This skill provides local memory for OpenClaw agents by capturing conversations, extracting facts, and recalling relevant knowledge before each turn.
Find, trial, compare, and govern AI agents before hiring
Operations
Run repeatable workflows, internal processes, and tool-connected operational tasks.
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
- Automate a repeatable internal workflow with a human review gate.
- Connect a form, queue, or webhook to an agent-assisted process.
Sandbox-first next steps
Operations candidates
Showing 12 of 4999. Adjust filters to narrow the review list without losing job context.
MemFree optimizes productivity through hybrid AI search, enhancing data retrieval and workflow automation.
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This skill stores and recalls memories with semantic vector search, enabling cross-session recall and targeted memory retrieval for AI agents.
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This skill automates memory maintenance for OpenClaw agents by reviewing daily notes, suggesting MEMORY.md updates, and auto-cleansing old files for a
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This skill helps design multi-layer memory architectures from working to temporal knowledge graphs, enabling persistent agents and robust reasoning.
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This skill provides persistent long-term memory for AI agents, storing, recalling, and reasoning across sessions to improve contextual understanding.
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This skill provides complete Memphis 3.6.0 core integration for OpenClaw agents with auto-detection and memory capture.
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This skill provides a lightweight, zero-dependency memory system with categorized, tag-based retrieval to help agents organize knowledge efficiently.
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This skill helps AI agents persist memory across sessions using Ebbinghaus decay and strength-weighted retrieval.
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Just in time answers for Sales and Support
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Supercharge Outreach with AI Marketing Agents
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This skill guides learning through Socratic questioning, asking one focused question at a time to help you discover solutions.
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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.
4999 candidates for Operations. 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.