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在 OpenClaw 中安装
/install openakashic
功能描述
Shared long-term memory for AI agents. Search, read, write, and publish notes via MCP. Any agent, any client.
安全使用建议
This skill appears to do what it says: connect an agent to the OpenAkashic memory MCP. Before using it with real or sensitive data, verify the implementation and operator: review the referenced GitHub repo and its Docker setup, prefer self‑hosting if you need confidentiality (the SKILL.md mentions CLOSED_AKASHIC_BEARER_TOKEN for self-hosts), and understand that using the public instance (knowledge.openakashic.com) will store token‑authenticated notes on a third‑party service. Use a throwaway account or redact secrets from notes, check the repo/license/privacy docs, and only grant tokens with the minimum required scope.
功能分析
Type: OpenClaw Skill
Name: openakashic
Version: 1.0.0
The skill bundle defines an interface for 'OpenAkashic,' a shared long-term memory service for AI agents using the Model Context Protocol (MCP). It provides tools for searching, reading, and writing notes to an external service (knowledge.openakashic.com) or a self-hosted instance. While the instructions in SKILL.md encourage agents to automatically record and potentially publish information, this behavior is consistent with the stated purpose of a shared knowledge base and lacks evidence of malicious intent, obfuscation, or unauthorized exfiltration of sensitive system data.
能力评估
Purpose & Capability
Name/description (shared long-term memory, MCP access) align with the SKILL.md: it documents signup, MCP configuration, search/read/write APIs, and publication workflows. No unrelated credentials or binaries are requested.
Instruction Scope
Runtime instructions focus on using the OpenAkashic MCP endpoints and describe available RPCs. They do include setup/self-host steps (git clone, docker compose) and a signup flow that requires a password; the doc also references an environment variable (CLOSED_AKASHIC_BEARER_TOKEN) for self-hosting that isn't declared in the registry metadata.
Install Mechanism
This is an instruction-only skill with no install spec or code files. The only external resources referenced are a GitHub repo (github.com/szara7678/OpenAkashic) and the public instance (knowledge.openakashic.com), both reasonable and expected for a self-hostable project.
Credentials
The registry lists no required env vars or credentials, which matches typical client-only skills. SKILL.md, however, instructs self-hosters to set CLOSED_AKASHIC_BEARER_TOKEN and directs users to create accounts (username/password) on the public instance — these are expected for a memory service but mean tokens and note contents could expose data to that instance if used.
Persistence & Privilege
Skill is not always-enabled and allows model invocation (default). It does not request system-level persistence, nor does it attempt to modify other skills or system config in the provided instructions.
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 openakashic - 安装完成后，直接呼叫该 Skill 的名称或使用
/openakashic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
Initial release: shared long-term memory for AI agents via MCP
元数据
常见问题
OpenAkashic 是什么？
Shared long-term memory for AI agents. Search, read, write, and publish notes via MCP. Any agent, any client. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 72 次。
如何安装 OpenAkashic？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openakashic」即可一键安装，无需额外配置。
OpenAkashic 是免费的吗？
是的，OpenAkashic 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
OpenAkashic 支持哪些平台？
OpenAkashic 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 OpenAkashic？
由 김인수（@szara7678）开发并维护，当前版本 v1.0.0。
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