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verified live · 20h ago
agenttune
Personality tuning files for AI agents: 43 MIT-licensed tunings + 5 inline personality tests.
Tools
3
GitHub stars
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Installs / wk
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Licence
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Transport
streamable-http
Last checked
20h ago
Tools & capabilities
3 toolsRead from the running server on 20h ago.
get_test_spec
read-only
test*
Fetch a complete, self-contained test specification as Markdown: full item list, response scale, scoring algorithm, and the mapping from result to tuning slug. Administer the items… Fetch a complete, self-contained test specification as Markdown: full item list, response scale, scoring algorithm, and the mapping from result to tuning slug. Administer the items to the user inline (bulk-paste is fine), score per the algorithm, then call get_tuning. Tests: mbti (OEJTS, 32 items, ~5 min), enneagram (OEPS, 36, ~5 min), disc (ODAT, 16, ~3 min), attachment (ECR-R, 36, ~5 min), big-five (IPIP-50, 50, ~7 min → maps to ocean files).
get_tuning
read-only
slug*system*
Fetch one tuning file as Markdown with YAML front-matter. The front-matter is machine-readable install metadata (install.surfaces = where to write it per agent surface, verify.prob… Fetch one tuning file as Markdown with YAML front-matter. The front-matter is machine-readable install metadata (install.surfaces = where to write it per agent surface, verify.probe = how to confirm it took effect); the body is the behavioral tuning to load as system-prompt content. MIT licensed.
list_tunings
read-only
system