# agentlib-memory
Advanced memory management for AI agents. This crate provides various implementations of the `MemoryProvider` trait to manage conversation history of varying lengths and complexities.
## Providers
- **BufferMemory**: Simple in-memory storage with optional message limits.
- **SlidingWindowMemory**: Maintains a fixed number of recent conversation turns while respecting a token budget.
- **SummarizingMemory**: Uses an LLM to compress older parts of the conversation into a summary once a window threshold is reached.
- **CompositeMemory**: Chains multiple memory providers together (e.g., a local buffer followed by a vector database).
## Usage
```rust
use agentlib_memory::BufferMemory;
use std::sync::Arc;
let memory = Arc::new(BufferMemory::new(50)); // Store last 50 messages
```
## Implementation Details
The memory system handles:
- Token estimation for messages.
- Session isolation.
- Metadata tagging for indexed retrieval.