Mnemograph runs on your own machine — the client starts it, so there is no endpoint to ping. 205 installs a week from pypi. Last commit 14 Feb 2026.
Event-sourced knowledge graph memory for AI coding agents with semantic search
We read the source, 2 d ago · rules 995398eba69f
A value the model can set ends up inside a file or shell call. That is not a flaw by itself — for a terminal server it is the job — but it is where things go wrong when it is not.
result = subprocess.run(
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.
subprocess.run(["git", "add", str(relative_path)], cwd=engine._git_root, capture_output=True)
<script src="https://d3js.org/d3.v7.min.js"></script>
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
That is not a flaw by itself — but it is where things go wrong when it is not the job. We re-read this code on every release. Watch it and you hear from us the day another one appears.
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 mnemograph -- uvx mnemograph
{
"mcpServers": {
"mnemograph": {
"command": "uvx",
"args": [
"mnemograph"
]
}
}
}
[mcp_servers.mnemograph]
command = "uvx"
args = ["mnemograph"]
{
"mcpServers": {
"mnemograph": {
"command": "uvx",
"args": [
"mnemograph"
]
}
}
}
{
"servers": {
"mnemograph": {
"type": "stdio",
"command": "uvx",
"args": [
"mnemograph"
]
}
}
}
Optional settings from the registry entry, left out of the block above:
MEMORY_PATH (Path to memory storage directory).
Semantic memory for AI agents with hybrid search, knowledge graph, and consolidation
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
High-performance knowledge graph MCP server for AI coding agents with semantic search.
Persistent knowledge-graph memory for AI agents, with local semantic search. No API keys.
Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.
Persistent working memory for AI agents: a knowledge graph with semantic search and decay.
Graph-based memory system for LLMs with knowledge graphs and semantic search.
Local memory engine for AI agents with knowledge graphs, forgetting, and semantic recall
Answers built from our own checks of this server.