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How to ask what would happen before the agent acts with Causal Memory

Have your agent ask its memory what happened last time before it runs a risky command, and stop on a danger chain.

Short answer: Install with ./install.sh --yes so the server and the bundled agent skill are both in place (the skill tells the agent when to call the tools); then when an action goes wrong, have the agent record the action and its outcome as a cause and effect pair in memory; add a rule to your agent instructions: call intervention_query before deploys, migrations or deletes. All steps.

Who it is forA platform engineer whose agent once broke a production login with a deploy and should never repeat it.

The problemAgents forget past incidents after context compaction and confidently repeat the same risky action.

The outcomeBefore a risky step the agent calls intervention_query and gets a DANGER chain that cites the recorded lesson, so you can stop or change the plan.

What you need first

  • Rust toolchain, or pip for the prebuilt package
  • An MCP client such as Claude Code

Steps

  1. Install with ./install.sh --yes so the server and the bundled agent skill are both in place (the skill tells the agent when to call the tools)
  2. When an action goes wrong, have the agent record the action and its outcome as a cause and effect pair in memory
  3. Add a rule to your agent instructions: call intervention_query before deploys, migrations or deletes
  4. Run the risky task again and read any DANGER chain the agent shows before it proceeds
  5. Optionally preview memory cleanup with causal-memory sleep --dry-run

Prompt for your agent

Before you run <risky command> on <system>, call causal-memory's intervention_query with the planned action. If it returns a DANGER chain, stop and show me the cited past outcome; otherwise proceed and record the result.

Caveat. It only warns about outcomes that were recorded earlier, so a brand new store has nothing to warn with until you log a few real incidents.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for JingxuanC/causal-memory and "Ask what would happen before the agent acts"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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