memory-setup

To set up persistent memory for an AI agent, you configure memory search parameters and directory structures by adding JSON configuration to your clawdbot.json file. This enables long-term context retention and indexing of memory files, sessions, and logs.

AI assistants forget project details between sessions because they lack persistent memory by default. You can resolve this issue by configuring memory search parameters and modifying agent configuration files like AGENTS.md to utilize memory recall before answering questions.

The best way to structure long-term memory for Clawdbot is to organize data into a clear directory structure separating long-term memory, daily logs, and project-specific context. This facilitates effective recall and personalized interactions across multiple sessions.

Yes, you can configure agent behavior directives to use memory recall automatically by modifying your AGENTS.md file. This instructs the AI agent to search indexed memory files and logs before answering questions, ensuring context continuity.

No, persistent memory search requires configuring specific directory structures and memory search parameters to function effectively. Proper indexing of memory files, sessions, and logs is necessary for the agent to retain long-term context and track projects.