Overview
- Skill Key
- cezexpl/hippocampus-memory-core
- Author
- cezexpl
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/cezexpl/hippocampus-memory-core
- Latest Commit SHA
- 35cc9887f049b090e4d33fddee00f60d9282cc81
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.
Stars
0
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0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 hippocampus-memory-core 技能。 若已安装,则直接安装 hippocampus-memory-core 技能。
# 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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