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OpenClaw Memory
作者
WeAreAllSatoshi
· GitHub ↗
· v2.3.0
· MIT-0
10250
总下载
22
收藏
64
当前安装
7
版本数
在 OpenClaw 中安装
/install openclaw-mem
功能描述
Manage, optimize, and troubleshoot the OpenClaw memory system — MEMORY.md curation, daily logs (memory/YYYY-MM-DD.md), memory_search tuning, compaction survi...
安全使用建议
Install only if you want OpenClaw to maintain durable memory from sessions. Before enabling automatic flush behavior, review where memory is written, how entries can be inspected or deleted, and whether secrets or sensitive personal data are excluded. Prefer explicit approval for memory writes and be careful with any external embedding provider configuration.
功能分析
Type: OpenClaw Skill
Name: openclaw-mem
Version: 2.3.0
The skill bundle 'openclaw-mem' (v2.3.0) is a comprehensive documentation and instruction set for managing the OpenClaw agent's memory system. It details the architecture of daily logs and long-term memory files, provides guidance on using memory search tools, and explains configuration for embedding providers and context compaction. There is no evidence of malicious intent, data exfiltration, or harmful prompt injection; the content is entirely focused on legitimate RAG (Retrieval-Augmented Generation) optimization and troubleshooting within the OpenClaw ecosystem.
能力评估
Purpose & Capability
The stated purpose is OpenClaw memory management, and guidance about daily logs, long-term memory, memory search, embeddings, and context compaction fits that purpose.
Instruction Scope
The trigger scope appears broad for generic memory or context discussions; that is plausible for a memory helper but increases the chance the skill is invoked when the user only wanted advice, not persistence or maintenance.
Install Mechanism
The supplied metadata describes an OpenClaw skill documentation/instruction bundle, with no indicated package install hook, binary payload, or hidden installer behavior.
Credentials
Use of local memory files, logs, and optional embedding-provider configuration is proportionate for a memory skill, but these data flows may include sensitive conversational context.
Persistence & Privilege
The artifact reportedly describes an automatic memory flush that writes durable notes to disk silently; persistence is core to the skill, but the lack of clear user-visible review or consent is a material concern.
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 openclaw-mem - 安装完成后,直接呼叫该 Skill 的名称或使用
/openclaw-mem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
v2.3.0
**Expanded documentation and configuration details for OpenClaw memory.**
- Overhauled SKILL.md for clarity, setup, and troubleshooting guidance.
- Detailed file architecture: daily logs, long-term memory, AGENTS.md, and more.
- Added explicit triggers/use-cases for when to invoke the skill.
- Included configuration and operational details for compaction, memory flush, and retrieval.
- Comprehensive reference for memory_search, memory_get, search providers, and advanced features (temporal decay, MMR, QMD).
- Oriented for both new setup and deep optimization/debugging of OpenClaw memory systems.
v2.1.0
openclaw-mem 2.1.0
- Revised documentation for greater clarity and user-friendliness; simplified concepts and instructions.
- Added a TL;DR section and human-friendly rules for memory usage.
- Emphasized anti-patterns and concrete agent rules to prevent common mistakes.
- Streamlined examples and memory format explanations.
- No changes to code or file structure; this is a documentation-focused update.
v2.0.0
Version 2.0.0 is a major upgrade to openclaw-mem, focusing on a clearer, session-first architecture with enhanced durability and safer memory handling.
- Enforces a three-layer memory model: session memory (ephemeral), daily logs (operational notes), and durable memory (`MEMORY.md`).
- Durable knowledge is now explicitly written to `MEMORY.md` using ID-tagged entries for decisions, preferences, and policies.
- Introduces a pre-compaction flush mechanism to extract and store durable knowledge before session memory is compacted.
- Default retention is now non-destructive: daily logs are archived, not deleted, unless explicitly configured otherwise.
- Updated privacy safeguards: secrets and private blocks are never stored; only references or locations are noted.
- Retrieval is now based on progressive disclosure to minimize token usage and improve recall precision.
- Adds optional support for QMD (advanced local hybrid search) with auto-fallback.
v1.2.1
- Added structure
v1.2.0
**Daily automation and session reset workflow added for memory management**
- Added recommended cron schedule example for daily automatic memory cleanup.
- Documented daily reset workflow: librarian runs in background at night; user runs /reset in the morning for fresh context.
- Included best practices for minimizing token usage and maximizing long-term memory retention.
- No code/file changes; documentation update only.
v1.1.0
v1.1.0
Critical Documentation Fix
• Clarified Prerequisites: Added a prominent warning that experimental.sessionMemory MUST be enabled in OpenClaw config. Without this, the agent cannot access past sessions to generate summaries.
• Quick Setup: Added the exact CLI command (clawdbot config set...) and JSON snippet to the README to make setup instant.
Improvements
• Refined Description: Updated the description to focus on the core value: keeping the context window clean and efficient.
v1.0.0
Initial release of the Librarian skill. Adds intelligent auto-journaling and log pruning to keep context efficient.
元数据
常见问题
OpenClaw Memory 是什么?
Manage, optimize, and troubleshoot the OpenClaw memory system — MEMORY.md curation, daily logs (memory/YYYY-MM-DD.md), memory_search tuning, compaction survi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 10250 次。
如何安装 OpenClaw Memory?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-mem」即可一键安装,无需额外配置。
OpenClaw Memory 是免费的吗?
是的,OpenClaw Memory 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
OpenClaw Memory 支持哪些平台?
OpenClaw Memory 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 OpenClaw Memory?
由 WeAreAllSatoshi(@weareallsatoshin)开发并维护,当前版本 v2.3.0。
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