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hippocampus-memory-core

Deterministic external memory for OpenClaw and coding agents using S3-Hipokamp. Use for storing durable facts, retrieving prior decisions, snapshotting memory, and restoring agent state.

cezexpl0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install cezexpl/hippocampus-memory-core

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Hippocampus Memory Core

Use this skill when you need long-term memory that survives the current turn.

Use It For

  • storing key decisions and facts that should outlive the current session
  • searching past architecture, deployment, or debugging context
  • creating snapshots before risky changes
  • restoring memory after migration or environment reset

Preferred Flow

  1. Check that Hippocampus configuration is present.
  2. Store only high-signal facts, not raw transcript spam.
  3. Search memory before repeating costly investigation.
  4. Snapshot before major refactors or rollout changes.
  5. Restore only into the correct agent or workspace scope.

Guidance

  • Prefer deterministic retrieval over ad hoc summaries.
  • Keep memory namespaced by workspace and agent.
  • Use metadata to mark project, topic, and task boundaries.
  • Treat memory as durable infrastructure, not scratchpad overflow.
  • If configuration is missing, send the user to hippocampus-openclaw-onboarding instead of asking for a raw API key first.

Related

  • hippocampus-openclaw-onboarding for first-time setup
  • hippocampus-subagent-memory for isolated child-agent memory
  • @hippocampus/openclaw-context-engine for native OpenClaw lifecycle integration

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/cezexpl/hippocampus-memory-core
Version
—
Commit
35cc9887f049b090e4d33fddee00f60d9282cc81
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# Hippocampus Memory Core

Use this skill when you need long-term memory that survives the current turn.

## Use It For

- storing key decisions and facts that should outlive the current session
- searching past architecture, deployment, or debugging context
- creating snapshots before risky changes
- restoring memory after migration or environment reset

## Preferred Flow

1. Check that Hippocampus configuration is present.
2. Store only high-signal facts, not raw transcript spam.
3. Search memory before repeating costly investigation.
4. Snapshot before major refactors or rollout changes.
5. Restore only into the correct agent or workspace scope.

## Guidance

- Prefer deterministic retrieval over ad hoc summaries.
- Keep memory namespaced by workspace and agent.
- Use metadata to mark project, topic, and task boundaries.
- Treat memory as durable infrastructure, not scratchpad overflow.
- If configuration is missing, send the user to `hippocampus-openclaw-onboarding`
  instead of asking for a raw API key first.

## Related

- `hippocampus-openclaw-onboarding` for first-time setup
- `hippocampus-subagent-memory` for isolated child-agent memory
- `@hippocampus/openclaw-context-engine` for native OpenClaw lifecycle integration

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