Agent skill · vectorize-io

hindsight-memory

Long-term memory for the agent via Hindsight. Use to recall relevant past context before answering, retain durable facts as you learn them, and reflect over accumulated memory for the "why" behind a decision. Load whenever continuity across sessions matters — the user refers to earlier work, states a lasting preference, or asks a question that prior context could answer.

What it needs

About 2k tokens when loaded.

What this skill does

Hindsight long-term memory This plugin connects the agent to Hindsight, a long-term memory engine. Memory persists across sessions in a bank (scoped by HINDSIGHTBANKID), so what you retain now is available to recall in future conversations. The hindsight MCP server exposes the tools below. Prefer these over guessing from scratch when the answer might live in past context. When to recall (read memory) Call recall at the start of a task, or whenever the user: refers to earlier work, a past decision, or "the thing we set up", states a preference or constraint that may already be recorded, asks a question that accumulated project/user context could answer. recall runs semantic + keyword + graph + temporal retrieval and returns the most relevant memories. Ground your answer in what comes back, and say when nothing relevant was found rather than inventing continuity. When to retain (write memory) Call retain when you learn something durable and reusable — worth having in a future session, not just this one: stable user preferences ("prefers pnpm; deploys from main only"), project facts and decisions ("staging DB is Postgres 16 on Neon"), outcomes and gotchas ("the flaky test was a timezone bug, fixed in #482"). Do not retain transient chatter, secrets, or anything the user asked you to keep out of memory. Retain the fact, not the whole transcript. When to reflect (reason over memory) Call reflect when a single recall is too shallow and you need synthesized reasoning over everything remembered — the why behind a behavior, or a judgment that weighs many facts together: reflect is slower and disposition-aware; use it deliberately, not for lookups. Bank scope All tools operate on the bank selected by the connection (HINDSIGHTBANKID, default default). One bank = one memory store — keep a project's or a user's memory in its own bank so context stays isolated and relevant. You never pass a bank id to a tool; it is implicit from the endpoint.

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills vectorize-io/hindsight-memory

View the source on GitHub

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