Engram runs on your own machine — the client starts it, so there is no endpoint to ping. 52 installs a week from npm. Last commit 2 Mar 2026.
Hierarchical memory for AI agents. Three-layer (buffer/working/core) with decay and promotion.
Today is the operative word: we check Engram every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
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 engram -- npx -y engram-rs-mcp
{
"mcpServers": {
"engram": {
"command": "npx",
"args": [
"-y",
"engram-rs-mcp"
]
}
}
}
[mcp_servers.engram]
command = "npx"
args = ["-y", "engram-rs-mcp"]
{
"mcpServers": {
"engram": {
"command": "npx",
"args": [
"-y",
"engram-rs-mcp"
]
}
}
}
{
"servers": {
"engram": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"engram-rs-mcp"
]
}
}
}
Optional settings from the registry entry, left out of the block above:
ENGRAM_URL (URL of the engram server), ENGRAM_API_KEY (API key for authentication).
Verification and memory layer for coding-agent workflows.
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Project tracker for teams working with AI agents: issues, cycles, docs and shared agent memory.
Persistent working memory for AI agents: a knowledge graph with semantic search and decay.
Self-learning memory for AI coding agents with pattern detection and confidence scoring.
Long-term memory for AI agents: local-first PKM with provenance and hybrid search.
Answers built from our own checks of this server.