Retrieve relevant memories for the current task from AgentDB. Use at the start of a task to load prior knowledge, when stuck to surface what worked before, or when the user asks "what do we know about X" / "have we done this before?"
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Pull relevant past memories into the current context.
| Need | Tool | Returns |
|---|---|---|
| Similar past tasks | agentdb_reflexion_recall | Episodes, top-k by similarity |
| Lessons from past failures | agentdb_critique_summary | Combined critique text |
| What worked last time | agentdb_success_strategies | Approach summaries from high-reward episodes |
| Generic patterns / facts | agentdb_pattern_search | Patterns ranked by similarity |
| Reusable skills by intent | agentdb_skill_search | Skills ranked by precondition match |
agentdb_reflexion_recall with k=5, minReward=0.5.agentdb_pattern_search with the same query, k=5.agentdb_record_feedback (or recordFeedback via the library) so the bandit learns.minReward — drop low-quality matches (default 0.3).onlyFailures — explicitly query the postmortem set when debugging.onlySuccesses — only winning approaches when copying a strategy.timeWindowDays — recent context only when the codebase has shifted.No reviews yet. Tell others what you thought.
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