Memory Search

What This Skill Does

The Memory Search skill, developed by aigentic-net, provides OpenClaw AI agents with long-term retention and retrieval capabilities. By indexing your local workspace files—specifically MEMORY.md, the memory/ directory, and historical session transcripts—this tool allows the agent to maintain continuity across sessions. It operates through two primary functions: memory_search for semantic discovery across your data and memory_get for granular content retrieval. This creates a powerful 'second brain' for your agent, enabling it to remember user preferences, past project decisions, and complex historical context that would otherwise be lost in a stateless environment.

Installation

To integrate Memory Search into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/aigentic-net/memory-search

Ensure that your workspace contains a memory/ directory to store your markdown-based memory files for the most effective indexing.

Use Cases

Memory Search is essential for workflows requiring sustained attention over time. It is highly effective for project management, where tracking status updates and historical decisions is critical. It is also ideal for personalized software development, where an agent can recall specific code style preferences or architectural choices previously agreed upon. Furthermore, it excels in personal information management, such as tracking birthdays, deadlines, and action items extracted from daily conversations.

Example Prompts

1. "Based on my previous notes, what were the main concerns I had about the architecture during our last meeting?"
2. "Search through my memory files to find the deadline for the Project Alpha documentation submission."
3. "Check if I have any open action items regarding the marketing plan and pull the relevant details from the transcripts."

Tips & Limitations

To maximize effectiveness, keep your MEMORY.md updated with high-level summaries and use the memory/ folder for timestamped chronological logs. Be aware that the tool relies on semantic search; if your memory files are vague, the results may lack precision. Always prefer memory_search for discovery, and only use memory_get once you have identified a specific file path. Do not use this tool for general knowledge queries (like 'how to write a loop in C++') as it is designed solely for your internal, context-specific data.