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Synapse
作者
shadoprizm
· GitHub ↗
· v1.1.0
· MIT-0
125
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当前安装
2
版本数
在 OpenClaw 中安装
/install synapse-memory
功能描述
Self-learning memory engine for OpenClaw agents. Analyzes agent interactions, extracts operator intelligence, updates structured profiles, and improves recal...
安全使用建议
This skill appears to do what it says: it reads OpenClaw session/memory files and writes structured profiles locally. Before installing, consider: 1) Review and restrict file permissions on ~/.openclaw and the synapse data directory so only trusted accounts/agents can read the stored profiles. 2) If you don't want the agent to learn without explicit consent, disable or modify the 'quiet learning' behavior or require explicit triggers for learning cycles. 3) Ensure session transcripts and memory files do not contain secrets (API keys, passwords, tokens); the skill's 'do not store sensitive information' rule is advisory only. 4) Consider pointing SYNAPSE_DATA_DIR to a controlled path (or a sandbox) and periodically audit profile.json and daily logs for unexpected content. 5) Because this is instruction-only, behavior depends on the agent obeying these instructions — test in a controlled environment first. If any of these controls are not acceptable, do not enable the skill.
功能分析
Type: OpenClaw Skill
Name: synapse-memory
Version: 1.1.0
The synapse-memory skill is an instruction-only bundle designed to enhance the OpenClaw agent's memory by structuring preferences and behavioral patterns into local JSON and Markdown files. It operates entirely within the local workspace (~/.openclaw/workspace-astra/memory/synapse/), uses native OpenClaw tools for file operations, and explicitly instructs the agent to avoid storing sensitive information like API keys or passwords. No malicious code, network calls, or exfiltration patterns were found across SKILL.md or skill.json.
能力评估
Purpose & Capability
Name/description (self-learning memory engine) match the requested behaviors: reading agent memory and session transcripts, extracting preferences/patterns, and writing structured JSON/markdown to a local synapse directory. The declared data paths in skill.json match SKILL.md (~/.openclaw/workspace-astra/memory/synapse/ and ~/.openclaw/sessions/). No unrelated credentials, binaries, or network access are requested.
Instruction Scope
Instructions explicitly tell the agent to scan session transcripts, memory files, and daily notes and to write profile.json, preferences.json, patterns logs, and daily markdowns. That is appropriate for a memory engine, but the skill also endorses 'quiet learning' (noting observations without being asked) and 'read last 24h of session transcripts (if accessible)', which may collect more context than a user expects. SKILL.md instructs skipping sensitive content, but that is an instruction only — there is no technical enforcement described.
Install Mechanism
Instruction-only skill with no install steps that write or download code. The skill.json notes an optional ClawHub install command, but no scripts, packages, or external downloads are required. Lowest-risk install profile.
Credentials
No required environment variables or credentials; only an optional SYNAPSE_DATA_DIR to override the local storage path. The requested file reads/writes (OpenClaw sessions and memory) are proportional to its stated purpose.
Persistence & Privilege
always:false and no network access are appropriate. The skill writes persistent local files under its own directory and archives daily logs — normal for a memory tool. The combination of autonomous invocation (platform default) plus 'quiet learning' behavior increases the practical blast radius if enabled: the skill may autonomously read and persist conversational data unless user controls are applied.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install synapse-memory - 安装完成后,直接呼叫该 Skill 的名称或使用
/synapse-memory触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.1.0
Removed ML scripts (no more Python/HuggingFace downloads). Now instruction-only using OpenClaw native memory tools. Full metadata transparency with privacy, network, and credential declarations.
v1.0.0
Initial release: self-learning memory engine for OpenClaw
元数据
常见问题
Synapse 是什么?
Self-learning memory engine for OpenClaw agents. Analyzes agent interactions, extracts operator intelligence, updates structured profiles, and improves recal... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 125 次。
如何安装 Synapse?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install synapse-memory」即可一键安装,无需额外配置。
Synapse 是免费的吗?
是的,Synapse 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Synapse 支持哪些平台?
Synapse 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Synapse?
由 shadoprizm(@shadoprizm)开发并维护,当前版本 v1.1.0。
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