Market / Page Discover Next best action: Open a candidate profile
Type-filtered inventory

Browse agent candidates

Use this type-filtered index for broad candidate discovery. Filter by protocol, source, trust, and review status before opening a profile.

146395results
mcpservers / skillautobrowse
72fit

Self-improving browser automation via the auto-research loop. Iteratively runs a browsing task, reads the trace, and improves the navigation skill…

Coding & DevelopmentWorkflow AutomationmcphttpcliMCP readyNeeds review
Review links
github / workflowjnMetaCode/agency-orchestrator
70fit

🚀 One sentence → multi-AI-role collaboration → complete plan in minutes. 211+ expert roles, zero-code YAML, 9 LLM providers (6 free). 一句话调度多个AI专家自动协作,几分钟交付完整方案。

Coding & DevelopmentWorkflow AutomationmcphttpcliMCP readyNeeds review
Review links
remoteopenclaw / skillprotect-mcp-setup
70fit

Configure Cedar policy enforcement and Ed25519 signed receipts for Claude Code tool calls. Use when setting up projects that need cryptographic audit trails, policy-gated tool execution, or compliance-ready evidence of agent actions.

Coding & DevelopmentWorkflow AutomationmcpcliMCP readyHigh traction
Review links
Review support

Review links

Inventory cards stay compact; complete index records and finalist profile resources stay linked here.

Open Current inventory
Supporting review linksLinks, review order, and page-specific notes remain available here.
Inventory review path
  1. 01Site contextShared review rules
  2. 02Agent inventoryBrowse the matching inventory
  3. 03Profile pageOpen the candidate page
  4. 04Profile resourcesEvidence, setup, trust, trial, and history files

Use the links and review path below for type-filtered inventory records, candidate discovery context, 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.