8 projects
llama-index-tools-ejentum
LlamaIndex tool spec for the Ejentum Reasoning Harness. Wraps the hosted Ejentum MCP server and exposes eight cognitive harness tools as LlamaIndex FunctionTool objects: four dynamic (reasoning, code, anti-deception, memory) plus four adaptive variants (adaptive-reasoning, adaptive-code, adaptive-anti-deception, adaptive-memory) that pre-fit the cognitive operation to the caller's task via an adapter LLM.
pydantic-ai-ejentum
PydanticAI toolset for the Ejentum Reasoning Harness. EjentumToolset subclasses pydantic_ai.FunctionToolset and registers eight tools: four dynamic (reasoning, code, anti-deception, memory) plus four adaptive variants (adaptive-reasoning, adaptive-code, adaptive-anti-deception, adaptive-memory) that pre-fit the cognitive operation to the caller's task via an adapter LLM.
smolagents-ejentum
smolagents Tool subclasses for the Ejentum Reasoning Harness. Eight tools: 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.
letta-ejentum
Letta tools for the Ejentum Reasoning Harness. Eight agent-callable functions registered with a Letta server via tools.upsert_from_function: 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.
langchain-ejentum
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.
crewai-ejentum
CrewAI tool for the Ejentum Reasoning Harness. One agent-callable tool with a mode parameter covering eight modes: 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.
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.
agno-ejentum
Agno Toolkit for the Ejentum Reasoning Harness. Eight agent-callable methods: 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.
