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Agent Memory

作者 Dennis · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
30673
总下载
32
收藏
464
当前安装
1
版本数
在 OpenClaw 中安装
/install agent-memory
功能描述
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
安全使用建议
Install only if you want an agent to keep local cross-session memory. Do not store API keys, passwords, financial details, confidential business data, or unnecessary personal information. Review or delete the SQLite database periodically, and consider a separate custom database path for different projects or users.
功能分析
Type: OpenClaw Skill Name: agent-memory Version: 1.0.0 The OpenClaw AgentMemory skill bundle is a self-contained, SQLite-based persistent memory system for AI agents. All code and documentation are aligned with its stated purpose of storing facts, lessons, and entities. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, obfuscation, or prompt injection attempts against the analyzing agent. The skill uses standard Python libraries, manages its database in a user-specific directory (`~/.agent-memory/memory.db`), and explicitly states 'No external dependencies' in `requirements.txt`, indicating a low supply chain risk.
能力评估
Purpose & Capability
The storage and recall features match the stated persistent-memory purpose, including facts, lessons, entities, search, deletion, cleanup, and export. Stored content may include user or relationship details, so users need data-handling discipline.
Instruction Scope
The skill suggests adding a session-start and session-end memory protocol to agent instructions. This is disclosed and purpose-aligned, but it can influence future sessions through saved memories.
Install Mechanism
No install script, package install hook, external dependency, or obfuscated setup behavior was found. requirements.txt states that it uses only the Python standard library.
Credentials
The default database path is ~/.agent-memory/memory.db, with custom-path and in-memory options. Local persistence is proportionate to the purpose, and the artifacts do not show credential access, broad file indexing, or network transmission.
Persistence & Privilege
Persistence is explicit and central to the skill. It creates a local SQLite database and provides user-callable deletion and cleanup methods, with no evidence of background daemons, privilege escalation, or hidden persistence.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install agent-memory
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /agent-memory 触发
  4. 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
v1.0.0
Initial release - SQLite-backed persistent memory for AI agents
元数据
Slug agent-memory
版本 1.0.0
许可证
累计安装 990
当前安装数 464
历史版本数 1
常见问题

Agent Memory 是什么?

Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 30673 次。

如何安装 Agent Memory?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install agent-memory」即可一键安装,无需额外配置。

Agent Memory 是免费的吗?

是的,Agent Memory 完全免费(开源免费),可自由下载、安装和使用。

Agent Memory 支持哪些平台?

Agent 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 Agent Memory?

由 Dennis(@dennis-da-menace)开发并维护,当前版本 v1.0.0。

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