headroom: Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. It achieves the same answers with a fraction of the tokens.; telemem: TeleMem is an advanced agent memory management layer, offering high-performance, character-aware, long-term, and multimodal memory capabilities for conversational AI. It significantly improves memory accuracy and speed, supporting complex scenarios like multi-turn dialogues and video content understanding.
Reduce LLM token usage and API costs for AI agents.
Developing multi-character virtual agent systems and NPCs.