ExtensityAI/symbolicai

A neurosymbolic perspective on LLMs

75
/ 100
Verified

Combines native Python syntax with semantic reasoning by introducing `Symbol` objects that transparently switch between syntactic (fast, local) and semantic (LLM-powered) evaluation modes via `.sem`/`.syn` projections. Implements Design by Contract using Pydantic-compatible data models with declarative validation, automatic remediation strategies, and retry logic to ensure LLM outputs meet constraints—replacing trial-and-error testing with upfront correctness guarantees.

1,677 stars and 2,722 monthly downloads. Used by 1 other package. Actively maintained with 36 commits in the last 30 days. Available on PyPI.

Maintenance 23 / 25
Adoption 19 / 25
Maturity 18 / 25
Community 15 / 25

How are scores calculated?

Stars

1,677

Forks

83

Language

Python

License

BSD-3-Clause

Last pushed

Mar 10, 2026

Monthly downloads

2,722

Commits (30d)

36

Dependencies

29

Reverse dependents

1

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