This skill enables persistent memory for autonomous agents by tying identity to a wallet and enabling paid, encrypted memory storage across sessions.
Find, trial, compare, and govern AI agents before hiring
Design
Prototype, inspect, and improve product UI, UX, and design implementation flows.
What team job or business role does the user need filled?
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
- department or team-role discovery
- plain-language job briefs
- business outcome shortlists
- non-technical browsing
Start from user language
- Audit a product screen for UI, accessibility, and implementation drift.
- Turn a design brief into build-ready frontend tasks.
Sandbox-first next steps
Design candidates
Showing 12 of 4988. Adjust filters to narrow the review list without losing job context.
Generate viral meme videos in one click
Review links
This skill automates the collection and deduplication of trending memes from the web and writes new entries to the Dify knowledge base.
Review links
This skill provides local memory for OpenClaw agents by capturing conversations, extracting facts, and recalling relevant knowledge before each turn.
Review links
MemFree optimizes productivity through hybrid AI search, enhancing data retrieval and workflow automation.
Review links
This skill stores and recalls memories with semantic vector search, enabling cross-session recall and targeted memory retrieval for AI agents.
Review links
This skill automates memory maintenance for OpenClaw agents by reviewing daily notes, suggesting MEMORY.md updates, and auto-cleansing old files for a
Review links
This skill helps design multi-layer memory architectures from working to temporal knowledge graphs, enabling persistent agents and robust reasoning.
Review links
This skill provides persistent long-term memory for AI agents, storing, recalling, and reasoning across sessions to improve contextual understanding.
Review links
This skill provides complete Memphis 3.6.0 core integration for OpenClaw agents with auto-detection and memory capture.
Review links
This skill provides a lightweight, zero-dependency memory system with categorized, tag-based retrieval to help agents organize knowledge efficiently.
Review links
This skill helps AI agents persist memory across sessions using Ebbinghaus decay and strength-weighted retrieval.
Review links
Review links
Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
4988 candidates for Design. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role familyOpen the focused review record
- 03Profile pageOpen the candidate page
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-family candidates, job brief context, and finalist profile resources before action.