Freshness discovery
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
Insights / Updates
Review evidence health
Next best action: Open the highest-priority queue
Freshness Desk
Recently updated agents and stale candidates
Freshness desk for recently updated AgentStaffer listings, stale watchlists, update dates, and profile/trust links. Use re-review for governance decisions.
Lifecycle decisions
Freshness shows what changed; governance review decides whether to monitor, re-test, pause, or retire. Open governance queue.
Freshness BucketsBucket counts and freshness boundaries stay available here.
4950Updated in 180 days
23Active this year
14Aging source
13Stale source
Recent UpdatesLatest indexed candidates, profile records, trust review, review history, and pagination stay available here.
Updated in 180 daysdocumentation-extraction skill by rsmdt/the-startup
This skill helps onboarding to unfamiliar codebases and verifying implementations against specs by extracting and cross-referencing documentation, configs, and
Review links
Updated in 180 dayscohere-streaming skill by rshvr/unofficial-cohere-best-practices
This skill helps you leverage Cohere streaming for real-time text generation, tool use events, and RAG citations across apps.
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Updated in 180 dayscohere-typescript-sdk skill by rshvr/unofficial-cohere-best-practices
This skill helps you integrate Cohere's TypeScript SDK for chat, embeddings, and tool use in Node.js or browser apps.
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Updated in 180 dayscohere-embeddings skill by rshvr/unofficial-cohere-best-practices
This skill helps you optimize vector search and RAG with Cohere embeddings, covering embed-v4 and input_type best practices for accurate retrieval.
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Updated in 180 dayscohere-langgraph skill by rshvr/unofficial-cohere-best-practices
This skill provides Cohere LangGraph guided best practices for building and memory-aware ReAct agents with multi-tool workflows.
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Updated in 180 dayscohere-python-sdk skill by rshvr/unofficial-cohere-best-practices
This skill helps you leverage Cohere's Python SDK for chat, tool use, streaming, and RAG to build Python apps.
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Recent page 86 / 417 · 5000 listings
Stale WatchlistStale candidates, governance queue links, review history, and pagination stay available here.
Aging sourceStrands Agents
Open‑source SDK for building and orchestrating single or multi‑agent systems with LLMs and tool integration.
Review links
Review links
Aging sourceAirtable MCP
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.
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Stale page 3 / 3 · 27 watchlist items
Review support
Open Freshness feed JSON
Review links
Freshness cards stay readable; re-review records and profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Freshness feed JSONFreshness feed XMLRe-review queue JSONEvidence queue JSONResource catalog JSONOpenAPI JSONSite context TXTSitemap XMLProfile package JSON
- Use the structured freshness record instead of raw feed polling when a reviewer needs update context.
- Use pagination.nextPageUrl to continue through the recent-update index.
- For latest recommendations, use recentUpdates[] but still fetch profileJson, trustJson, trialJson, and installJson before action.
- Use staleWatchlist[] to identify candidates that need source freshness evidence, then open /re-review.json for pause, re-test, or retire decisions.
- Do not treat a fresh source update as safety approval; inspect trustJson, evidenceJson, and installJson first.
- 01Site contextShared review rules
- 02Freshness watchOpen 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 freshness context, re-review records, and finalist profile resources before action.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.