Home › Knowledge & Memory › telemem
telemem
Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option
Topics: Knowledge & Memory
Connect
Review any command before running it. Package names and URLs come from the server's own registry entry.
Package (pypi 1.10.1)
uvx telemem
Or add to your MCP client config:
{
"mcpServers": {
"telemem": {
"command": "uvx",
"args": [
"telemem"
],
"env": {
"OPENAI_API_KEY": "<YOUR_VALUE>"
}
}
}
}
OPENAI_API_KEYsecret — API key for the default OpenAI LLM/embedder (not needed with a local TELEMEM_CONFIG)TELEMEM_CONFIG— Path to a TeleMem YAML/JSON config, e.g. the fully-local Ollama + FAISS setup (config/config.ollama.yaml)TELEMEM_DEFAULT_USER_ID— Default memory scope when tool calls omit user_id/agent_id/run_id (default: telemem-mcp)
Related servers
modelcontextprotocol/servers
Direct local file system access.
Context7
Up-to-date docs for AI agents
hindsight
Hindsight: long-term memory for AI agents modeled on human memory.
cognee
Memory manager for AI apps and agents using graph and vector stores, with ingestion from many data sources.
Skill_Seekers
Turn docs, GitHub repos, PDFs, videos, Confluence, Notion and Slack/Discord into AI skills and RAG knowledge, exportable to vector…
basic-memory
Local-first knowledge management with bi-directional LLM sync via Markdown files.
Listed in punkpeye/awesome-mcp-servers (MIT)
Data from the Official MCP Registry