# rs-agent Implementation Summary
This document summarizes the Rust implementation of the go-agent framework.
## Project Structure
```
rs-agent/
├── src/
│ ├── lib.rs # Main library exports
│ ├── error.rs # Error types (AgentError)
│ ├── types.rs # Core types (ToolSpec, Message, etc.)
│ ├── agent/
│ │ └── mod.rs # Main Agent orchestrator
│ ├── tools/
│ │ └── mod.rs # Tool trait and ToolCatalog
│ ├── memory/
│ │ └── mod.rs # Memory system with InMemoryStore
│ └── models/
│ └── mod.rs # LLM trait interface
├── examples/
│ ├── quickstart.rs # Basic usage example
│ ├── tool_catalog.rs # Custom tool registration and invocation
│ ├── memory_checkpoint.rs # Memory, files, and checkpoint/restore
│ ├── multi_agent.rs # Multi-agent coordination
│ └── utcp_integration.rs # UTCP integration placeholder
├── Cargo.toml # Dependencies and features
└── README.md # Documentation
## Implemented Features
### ✅ Core Components
1. **Agent** (`src/agent/mod.rs`)
- Main orchestrator for LLM interactions
- Memory management integration
- Tool invocation support
- Context building with token limits
- Checkpoint/restore capabilities
2. **Memory System** (`src/memory/mod.rs`)
- `MemoryStore` trait for different backends
- `InMemoryStore` implementation
- `SessionMemory` for managing conversations
- Vector similarity search (cosine similarity)
- Short-term/long-term memory separation
3. **Tool System** (`src/tools/mod.rs`)
- `Tool` trait with async support
- `ToolCatalog` for registration and lookup
- Thread-safe tool invocation
4. **CodeMode + Orchestrator** (`src/agent/codemode.rs`, `src/agent/mod.rs`)
- Exposes UTCP CodeMode as `codemode.run_code`
- Optional Codemode orchestrator to route natural language to tool chains
- Re-exports CodeMode types for consumer convenience
5. **Model Interface** (`src/models/mod.rs`)
- `LLM` trait for model providers
- Support for multi-modal inputs (text + files)
6. **Type System** (`src/types.rs`)
- `ToolSpec`, `ToolRequest`, `ToolResponse`
- `Message` with roles (System, User, Assistant, Tool)
- `GenerationResponse` from models
- `AgentOptions` for configuration
### 🔧 Error Handling
- Comprehensive `AgentError` enum with `thiserror`
- Covers Model, Memory, Tool, Configuration, UTCP errors
- Custom `Result<T>` type alias
### 📚 Examples
1. **Quickstart** - Basic agent usage with mock LLM
2. **Multi-Agent** - Coordinator + specialist agents with tools
3. **UTCP Integration** - Placeholder for future UTCP support
## Key Differences from go-agent
### Rust-Specific Improvements
1. **Memory Safety**: No garbage collection, compile-time guarantees
2. **Async/Await**: Tokio runtime for efficient concurrency
3. **Type Safety**: Strong type system with generics and traits
4. **Error Handling**: Result types instead of error returns
5. **Thread Safety**: Built-in with Arc, RwLock, and Send/Sync
### Architecture Differences
- **Tool Catalog**: Uses `parking_lot::RwLock` for lock-free reads
- **Memory**: Separates short-term (cached) and long-term (persistent) storage
- **Agent**: Immutable by default with builder pattern
## Roadmap
### Next Steps
1. **LLM Providers**
- [ ] Gemini implementation
- [ ] Ollama implementation
- [ ] Anthropic implementation
2. **Memory Backends**
- [ ] PostgreSQL + pgvector
- [ ] Qdrant vector database
- [ ] MongoDB
3. **Advanced Features**
- [ ] Sub-agent support (agent-as-tool)
- [ ] UTCP provider registration
- [ ] Streaming responses
- [ ] Tool orchestrator (LLM-driven tool selection)
- [ ] Code mode integration
- [ ] Shared spaces for multi-agent coordination
4. **Testing & Documentation**
- [ ] Integration tests
- [ ] Benchmark suite
- [ ] API documentation
- [ ] Tutorial guide
## Usage
### Basic Example
```rust
use rs_agent::{Agent, AgentOptions};
use rs_agent::memory::{InMemoryStore, SessionMemory};
use std::sync::Arc;
// Create memory
let store = Box::new(InMemoryStore::new());
let memory = Arc::new(SessionMemory::new(store, 10));
// Create agent (with your LLM implementation)
let agent = Agent::new(model, memory, AgentOptions::default())
.with_system_prompt("You are a helpful assistant");
// Generate response
let response = agent
.generate("session_123", "What is Rust?")
.await?;
```
### Tool Creation
```rust
use rs_agent::{Tool, ToolSpec, ToolRequest, ToolResponse, Result};
use async_trait::async_trait;
struct MyTool;
#[async_trait]
impl Tool for MyTool {
fn spec(&self) -> ToolSpec {
ToolSpec {
name: "my_tool".to_string(),
description: "Description".to_string(),
input_schema: serde_json::json!({
"type": "object",
"properties": { ... }
}),
examples: None,
}
}
async fn invoke(&self, req: ToolRequest) -> Result<ToolResponse> {
// Implementation
Ok(ToolResponse {
content: "result".to_string(),
metadata: None,
})
}
}
```
## Dependencies
### Core
- `tokio` - Async runtime
- `async-trait` - Async trait support
- `serde` / `serde_json` - Serialization
### Error Handling
- `thiserror` - Error derivation
- `anyhow` - Error handling utilities
### Data Structures
- `parking_lot` - Efficient locks
- `uuid` - Unique identifiers
- `chrono` - Date/time handling
### Integration
- `rs-utcp` - Universal Tool Calling Protocol
- `reqwest` - HTTP client for API calls
### Optional Features
- `google-generative-ai-rs` (gemini feature)
- `fastembed` (memory feature)
- `sqlx` (postgres feature)
- `qdrant-client` (qdrant feature)
## Testing
Run tests:
```bash
cargo test
```
Run examples:
```bash
cargo run --example quickstart
cargo run --example tool_catalog
cargo run --example memory_checkpoint
cargo run --example multi_agent
cargo run --example utcp_integration
```
Build the project:
```bash
cargo build --release
```
## Contributing
The project follows standard Rust conventions:
- Use `cargo fmt` for formatting
- Use `cargo clippy` for linting
- Add tests for new features
- Update documentation
## License
Apache 2.0 (matching go-agent)
## Acknowledgments
- Based on [go-agent](https://github.com/Protocol-Lattice/go-agent)
- Integrates with [rs-utcp](https://github.com/Protocol-Lattice/rs-utcp)
- Inspired by Google's ADK