Genesys Memory runs on your own machine — the client starts it, so there is no endpoint to ping. 658 installs a week from pypi. Last commit 7 Sep 2026.
Open-source causal memory for AI agents: persistent, explainable, MCP-native memory (13 tools).
We read the source, 7 d ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
этот файл ставится пользователю, но в репозитории его нет
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We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add genesys-memory -- uvx genesys-memory
{
"mcpServers": {
"genesys-memory": {
"args": [
"genesys-memory"
],
"command": "uvx"
}
}
}
[mcp_servers.genesys-memory]
command = "uvx"
args = ["genesys-memory"]
{
"mcpServers": {
"genesys-memory": {
"args": [
"genesys-memory"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"genesys-memory": {
"args": [
"genesys-memory"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
OPENAI_API_KEY (OpenAI API key for embedding generation (optional — use GENESYS_EMBEDDER=local for no API key)), ANTHROPIC_API_KEY (Anthropic API key for LLM-based memory processing (optional)), GENESYS_EMBEDDER (Embedding provider: 'openai' or 'local' (default: openai)).
The author declared them in the registry entry; get the values from the project itself.
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Answers built from our own checks of this server.