ExtensityAI/symbolicai

Health v2 · maintenance only

Adoption not part of the score

1777 stars · 97 forks observed · 2026-10-14

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

SymbolicAI is a Python neuro-symbolic framework that blends classical programming with LLM capabilities through composable Symbol primitives and contracts. It provides a modular engine system supporting custom engines, local models, and tool integrations like web search and image generation.

Use cases

• build neuro-symbolic applications that mix python logic with llm calls
• compose semantic operations on text like native python operators
• swap between cloud and locally hosted llm engines
• integrate web search or image generation into llm pipelines
• prototype probabilistic programming with large language models

When to choose

• you want llm calls embedded naturally into python code with composable primitives
• you need a modular framework to plug in custom or local llm engines
• you are exploring neuro-symbolic or probabilistic programming approaches to llms

When to avoid

• you need a simple chatbot wrapper with minimal abstraction
• you require a production-proven framework with a large community and ecosystem
• your project avoids experimental research-oriented frameworks

Facets

framework · maturity active

agent-framework llm-inference prompt-engineering sdk large-language-models artificial-intelligence machine-learning developer-tools python cross-platform neurosymbolic-ai probabilistic-programming llm-abstraction symbolic-programming

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ExtensityAI/symbolicai")