Vibe Coding Discovertelemem
View on GitHubTeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication, long-term dialogue memory, and multimodal video reasoning.
TeleMem is a Mem0-compatible memory layer for AI agents with long-term dialogue storage, character-specific profiles, semantic deduplication, and FAISS retrieval. It also provides a video-memory pipeline and an MCP server.
Use Cases
Persistent memory for conversational agentsSeparate memory profiles for characters or personasDeduplicate and merge similar dialogue memoriesRetrieve relevant facts from long conversationsStore and search video content for question answeringAdd agent memory to LangChain or LlamaIndex applicationsExpose memory operations to MCP clients
Built With
- Language
- Python
- Frameworks
- Mem0 · MCP · FAISS · LangChain · LlamaIndex
Tags
agent memory · long-term memory · semantic search · semantic deduplication · multimodal memory · video understanding · character memory · MCP · Mem0-compatible · FAISS