by TeleAI-UAGI · MCP Server · ★ 466
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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 | <a
| Stars | 466 |
| Forks | 32 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 63.822438663527/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-12 |
| Created | 2025-12-05 |
| Platforms | mcp, python |
| Est. Tokens | ~13k |
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telemem is TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication, long-term dialogue memory, and multimodal video reasoning.. It is categorized as a MCP Server with 466 GitHub stars.
telemem is primarily written in Python. It covers topics such as agent, agent-memory, ai-agents.
You can find installation instructions and usage details in the telemem GitHub repository at github.com/TeleAI-UAGI/telemem. The project has 466 stars and 32 forks, indicating an active community.
telemem is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to telemem on Agent Skills Hub include mcp-memory-service, memsearch, Ori-Mnemos. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.