memoryproductivity / update learnings

Update Learnings

update_learnings

Appends a new learning or insight to the project learnings log in agent memory. Use when: discovering a useful pattern, solving a tricky bug, or capturing a decision rationale that should inform future sessions. Scope: local filesystem (learnings.md in memory dir). No network access. Not for: saving full session context (use memory_checkpoint), tracking milestone progress (use update_milestones).

How to use update_learnings

Provide only the required inputs below. Start with the smallest scope that answers the task, then review the risk properties before an agent executes the call.

Risk and execution properties

Read only: no

Destructive: no

Idempotent: no

Open world: no — operates locally or through configured services

Inputs

learningstringrequired

The insight or learning to record. Be specific and actionable.

categorystring

Optional category tag. Example: 'architecture', 'debugging', 'patterns', 'gotcha'.

sourcestring

Optional context — where or how this was learned. Example: 'PyGithub 2.x migration'.

Example input

{
  "learning": "<string>",
  "category": "<string>",
  "source": "<string>"
}

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