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Ejentum

Retrieve a task-matched cognitive operation from the Ejentum Reasoning Harness and inject it into the next LLM step. Each operation is engineered in two layers: a natural-language procedure plus an executable reasoning topology (graph DAG with gates, parallel branches, and meta-cognitive exits). Eight modes: four dynamic (reasoning, code, anti-deception, memory) plus four adaptive (adaptive-reasoning, adaptive-code, adaptive-anti-deception, adaptive-memory) that pre-fit the operation to your task via an adapter LLM. Dynamic available on all tiers including the 30-day free trial; adaptive requires Go or Super.

Actions8

Adaptive Memory Harness

AI-generated

Summary

Fetches a task-matched memory-focused cognitive scaffold from the Ejentum Reasoning Harness API, rewritten by an adapter LLM to fit your specific observation, so it can be injected into a later LLM step. Requires a Go or Super Ejentum tier.

Inputs

  • Query (required) — Short description of the task or observation (e.g. cross-turn drift or contradiction) the harness should fit. Trimmed before sending; empty or whitespace-only values throw an error.

Output shape

One output item per input item, with json containing mode ("adaptive-memory"), query (the trimmed query), and response (the raw API response from Ejentum).

The structure of response is defined by the Ejentum API and not by the node. Each output item is paired to its input item. With Continue On Fail enabled, a failed item returns { error: message } instead. The request is a POST to the credential's baseUrl, or https://api.ejentum.com/harness/ if none is set, and is authenticated with the ejentumApi credential.

Examples

Example 1: Sharpen an observed contradiction across chat turns before an agent replies.

Operation: Adaptive Memory Harness; Query: "user's stated budget contradicts earlier turn; reconcile before answering". Pass json.response into the next LLM prompt.

Example 2: Use per-item queries from upstream data in a batch.

Query set to an expression like {{ $json.observation }}; each item produces its own scaffold.

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