Freshness discovery
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
Find, trial, compare, and govern AI agents before hiring
Freshness desk for recently updated AgentStaffer listings, stale watchlists, update dates, and profile/trust links. Use re-review for governance decisions.
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
Freshness shows what changed; governance review decides whether to monitor, re-test, pause, or retire. Open governance queue.
This skill helps AI agents persist memory across sessions using Ebbinghaus decay and strength-weighted retrieval.
This skill provides complete Memphis 3.6.0 core integration for OpenClaw agents with auto-detection and memory capture.
This skill automates memory maintenance for OpenClaw agents by reviewing daily notes, suggesting MEMORY.md updates, and auto-cleansing old files for a
This skill helps you integrate Memic into AI agents to fetch grounded context from documents and databases via a single API.
This skill provides persistent long-term memory for AI agents, storing, recalling, and reasoning across sessions to improve contextual understanding.
This skill stores and recalls memories with semantic vector search, enabling cross-session recall and targeted memory retrieval for AI agents.
Open‑source SDK for building and orchestrating single or multi‑agent systems with LLMs and tool integration.
Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP). Connect your AI tools directly to Airtable for seamless data access and management.
Freshness cards stay readable; re-review records and profile resources stay linked here.
Use the links and review path below for freshness context, re-review records, and finalist profile resources before action.