Agent Memory Guide
Easily build and manage persistent memory for AI agents to improve workspace indexing, directive compliance, and accurate agent behavior.
Browse real agent setups, inspect what is inside them, and publish your own prompts, skills, workflows, and integrations.
Search across names, README, and tags. Find, install, and reuse faster.
Easily build and manage persistent memory for AI agents to improve workspace indexing, directive compliance, and accurate agent behavior.
Quickly set up a proactive, memory-rich OpenClaw agent with prebuilt skills, scheduled tasks, and persistent learning in just five minutes.
This workspace template helps OpenClaw users organize agent, tool, identity, and memory configurations for streamlined project setup and management.
Self-improving OpenClaw starter kit - an AI that proactively builds knowledge and becomes a domain expert
OpenClaw workspace
Lets OpenClaw users coordinate multiple autonomous agents across different machines for distributed task management and orchestration.
Dvorah is a local-first AI assistant workspace that helps users automate tasks, synthesize information, and support personal workflows in OpenClaw.
A ready-to-use OpenClaw workspace for deploying and governing AI agents under strict constitutional and oversight rules, tailored for the arifOS stack.
Configure, customize, and manage OpenClaw AI assistants and related projects in a modular workspace.
Provides a workspace for managing OpenClaw agents, projects, and memory for enhanced agent organization and operations.
Backup and management repository for OpenClaw workspace configurations and user-defined skills.
Automate multi-agent coding sessions in OpenClaw with event-driven dispatch, token tracking, and Telegram alerts using tmux.