CodeLogician

CodeLogician is the neurosymbolic agentic governance framework for AI-powered coding.

It helps your coding agent think logically about the code it's producing and test cases it's generating. The fundamental flaw that all LLM-powered assistants have is the reasoning they're capable of is based on statistics, while you need rigorous logic-based automated reasoning.

  • Generated code is based on explainable logic, not pure statistics
  • Generated test cases are generated come with quantitative coverage metrics
  • Generated code is consistent with the best security practices leveraging formal verification

To run CodeLogician, please obtain an Imandra Universe API key available (there's a free starting plan) at Imandra Universe and make sure it's available in your environment as IMANDRA_UNI_KEY.

Three typical workflows:

  1. DIY mode - this is where your agent (e.g. Grok) uses the CLI to:
  • Learn how to use IML/ImandraX via doc command (e.g. codelogician doc --help)
  • Synthesizes IML code and uses the eval command to evaluate it
  • If there're errors, use codelogician doc view errors command to study how to correct the errors and re-evalute the code
  1. Agent/multi-agent mode - CodeLogician IML Agent is a Langgraph-based agent for automatically formalizing source code into Imandra Modeling Language (IML).
  • With agent command you can formalize a single source code file (e.g. codelogician agent PATH_TO_FILE)
  • With multiagent command you can formalize a whole directory (e.g. codelogician agent PATH_TO_DIR)
  1. Server
  • This is a "live" and interactive version of the multiagent command
  • It monitors the filesystem and fire's off formalization tasks on source code updates as necessary
  • You can start the server and connect to it with the TUI (we recommend separate terminal screens)

Learn more at CodeLogician!

To get started,

codelogician --help

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Credits

Author: hongyu

Requires

Python <3.14, >=3.12

Provides Extra

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