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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.

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SKILL.md(原文)

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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 HINDSIGHT_BANK_ID), 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(query: "how do we deploy the API and which region")

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").
retain(content: "The user deploys the API to us-east-1 via GitHub Actions on push to main.")

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(query: "What has repeatedly caused our CI to flake, and what should we standardize?")

reflect is slower and disposition-aware; use it deliberately, not for lookups.

Bank scope

All tools operate on the bank selected by the connection (HINDSIGHT_BANK_ID, 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.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Keep a durable record of work passed between Bots in the shared Hindsight memory bank. Use when handing work to another Bot, when picking up work another Bot started, and when a finding would help other Bots, including Bots that are not part of the current conversation.

日本語の概要は準備中です。原文の説明を表示しています。

vectorize-io/hindsight4.8万2026年10月10日 更新

Review changed code against project standards. Checks for missing tests, dead code, type safety, lint issues, and coding conventions. Run after completing any implementation work.

日本語の概要は準備中です。原文の説明を表示しています。

vectorize-io/hindsight4.8万2026年10月10日 更新

Create a new Hindsight-powered subagent with long-term memory. Use when the user wants a specialized agent that learns and remembers across sessions.

日本語の概要は準備中です。原文の説明を表示しています。

vectorize-io/hindsight4.8万2026年10月10日 更新

figure

無料

Draw an animated figure (boxes, arrows, moving data) as one self-contained SVG for a GitHub README, PR, issue or blog post. Use when a change or an explanation needs a diagram — how a request flows, what a background job does, what a feature changed — or when the user asks for a diagram, figure, animation or "show it visually". The docs site's own pages use the interactive player instead (see step 4).

日本語の概要は準備中です。原文の説明を表示しています。

vectorize-io/hindsight4.8万2026年10月10日 更新

Expert memory architect. Understands your application, identifies where memory adds value, and produces an implementation plan with bank config, tag schema, and code.

日本語の概要は準備中です。原文の説明を表示しています。

vectorize-io/hindsight4.8万2026年10月10日 更新

Store team knowledge, project conventions, and learnings from tasks. Use to remember what works and recall context before new tasks. Connects to Hindsight Cloud. (user)

日本語の概要は準備中です。原文の説明を表示しています。

vectorize-io/hindsight4.8万2026年10月10日 更新

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