telemem MCP Server
TeleAI-UAGI/telemem
[](https://agentrank-ai.com/tool/TeleAI-UAGI--telemem/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication, long-term dialogue memory, and multimodal video reasoning.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
TeleAI-UAGI/telemem is a Python tool licensed under Apache-2.0. TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication, long-term dialogue memory, and multimodal video reasoning. Topics: agent, conversational-ai, llm, long-term-memory, mem0, memory, multimodal, rag, semantic-search, character-memory, agent-memory, ai-agents, faiss, mcp, model-context-protocol, video-understanding.
Ranked #331 out of 24842 indexed tools.
In the top 2% of all indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
493 stars → growing community
Last commit 6d ago → actively maintained
5/6 issues closed → responsive maintainer
9 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
Matched Queries
From the README
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<a href="https://github.com/TeleAI-UAGI/telemem">
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<h1 align="center"> TeleMem: Building Long-Term and Multimodal Memory for Agentic AI </h1>
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<a href="https://arxiv.org/abs/2601.06037">
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<a href="https://github.com/TeleAI-UAGI/telemem/actions/workflows/ci.yml">
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<a href="https://pypi.org/project/telemem/">
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<a href="https://github.com/TeleAI-UAGI/telemem">
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<a href="https://github.com/TeleAI-UAGI/TeleMem/blob/main/LICENSE">
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<a href="https://mcpvault.io/servers/telemem/health?utm_source=external_badge&utm_medium=referral&utm_campaign=mcp_health_report">
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**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._
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<a href="README.md">English</a> | <a href="READ Read full README on GitHub → Get the weekly AgentRank digest
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