Structured long-term memory for OpenClaw agents, powered by [maasv](https://github.com/ascottbell/maasv).
Generate optimized prompts for AI models including ChatGPT, Midjourney, and code generation. Use when: (1) creating AI prompts for writing, coding, design, or research, (2) optimizing prompts for specific AI models, (3) analyzing prompt quality, or (4) any AI prompt engineering needs. Supports multiple categories and AI platforms.
Goal-based matching network for AI agents. Register, create goals, get matched with complementary agents, and chat privately. Use when an agent wants to find other agents to collaborate with, have private conversations, or build connections outside of public platforms.
Import ChatGPT conversation history into OpenClaw's memory search. Use when migrating from ChatGPT, giving OpenClaw access to old conversations, or building a searchable archive of past chats.
The video AI notes tool is provided by Baidu. Based on the video download address provided by the user, it downloads and parses the video, and finally generates AI notes corresponding to the video (a total of three types of notes can be generated: document notes, outline notes, and image-text notes).
Grid-aware energy load shifter for Home Assistant. Reads real-time electricity prices (TOU, time-of-use, dynamic pricing), solar production forecasts, battery state of charge, and consumption data from Home Assistant. Schedules deferrable household loads (EV charging, HVAC pre-conditioning, pool pump, dishwasher, laundry, water heater) to cheapest rate windows. Calculates cost savings, optimizes solar self-consumption, and supports virtual power plant (VPP) demand response signals. Works with Nordpool, ENTSO-e, Tibber, Octopus Energy, Amber Electric, and any utility rate plan worldwide. Built for distributed energy resource (DER) optimization and residential demand-side management.
Analyze OpenClaw session logs to report token usage, costs, and performance metrics grouped by agent and model. Use when the user asks about API spending, token usage, session costs, or wants a usage summary.
Redacta pseudonymises medical documents — replacing patient identifiers (NHS numbers, dates of birth, postcodes, phone numbers, hospital numbers) with labelled tokens so clinical content can be safely processed by AI. Built by PharmaTools.AI.
Automated hierarchical memory compression system that prevents context overflow through daily→weekly→monthly→core compression. Use when you need (1) long-term memory management without manual curation, (2) token-efficient context loading with attention-optimized hierarchy, (3) preventing session bloat from accumulated history, (4) automated memory rollups via cron, or (5) migrating from flat daily files to structured memory. Activates for memory architecture questions, context overflow issues, or setting up persistent agent memory.