claude

agentdb-causal

Causal graph + hierarchical memory. /link and /explain-link slash commands; agentdb-investigator agent for root-cause traversal.

97 on GitHubby ruvnetv0.1.0MIT OR Apache-2.0updated yesterday
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Plugin agentdb-causal from marketplace agentdb in ruvnet/agentdb. Commands read from the repo's manifest — yesterday.

What it installs

Skills (3)

  • agentdb-causal-explain

    Walk the causal graph in AgentDB to explain why two memories are connected, or trace a root cause. Use when the user asks "why did X happen", "what led to Y", or after an incident.

  • agentdb-causal-link

    Record a causal relationship between two memories in AgentDB — "X caused Y", "A supersedes B", "patch-foo depends-on patch-bar". Use when the user is documenting cause/effect, dependencies, supersessions, or after-action analysis.

  • agentdb-hierarchical-store

    Store memories in tier-aware hierarchical memory — working / short-term / long-term — and recall with tier filters. Use for working-set context that should fade, vs facts that should persist, vs patterns that should be searchable forever.

Slash commands (2)

  • /agentdb-causal:explain-link

    Explain why a memory is what it is — walks AgentDB's causal graph backwards to surface the chain that led to it.

  • /agentdb-causal:link

    Record a causal link between two memories — A causes B, A supersedes B, A depends on B.

Subagents (1)

  • agentdb-investigator

    Causal investigator agent for AgentDB. Given a target (a failed test, a regression, an incident, a question), walks the causal graph to produce a root-cause-shaped report with evidence quality grading. Use when the user wants a "postmortem", "root cause analysis", or asks "why did X actually happen?

View source on GitHub ruv.io

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