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synthetic-supermemory合成超级记忆

Agent Skill

synthetic-supermemory 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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周安装

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1,629
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:synthetic-supermemory(合成超级记忆)
来源仓库:https://github.com/kitsune/synthetic-supermemory
安装命令:
openclaw skills install synthetic-supermemory
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install synthetic-supermemory

简介

全自动将会话记录转化为结构化日常记忆并入库超级记忆系统。

  • 适用于长期知识积累、经验复用或个性化记忆增强场景。
  • 采用语义索引技术实现高效检索与上下文关联推荐。synthetic-supermemory 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 默认开启加密存储,支持按标签分类与时间线回溯查询。
  • 建议定期导出记忆快照以防意外丢失重要信息片段。

SKILL.md

name
synthetic-supermemory
description
Full automated memory pipeline for OpenClaw agents. Scribe session transcripts into structured daily memory files, ingest them into Supermemory for semantic recall, and retrieve enriched context at session startup. Use when you want persistent memory across sessions without agent self-reporting. Triggers on requests like "set up memory", "remember sessions", "recall context", "ingest memory files", "search memories", or any task requiring long-term agent memory. Requires SUPERMEMORY_API_KEY and OPENAI_API_KEY (or ANTHROPIC_API_KEY).
metadata
openclaw
emoji
🧠
requires
bins
["node"]
env
["SUPERMEMORY_API_KEY", "OPENAI_API_KEY"]
primaryEnv
SUPERMEMORY_API_KEY

synthetic-supermemory

Full memory pipeline for OpenClaw agents. Three components that work together:

session transcripts
      ↓ scribe.js (hourly system cron)
memory/YYYY-MM-DD.md
      ↓ ingest.js (every 2h system cron)
Supermemory (containerTag per agent)
      ↓ recall.js (session startup)
enriched context

No gateway involvement. No context bloat. Fully automated.

⚠️ Privacy notice

scribe.js sends conversation transcript content to an external LLM (OpenAI or Anthropic) for summarization. If your sessions contain secrets, API keys, or PII — be aware that content will be sent to the provider. Use a dedicated low-privilege API key with spend limits.

Quick setup

# Install dependencies
cd /path/to/skills/synthetic-supermemory && npm install

# Store keys securely (do NOT put secrets in crontab)
mkdir -p ~/.openclaw/secrets
echo "sk-your-openai-key" > ~/.openclaw/secrets/scribe-key && chmod 600 ~/.openclaw/secrets/scribe-key
echo "sm-your-supermemory-key" > ~/.openclaw/secrets/supermemory-key && chmod 600 ~/.openclaw/secrets/supermemory-key

# Test scribe (dry-run)
SUPERMEMORY_API_KEY=$(cat ~/.openclaw/secrets/supermemory-key) \
node scripts/scribe.js \
  --agents-dir ~/.openclaw/agents \
  --all-sessions \
  --memory-dir ~/.openclaw/workspace/memory \
  --api-key-file ~/.openclaw/secrets/scribe-key \
  --dry-run

# Test recall
SUPERMEMORY_API_KEY=$(cat ~/.openclaw/secrets/supermemory-key) \
node scripts/recall.js --container my-agent

Cron setup (add via crontab -e)

# Scribe active sessions hourly
0 * * * * SUPERMEMORY_API_KEY=$(cat ~/.openclaw/secrets/supermemory-key) node /path/to/synthetic-supermemory/scripts/scribe.js --agents-dir ~/.openclaw/agents --all-sessions --memory-dir ~/.openclaw/workspace/memory --api-key-file ~/.openclaw/secrets/scribe-key >> /tmp/scribe.log 2>&1

# Ingest changed memory files into Supermemory every 2 hours
0 */2 * * * SUPERMEMORY_API_KEY=$(cat ~/.openclaw/secrets/supermemory-key) node /path/to/synthetic-supermemory/scripts/ingest.js --dir ~/.openclaw/workspace/memory --container my-agent >> /tmp/ingest.log 2>&1

Scripts

ScriptPurposeUsage
scribe.jsSummarize session transcripts → daily memory files + SupermemoryHourly cron
ingest.jsIngest changed memory files → Supermemory (upsert, change-tracked)Every 2h cron
recall.jsRetrieve context at session startupSession start
add.jsAdd a single memory from CLI or stdinOn demand
search.jsSemantic search across memoriesOn demand

scribe.js options

FlagDescriptionDefault
--agents-dir <dir>OpenClaw agents directory
--all-sessionsScribe all recently active sessions
--sessions <dir>Single agent sessions directory
--session-id <id>Specific session UUID
--auto-session <key>Auto-resolve session by key suffix
--memory-dir <dir>Directory for daily memory filesrequired
--provider <name>LLM provider: openai or anthropicauto-detected
--model <model>Summarization modelgpt-4o-mini
--api-key-file <path>LLM API key file (600 permissions)
--sm-container <tag>Supermemory container override--agent value
--agent <id>Agent label for memory headersagent
--active-within-hours <n>Only scribe sessions active within window1
--min-turns <n>Minimum new turns before scribing3
--dry-runPrint without writingfalse

ingest.js / recall.js / search.js / add.js options

All take --container <tag> to namespace memories per agent.

# Ingest a directory
node scripts/ingest.js --dir ~/.openclaw/workspace/memory --container sapphire

# Recall context at session start
node scripts/recall.js --container sapphire --query "recent projects and identity"

# Add a one-off memory
node scripts/add.js --container sapphire --content "Kitsune prefers dark mode"

# Search
node scripts/search.js --container sapphire --query "TokTeam deployment"

References

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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