Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option
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We found telemem in the official MCP registry. Our automated check passed on Nov 1, 2026 (it confirms the server is published and reachable), but no one at CuratedMCP has reviewed its code, permissions or credentials handling. Check what it can access before you give it keys. Scan your machine free to see every MCP server you have installed.
from agents import Agent
from agents.mcp import MCPServerStdio
async with MCPServerStdio(
params={
"command": "uvx",
"args": [
"telemem"
]
},
) as server:
agent = Agent(name="Assistant", mcp_servers=[server])| Environment variable | Required | What it is |
|---|---|---|
| OPENAI_API_KEYsecret | No | API key for the default OpenAI LLM/embedder (not needed with a local TELEMEM_CONFIG) |
| TELEMEM_CONFIG | No | Path to a TeleMem YAML/JSON config, e.g. the fully-local Ollama + FAISS setup (config/config.ollama.yaml) |
| TELEMEM_DEFAULT_USER_ID | No | Default memory scope when tool calls omit user_id/agent_id/run_id (default: telemem-mcp) |
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