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~/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.

Updated marketGovernance queueEvidence queue
Use updates for

Freshness discovery

Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.

Use re-review for

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.
4938Updated in 180 days
35Active this year
14Aging source
13Stale source
Recent UpdatesLatest indexed candidates, profile records, trust review, review history, and pagination stay available here.
Updated in 180 daysbytedance/deer-flow

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

Profile
Review links
Profile JSONTrust JSONHistory JSON
Updated in 180 daysIvanMurzak/Unity-MCP

AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Efficient token usage, advanced tools. Any C# method may be turned into a tool by a single line. Works with Claude Code, Gemini, Copilot, Cursor and any other absolutely for free.

Profile
Review links
Profile JSONTrust JSONHistory JSON
Updated in 180 daysPV-Bhat/vibe-check-mcp-server

Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows. KISS your over-eager AI Agents goodbye! Effective for: Coding, Ambiguous Tasks, High-Risk tasks

Profile
Review links
Profile JSONTrust JSONHistory JSON
Recent page 409 / 417 · 5000 listings

PreviousNext pageNext page JSON

Stale WatchlistStale candidates, governance queue links, review history, and pagination stay available here.
Stale page 3 / 3 · 27 watchlist items

PreviousOpen governance queue

Review support

Review links

Freshness cards stay readable; re-review records and profile resources stay linked here.

Open Freshness feed JSON
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.
Freshness review path
  1. 01Site contextShared review rules
  2. 02Freshness watchOpen the focused review record
  3. 03Profile pageOpen the candidate page
  4. 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.