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Telemem MCP server

by TeleAI-UAGI·io.github.TeleAI-UAGI/telemem·v1.10.1·494 stars
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Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option

A85/100grade A
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Safety scan
A85/100

full report

Adoption
Established

494 stars59 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Telemem tools (8, 3 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • add_memory
  • delete_all_memorieswrite action
  • delete_memorywrite action

    Delete a single memory by memory_id.

  • get_memories
  • get_memory

    Fetch a single memory by its memory_id.

  • memory_history

    Show the change history (ADD/UPDATE/DELETE events) of a memory.

  • search_memories
  • update_memorywrite action

    Overwrite the text of an existing memory by memory_id.

Public scan report

scanner v0.1.10 · 2026-11-03 · same rubric, same numbers if you re-run it

no findings
  • Code scan20 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 1 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Telemem compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 70% of 48,255 servers
Tools
8
the typical server has 7
Tools that change things
38%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
494
more than 95% of 28,688 servers
Downloads a week
59
more than 48% of 12,191 servers with a package

What its tools let an agent do: 4 read · 1 create · 1 change · 2 delete

Release history: 2 versions in the registry since 2026-08-15, latest 2026-10-23, typically one every 69 days.

Install Telemem in Claude Code, Cursor or VS Code

claude mcp add telemem -- uvx telemem
Add to Cursor

What the publisher says

From the Telemem repository's README, as published. We do not edit it. Read it on GitHub

TeleMem: Building Long-Term and Multimodal Memory for Agentic AI

If you find this project helpful, please give us a ⭐️ on GitHub for the latest update.

🤝 Contributions welcome! Feel free to open an issue or submit a pull request.

English | 简体中文 📄 Awesome-Agent-Memory →

TeleMem is an agent memory management layer that can be used as a high-performance drop-in replacement for Mem0 with one line of code (import telemem as mem0), deeply optimized for complex scenarios involving multi-turn dialogues, character modeling, long-term information storage, and semantic retrieval.

Through its unique context-aware enhancement mechanism, TeleMem provides conversational AI with core infrastructure offering higher accuracy, faster performance, and stronger character memory capabilities.

Building upon this foundation, TeleMem implements video understanding, multimodal reasoning, and visual question answering capabilities. Through a complete pipeline of video frame extraction, caption generation, and vector database construction, AI Agents can effortlessly store, retrieve, and reason over video content just like handling text memories.

The ultimate goal of the TeleMem project is to use an agent's hindsight to improve its foresight.

TeleMem, where memory lives on and intelligence grows strong.

Why TeleMem?

  • 🎭 Character memory done right — the only open-source memory layer that automatically builds isolated, per-character memory profiles, built for role-play, companion AI, NPCs, and multi-persona assistants.
  • 🎬 Memory for video, not just text — a full video → frames → captions → vector DB pipeline with ReAct-style multi-step video QA.
  • 🏠 Fully local by default — runs end-to-end on your hardware (Qwen + FAISS); no cloud service, no paid tier, no data leaving your machine.
  • 🔌 mem0-compatible API — add() / search() accept the same arguments and return the same {"results": [...]} shapes, so existing Mem0 code keeps working.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Telemem: common questions

Is Telemem MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the Telemem safety report
How do I install Telemem?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Telemem need an API key?
Yes. The registry entry asks for OPENAI_API_KEY.
Is Telemem maintained?
The last commit was 2 days ago (2026-11-02). The latest release is v1.10.1.
What can I use instead of Telemem?
Servers from other publishers that do the same job: Nautilus Compass Memory MCP server.
How does Telemem compare with other MCP servers?
safety score 85/100 (higher than 70% of 48,255 servers); tools 8 (the typical server has 7); tools that change things 38% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Telemem

Same job from other publishers: the closest match first, then the best rated.

  • Nautilus Compass Memory
    Local-first long-term memory for AI agents, with byte-recomputable signed verification receipts.
    B