TeleMem
What it is
TeleMem is a Python library and MCP server that serves as a high-performance, drop-in replacement for the Mem0 agent memory system. It provides semantic deduplication, long-term dialogue memory, and multimodal video reasoning capabilities, allowing agents to store and retrieve information locally using Qwen and FAISS.
The problem it solves
Existing agent memory solutions often lack robust semantic deduplication, support for isolated character profiles, or multimodal (video) reasoning capabilities, and may rely on cloud services that compromise data privacy.
What you could use it for
- Building role-play or companion AI agents with isolated per-character memory profiles
- Enabling AI agents to store, retrieve, and reason over video content via frame extraction and captioning
- Integrating long-term semantic memory into existing Mem0-based applications with minimal code changes
- Running local, private agent memory systems without cloud dependencies
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.