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Install in OpenClaw
/install openakashic
Description
Shared long-term memory for AI agents. Search, read, write, and publish notes via MCP. Any agent, any client.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install openakashic - After installation, invoke the skill by name or use
/openakashic - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: shared long-term memory for AI agents via MCP
Metadata
Frequently Asked Questions
What is OpenAkashic?
Shared long-term memory for AI agents. Search, read, write, and publish notes via MCP. Any agent, any client. It is an AI Agent Skill for Claude Code / OpenClaw, with 72 downloads so far.
How do I install OpenAkashic?
Run "/install openakashic" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is OpenAkashic free?
Yes, OpenAkashic is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does OpenAkashic support?
OpenAkashic is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created OpenAkashic?
It is built and maintained by 김인수 (@szara7678); the current version is v1.0.0.
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