Give your AI agent the memory of a colleague who's worked with you for years — without cloud, API keys, or Docker.
Engram is an MCP project maintained in the hbarefoot/engram repository. The maintainer describes its purpose as “Give your AI agent the memory of a colleague who's worked with you for years — without cloud, API keys, or Docker”. Read the project documentation for the complete scope.
The project provides a local client configuration using engram. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| fact | Objective truths about setup, architecture, or configuration. |
| preference | User likes, dislikes, style choices. |
| pattern | Recurring workflows and habits. |
| decision | Choices made and the reasoning behind them. |
| outcome | Results of actions taken. |
| engram_remember | Store a memory with category, entity, confidence, namespace, tags. Auto-runs secret detection. |
| engram_recall | Hybrid semantic + FTS5 search. Supports category, namespace, threshold, and time_filter. |
| engram_forget | Delete a specific memory by ID. |
| engram_feedback | Vote a memory helpful/unhelpful. Drives the feedback loop above. |
| engram_context | Pre-formatted context block (markdown / xml / json / plain) with a token budget for system-prompt injection. |
| engram_status | Health check: memory count, model status, configuration. |
{
"mcpServers": {
"engram": {
"command": "engram",
"args": [
"start",
"--mcp-only"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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