π Prerequisites
π¦ Rust stable (1.70+)
π An API key (OpenAI recommended; Anthropic/Google coming soon)
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
183,625
gemini-cli
llm
# Interactive mode (recommended)
coro
# Single task
coro "Fix the bug in main.rs"
Configuration
Option A: Environment variables
# OpenAI
export OPENAI_API_KEY="your_openai_api_key"
export OPENAI_MODEL="gpt-4o"
# Optional: Custom base URL and model for OpenAI-compatible APIs
export OPENAI_BASE_URL="https://api.deepseek.com"
export OPENAI_MODEL="deepseek-chat"
# Or use generic overrides for any protocol
export CORO_BASE_URL="https://api.custom.com"
export CORO_MODEL="custom-model"
# Interactive mode
coro
# Direct command
coro "Help me refactor this function"
# With specific config
coro --config custom.json "Analyze this codebase"
The core supports exporting the conversation and execution context to JSON and restoring it later:
use coro_core::agent::{AgentBuilder, PersistedAgentContext};
// Export
let json = agent.export_context_json()?; // as JSON string
agent.export_context_to_file(".coro/context.json")?; // or to file
// Restore
agent.restore_context_from_json(&json)?; // from JSON
agent.restore_context_from_file(".coro/context.json")?; // or from file
// Work with the structured snapshot directly:
let snap = agent.export_context_snapshot()?;
let json2 = snap.to_json()?;
let snap2 = PersistedAgentContext::from_json(&json2)?;
agent.re
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
