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TeleAI-UAGI/telemem

by Various

TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication, long-term dialogue memory, and multimodal video reasoning.

MCP

TeleAI-UAGI/telemem

Added 3 Sept 2026

#agent#agent-memory#ai-agents#character-memory#conversational-ai#faiss#llm#long-term-memory
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

TeleMem is a Python library that serves as a drop-in replacement for Mem0, adding semantic deduplication, long-term dialogue memory, and multimodal video reasoning. It is designed for high-performance memory management in AI applications.

Best for

Best for
Developers building Python-based AI agents that need persistent, deduplicated memory with video understanding.

Use cases

  • Add persistent memory to conversational agents
  • Deduplicate semantically similar memories in a knowledge store
  • Reason over video content with multimodal memory

How to use

Install

uvx telemem                                      # zero-install run (stdio)

Tools exposed

  • user_id
  • memory_type
  • video_path
  • output_dir
  • clip_secs
  • emb_dim
  • subtitle_path
  • max_iterations
  • global_browse_tool
  • clip_search_tool
  • frame_inspect_tool

Clients listed in this record (not verified here)

Claude Desktop, Claude Code, Cursor, ChatGPT

Notes

487 stars on GitHub. Last updated 2026-08-31. Licensed Apache-2.0.

Pros

  • Drop-in replacement for Mem0 simplifies migration
  • Semantic deduplication reduces redundant stored memories
  • Supports multimodal video reasoning beyond text-only memory

Cons

  • Relatively small community with 487 GitHub stars
  • Python-only implementation limits use in non-Python stacks
  • Vendor is listed as Various, so long-term maintenance is uncertain
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