Engram runs on your own machine — the client starts it, so there is no endpoint to ping. 35 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": {
"args": [
"-y",
"engram-rs-mcp"
],
"command": "npx"
}
}
}
[mcp_servers.engram]
command = "npx"
args = ["-y", "engram-rs-mcp"]
{
"mcpServers": {
"engram": {
"args": [
"-y",
"engram-rs-mcp"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"engram": {
"args": [
"-y",
"engram-rs-mcp"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
ENGRAM_URL (URL of the engram server), ENGRAM_API_KEY (API key for authentication).
The author declared them in the registry entry; get the values from the project itself.
Verification and memory layer for coding-agent workflows.
Task management for AI agents with hierarchical tasks, dependencies, sprints, and coordination.
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.
Persistent memory for AI agents. Memories decay with time and strengthen on recall.
Temporal memory for AI with decay and reinforcement. Two-layer storage (JSONL + Markdown).
Persistent cross-platform memory for AI agents with Ebbinghaus decay scoring.
Local memory for coding agents. A rule with a runnable proof can refuse a wrong command.
Answers built from our own checks of this server.