https://pypi.org/project/langchain-ejentum/ Recent updates to the Python Package Index for langchain-ejentum en https://pypi.org/project/langchain-ejentum/0.2.0/ LangChain integration for the Ejentum Reasoning Harness. Eight BaseTool subclasses: four dynamic (reasoning, code, anti-deception, memory) and four adaptive (adaptive-reasoning, adaptive-code, adaptive-anti-deception, adaptive-memory) that pre-fit the operation to the task via an adapter LLM. Each call returns a structured cognitive injection: a natural-language procedure plus an executable reasoning topology. info@ejentum.com Sun, 31 May 2026 12:49:01 GMT https://pypi.org/project/langchain-ejentum/0.1.0/ LangChain integration for the Ejentum Reasoning Harness. Four BaseTool subclasses (reasoning, code, anti-deception, memory) an agent calls before generating. Each call returns a task-matched cognitive operation engineered in two layers: a natural-language procedure plus an executable reasoning topology (graph DAG with gates, parallel branches, and meta-cognitive exits). info@ejentum.com Sun, 24 May 2026 10:14:09 GMT