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SymbolicAI

A neurosymbolic perspective on LLMs

Our verdict

Not reviewed yet

We have not reviewed SymbolicAI yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About SymbolicAI

SymbolicAI is a Python framework that combines neural networks with symbolic reasoning to structure LLM outputs. It uses differentiable programming to integrate logical constraints and probabilistic inference into language model workflows.

Best for

Developers building applications that need structured, logical reasoning from LLMs

Use cases

  • Building structured reasoning pipelines with LLMs
  • Enforcing logical constraints on model outputs
  • Creating hybrid neurosymbolic applications

Notes

1,719 stars on GitHub. Last updated 2026-05-18. Licensed BSD-3-Clause.

Pros

  • Bridges neural and symbolic approaches for more reliable outputs
  • Leverages differentiable programming for flexible integration
  • Active open-source community with 1.7k stars

Cons

  • Requires understanding of both neural networks and symbolic logic
  • Limited to Python ecosystem
  • May have a steeper learning curve for pure ML practitioners

Key facts

What we have checked

Days since the last commit
4
Checked GitHub
GitHub forks
98
Checked GitHub
GitHub stars
1,776
Checked GitHub
Days to a first reply on issues
1.5
Checked GitHub
Open issues
0
Checked GitHub
Releases in the last 90 days
3
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Health and security

Is SymbolicAI looked after, and what do its setup files show

Health score

100 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 4 days ago
Releases15 of 153 releases in 90 days
Issue replies20 of 20First reply in 1.5 days (median)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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