Code & Development · PyPI

autogen-ejentum

AutoGen tools for the Ejentum Reasoning Harness. Eight agent-callable async functions returned by ejentum_tools(api_key=...): 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 retrieves a structured cognitive injection: a natural-language procedure plus an executable reasoning topology.

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Details

Author
Ejentum
GitHub profile
@ejentum
Category
Code & Development
Platform
PyPI
GitHub
https://github.com/ejentum/autogen-ejentum
Framework
autogen
Language
python
Stars
0
First indexed
2026-06-01
Last active
—
Directory sync
2026-06-01
@ejentum

Overview

AutoGen tools for the Ejentum Reasoning Harness. Eight agent-callable async functions returned by ejentum_tools(api_key=...): 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 retrieves a structured cognitive injection: a natural-language procedure plus an executable reasoning topology.

Quick start

pip

pip install autogen-ejentum

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What autogen-ejentum can do

agentllmchataireasoning
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Chat — Holds free-form conversations with users.
  • Ai — ai task automation.
  • Reasoning — Works through multi-step problems with explicit logic.

Frequently asked questions

What is autogen-ejentum?
AutoGen tools for the Ejentum Reasoning Harness. Eight agent-callable async functions returned by ejentum_tools(api_key=...): 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 retrieves a structured cognitive injection: a natural-language procedure plus an executable reasoning topology.
How do I install autogen-ejentum?
Use pip: `pip install autogen-ejentum`. Full setup details on the source page linked above.
Is autogen-ejentum open source?
autogen-ejentum is published on PyPI.
What are alternatives to autogen-ejentum?
Comparable agents include ECC, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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