Introduction

What is TraitClaw?

TraitClaw is a Rust framework for building AI agents — intelligent programs that can reason, use tools, maintain memory, and collaborate with other agents.

Unlike Python/TypeScript AI frameworks that rely on runtime validation and garbage collection, TraitClaw leverages Rust’s type system to catch errors at compile time, not in production.

The 5-Line Agent

let agent = Agent::builder()
    .provider(OpenAiCompatProvider::openai("gpt-4o-mini", api_key))
    .system("You are a helpful assistant")
    .build()?;

let output = agent.run("Hello!").await?;

That’s it. No boilerplate, no configuration files, no dependency injection frameworks.

Design Philosophy

1. Trait-Based Composition

Every capability in TraitClaw is a trait. Want to swap your LLM provider? Implement Provider. Need custom memory? Implement Memory. This means:

• No vendor lock-in — switch from OpenAI to Anthropic by changing one line
• No hidden magic — every behavior is explicit and inspectable
• Full testability — mock any component with a test implementation

2. Simple by Default, Powerful When Needed

The default Agent works out of the box with sensible defaults. But when you need advanced control:

• AgentStrategy — customize the entire execution loop (ReAct, CoT, MCTS)
• AgentHook — intercept every step for logging, metrics, or modification
• Guard / Hint / Tracker — add safety, guidance, and observability

3. Zero-Cost Abstractions

TraitClaw uses static dispatch where possible and dynamic dispatch (Box<dyn Trait>) only where flexibility is required (tool registries, provider selection). The result:

• No garbage collector — predictable latency
• Single static binary — deploy anywhere
• Minimal memory footprint — suitable for edge devices

Feature Overview

Category	Features	Status
Core	Agent, Builder, 8 Traits, Streaming, Structured Output	✅
Reasoning	ReAct, Chain-of-Thought, MCTS, Custom Strategies	✅
Providers	OpenAI, Anthropic, Ollama, Groq, Mistral, vLLM	✅
Memory	In-Memory, SQLite, Compressed (LLM + Rule-Based)	✅
Safety	Guards, Hints, Trackers, Steering	✅
Orchestration	Multi-Agent Teams, Routers, Factory, Pool	✅
Integration	MCP Client, RAG Pipeline, Evaluation Framework	✅
Observability	tracing Integration, Lifecycle Hooks	✅

Next Steps

Installation → Add TraitClaw to your Rust project.