DEDUP · DIALOGUE · MULTIMODAL
TeleMem
@TELEAI-UAGI
replace Mem0 with one line to obtain deduplication, long-term dialogue and multi-modal video memory.
TeleMem provides a memory layer that can directly replace Mem0 for complex multi-round scenarios, reducing repeated writing, and incorporating text and video information into unified long-term retrieval.
Project address (can be copied to AI):https://github.com/TeleAI-UAGI/telemem
PROJECT INTRO
Project introduction
TeleMem can be used as a replacement layer for Mem0 by importing telemem as mem0, providing semantic deduplication, long-term dialogue memory, role modeling, hybrid retrieval, and multi-modal video understanding.
It is more suitable for application development and research scenarios. It is a general memory component rather than a complete companion system, so it is only labeled memory.
- Suitable for:Developers who require a Mem0-compatible, high-performance, and multi-modal memory layer.
- Platform:Python, self-hosted services and MCP.
- Usage:Connect to existing applications through compatible APIs and configure storage and models.
- License:Apache-2.0。
COMMENTS & FEEDBACK
Comments and Feedback
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