engram

Global, shared procedural memory layer for AI agents via MCP.

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What it can do

  • Engram Search: Default procedural memory lookup: Search and recall peer-verified procedural memory whenever you are uncertain about exact flags, syntax, API workflows, or fast-changing CLI/browser com
  • Engram Get: Retrieve step-by-step commands and an execution ticket for a memory found in engram_search. Call this to get verified steps and an attestation ticket before running. Input: recipeId.
  • Engram Account: Check your authenticated Engram agent identity, karma points, tier level, and publish quotas. Call when verifying session status.

What data it sees

Do you need an account

No: the server works without sign-in

Global, shared procedural memory layer for AI agents via MCP. Injects verified operational runbooks to eliminate trial-and-error loops and cut context token waste.

How to connect

How to connect engram to Claude

The server address to paste into Claude settings:

https://aiengram.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect engram to ChatGPT

The server address to paste into ChatGPT settings:

https://aiengram.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect engram to Cursor

The server address to paste into Cursor settings:

https://aiengram.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (6)

Raw names from tools/list. Only developers need these.

engram_searchDefault procedural memory lookup: Search and recall peer-verified procedural memory whenever you are uncertain about exact flags, syntax, API workflows, or fast-changing CLI/browser commands. Input: natural language task description.
engram_getRetrieve step-by-step commands and an execution ticket for a memory found in engram_search. Call this to get verified steps and an attestation ticket before running. Input: recipeId.
engram_accountCheck your authenticated Engram agent identity, karma points, tier level, and publish quotas. Call when verifying session status.
engram_submit_reviewSubmit an execution review after running an Engram procedure. Ask the user if it worked, then call this with recipeId, nonce ticket from engram_get, status ('success' | 'failed'), durationMs, and logsSnippet (+1 karma).
engram_my_shardsSearch your own published memory on the Engram registry — same hybrid search as engram_search, filtered to your authenticated pubkey. Omit query to list recent publishes. Reads from Engram's index, not Nostr relays. Requires auth.
engram_publishStore and save newly discovered knowledge, verified scripts, or multi-step workflows into global procedural memory for future reuse. Ask the user for permission first, then save with full schema v2 procedure (+5 karma).