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/hindsight-memory

@a133cc1
by vectorize-iovectorize-io/hindsight44k stars
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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.

Use this Skill: https://skilld.dev/gh/vectorize-io/hindsight/hindsight-memory

This session only. Nothing lands on disk.

SKILL.md

≈98 tokens always: the name and description. ≈584 when used: this file.

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.

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub4d

    This skill provides instructions for an agent to interact with a long-term memory engine named Hindsight. It defines how to store, retrieve, and synthesize context across sessions. The skill includes security-conscious instructions, specifically advising the agent not to retain secrets or sensitive information in the memory bank.

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  • Snyk4d

    Risk: LOW · No issues

Signed by skilld at a133cc1. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 17 hours ago.

Activeupdated 2 months ago

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