Deja Vu runs on your own machine — the client starts it, so there is no endpoint to ping. 929 installs a week from npm. Last commit 18 Sep 2026.
deja-vu: local memory over the session histories of twenty-five coding agents.
What the code does
We read the source, 21 h 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.
claude_root = os.path.join(out_root, f"store-{arm}", "claude-root")
execFileSync(candidate, ["version"], {
proc = subprocess.run(
return text[:block.valueOpen+1] + insert + text[block.valueOpen+1:], nil
env = dict(os.environ)
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
This code can reach further than it looks
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.
Connect this server
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 deja-vu -- npx -y @vshulcz/deja-vu{
"mcpServers": {
"deja-vu": {
"args": [
"-y",
"@vshulcz/deja-vu"
],
"command": "npx"
}
}
}[mcp_servers.deja-vu]
command = "npx"
args = ["-y", "@vshulcz/deja-vu"]{
"mcpServers": {
"deja-vu": {
"args": [
"-y",
"@vshulcz/deja-vu"
],
"command": "npx"
}
}
}{
"mcpServers": {
"deja-vu": {
"args": [
"-y",
"@vshulcz/deja-vu"
],
"command": "npx"
}
}
}Alternatives to Deja Vu
same job, measured the same wayLocal-first memory and session continuity for AI coding agents over MCP. No cloud, no telemetry.
Local Git-history memory for coding agents: reverts, suppressions, hotspots, and annotations.
Session memory for coding agents: local-first recall, drift detection, on-device inference.
Memory for coding agents: the decisions, the dead ends, and where the last session stopped.
Local-first memory for coding agents; stores decisions, bugs, and context across sessions.
Deterministic context selection for AI coding agents. Local memory that compounds across sessions.
Local-first, cross-harness memory for AI coding agents.
Local-first memory for AI coding agents: shell history with exit codes, git diffs, docs, MCP.
Deja Vu — questions
Answers built from our own checks of this server.