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Memory for AI agents that tracks beliefs over time and surfaces contradictions
npx @getmcp/cli add io.github.troybrandonc-bit/omemRequires Python 3.10+. Community-contributed server. Review source before installing.
OMEM_API_KEYAPI key from the OMEM server. It is printed on first run of `omem-server`.
OMEM_PROJECTProject id to read and write memory in, also printed on first run.
Config file: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"io.github.troybrandonc-bit/omem": {
"command": "uvx",
"args": [
"omem-infrastructure"
],
"env": {
"OMEM_API_KEY": "",
"OMEM_PROJECT": "",
"OMEM_BASE_URL": "http://127.0.0.1:8787",
"OMEM_AGENT": "mcp-agent",
"OMEM_USER": ""
}
}
}
}Remote MCP server for Tandem docs, install guides, SDKs, workflows, and agent setup help.
Ephemeral data sandbox for AI workflows with guardrails and security
MCP server for Anki flashcards: adaptive review, notes, media, and deck management via AnkiConnect.
AI memory layer — one shared, persistent memory across every AI tool you connect.