car-reason 0.7.0

Code reasoning engine for Common Agent Runtime — adaptive, graph-driven, learning
Documentation

car-reason

Code reasoning engine for Common Agent Runtime. Adaptive, graph-driven, learning.

What it does

Instead of a hardcoded "diagnose → suggest → explain" pipeline, reasoning actions are skills in the memgine graph. The graph's spreading activation and success/failure tracking determine which actions to run, in what order, routed to which models. As outcomes accumulate, the routing improves without code changes.

Usage

use std::sync::{Arc, Mutex};
use car_reason::ReasoningSession;

let inference = Arc::new(car_inference::InferenceEngine::new(Default::default()));
let mut memgine = car_memgine::MemgineEngine::new(None);

// Seed the default reasoning skills
car_reason::skills::seed_defaults(&mut memgine);

let memgine = Arc::new(Mutex::new(memgine));
let session = ReasoningSession::new(memgine, inference);
let result = session.reason("fix the off-by-one error in parse_header").await?;

println!("Diagnosis: {}", result.diagnosis);
for s in &result.suggestions {
    println!("Fix: {}", s.suggested);
}
println!("Explanation: {}", result.explanation);

Where it fits

A higher-level capability over car-memgine + car-inference + car-ast. Used by the car CLI's diagnostic / fix slash commands and by .claude-plugin/agents/reason.md.