Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP — source available on GitHub.
AI / Catalogue record
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Catalogue record
github.com
when
📇 🏠 🍎 🪟 🐧 - Developer toolkit: auto-detect stack for AI context files, catch port conflicts, validate .env schemas, spot docs drift, audit d...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 16, 2026
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📇 🏠 🍎 🪟 🐧 - Developer toolkit: auto-detect stack for AI context files, catch port conflicts, validate .env schemas, spot docs drift, audit dependency licenses, and time coding tasks — 7 MCP tools, one install.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
@whenlabs/when
GitHub / WhenLabs-org/when
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- Listed in active catalogue
- Freshness
- Catalogue updated Oct 27, 2026
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- GitHub-backed record
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