TeleAI-UAGI/telemem

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

Tested with

Claude Desktop, Claude Code, Cursor, ChatGPT

Notes

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.

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

Use cases

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

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

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.