← 返回 Skills 市场
82
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install proclaw-omni-memory-ultimate
功能描述
Integrates 8-layer memory with autonomous self-driven, self-evolving, self-learning, and core axis systems for intelligent agent cognitive architecture.
安全使用建议
This skill contains many non-trivial Python modules that implement local memory, embedding, HNSW indexing, dream/daemon systems, a federation module, and an autonomous-agent core. Before installing or running it: (1) Review the full SKILL.md and the omitted files (especially memory_federation.py, dream_daemon.py, autonomous_agent_core.py) for any outbound network calls, hard-coded endpoints, or code that reads /etc, home directories, or environment variables. (2) Run it in an isolated environment (VM or container) and monitor network traffic and spawned processes. (3) Do not provide API keys or credentials until you confirm exactly which external services (if any) are required and why. (4) Ask the publisher for full documentation, the purpose of the federation feature, and a canonical homepage/source repo; the listed website/contact look minimal and the package author is unknown. If you can share the full contents of the omitted files (or SKILL.md remainder), I can re-evaluate and narrow the risk assessment.
能力评估
Purpose & Capability
The name/description (an 8‑layer memory + autonomous core) align with the provided modules (embedding, HNSW index, dream/creativity, backup, multimodal, federation, autonomous agent core). The code files reflect the claimed functionality rather than something unrelated (e.g., no obvious crypto-miner or cloud-deploy code in the snippets).
Instruction Scope
SKILL.md and init scripts instruct creating workspace directories and writing WAL-style session/memory files (expected). However the repository also contains components named memory_federation, dream_daemon, autonomous_agent_core and daemon-like scripts — these imply background processes and potential network interaction or autonomous actions which are not described in SKILL.md's declared dependencies or environment variables. The SKILL.md is large/truncated here, so there is uncertainty about runtime instructions to start daemons or contact external endpoints.
Install Mechanism
No install spec is provided (instruction-only style), so nothing is automatically downloaded or written by an installer. That lowers install-time risk. Note: the package includes substantial Python scripts which an agent could be instructed to run; those would perform file I/O and possibly network I/O at runtime.
Credentials
No environment variables, credentials, or config paths are declared, yet the codebase contains federation and multimodal components that commonly require network endpoints or API keys. The absence of declared secrets/endpoints is an inconsistency — either the skill is purely local (safe-ish) or it hides external communication/credential needs in code (risky).
Persistence & Privilege
always:false and no special OS restrictions are set (normal). But files include daemon and autonomous-agent modules which could be run by an agent to gain persistent background activity; that capability is not balanced by explicit install rules or declared permissions in SKILL.md.
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 proclaw-omni-memory-ultimate - 安装完成后，直接呼叫该 Skill 的名称或使用
/proclaw-omni-memory-ultimate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
v1.0.0
Proclaw-Omni-Memory-Ultimate 1.0.0 – initial release:
- Introduces an 8-layer memory architecture supporting cellular, semantic, evolutionary, proactive, cognitive, dormancy, robustness, and multimodal layers.
- Integrates 4-phase autonomous agent core: Self-Driven Engine, Self-Evolution Core, Self-Learning Engine, and Core Axis System.
- Enables agents with intrinsic motivation, proactive evolution, self-learning, multi-axis cognitive/value/growth development, and breakthrough capabilities.
- Provides unified APIs and dedicated scripts for each autonomous phase and memory layer.
- Systematic directory structure requirements and core Python dependency listings included.
元数据
常见问题
proclaw-omni-memory-ultimate 是什么？
Integrates 8-layer memory with autonomous self-driven, self-evolving, self-learning, and core axis systems for intelligent agent cognitive architecture. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 82 次。
如何安装 proclaw-omni-memory-ultimate？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install proclaw-omni-memory-ultimate」即可一键安装，无需额外配置。
proclaw-omni-memory-ultimate 是免费的吗？
是的，proclaw-omni-memory-ultimate 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
proclaw-omni-memory-ultimate 支持哪些平台？
proclaw-omni-memory-ultimate 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 proclaw-omni-memory-ultimate？
由 thinkbugs（@thinkbugs）开发并维护，当前版本 v1.0.0。
推荐 Skills