agentdb-recall

name	agentdb-recall
description	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?"

Recall

Pull relevant past memories into the current context.

When to use

• Task start — auto-load any prior episodes / patterns / skills that look relevant
• When stuck — search for past failures + critiques on similar tasks
• User asks — "have we done this?", "what do we know about X?"
• Decision point — surface successful strategies before committing to one

Pick the right tool

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

Standard recall flow at task start

1. Embed the current task description.
2. Call agentdb_reflexion_recall with k=5, minReward=0.5.