🛠 OptMem Released: An "Infinite" Memory Library for AI Agents
Developers have introduced OptMem—a lightweight solution for providing AI agents with persistent memory. The system uses a compact 333-token prompt and a Python script, allowing agents to write, search, and compress knowledge between sessions. The tool supports working with millions of entries (database size ~607 MB) and performs regex-based searches in just 0.03 seconds.
🌍 OptMem offers a simple way to overcome LLM context window limitations by providing agents with a long-term knowledge storage mechanism without the need to deploy complex vector database infrastructure. The use of an ultra-compact prompt allows the system to be integrated into almost any existing agent.
👤 You can add persistent memory to your local agent or CLI tool simply by inserting a short block of instructions, allowing the AI to "get to know" you and remember details from past tasks.
Source 1: https://github.com/VictorTaelin/OptMem