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Ejentum Documentation

Everything you need to integrate Ejentum's Ejentum API into your agent: from a 30-second curl call to the theoretical foundations behind suppression-driven reasoning.

These are the same documents rendered at ejentum.com/docs. Read them here or on the website: same content, your choice.


What is RA²R?

Most AI tools give agents more facts to work with (documents, data, context). Ejentum harnesses the reasoning power agents already have: structured injections that channel the model's existing capability into disciplined execution, preventing the shortcuts and decay that degrade output over long chains.

RA²R (Reasoning Ability-Augmented Retrieval) retrieves reasoning abilities. A structured injection that governs how the agent thinks: what to focus on, what failure modes to block, and how to verify its own output. Where RAG retrieves facts, RA²R retrieves ways of thinking.

679 abilities across four harnesses. One REST endpoint. No SDK.


Which doc do I need?

I want to...Read
Try it in 30 secondsQuickstart
Test whether it works on my own tasksEvaluate
Understand the mechanismConcepts, then The Method
See actual injection payloadsInjection Examples
See before/after output qualityResponse Examples
Integrate with my frameworkIntegrations
Set up an agentic IDE (Cursor, Windsurf, Claude Code)Skill Files
Read the request/response schemaAPI Reference, then Architecture
See benchmark resultsBenchmarks
Understand one specific product layerReasoning · Code · Anti-Deception · Memory
Look up a specific termGlossary · FAQ

Getting Started

DocumentDescription
QuickstartAdd a cognitive injection to your agent. One API call. No SDK.
EvaluateMeasure whether Ejentum improves your agent. One afternoon.
ConceptsHow the Ejentum API works. Four product layers. Why suppression matters.

Product Layers

DocumentDescription
Reasoning Harness311 abilities across 6 cognitive dimensions. The original product.
Anti-Deception Harness139 abilities. Blocks sycophancy, hallucination, prompt injection, social engineering.
Code Harness128 abilities across 13 engineering disciplines. Code generation, refactoring, architecture.
Memory Harness101 abilities. Perception sharpening, state tracking, behavioral calibration.

Build

DocumentDescription
API ReferenceComplete technical specification for the Ejentum API v1.
Integrationsn8n, LangChain, CrewAI, Claude SDK, Cursor, Make.com.
Injection ExamplesReal, complete injection payloads for all 7 modes.
Response ExamplesReal before/after outputs from blind benchmarks.
Agent Tool GuideDeveloper reference with code examples.
Builder's Playbook28 screenshots from real work sessions.

Skill Files (agent instructions)

DocumentDescription
Ejentum Skill File (all modes)Autonomous routing across all 4 harnesses. Drop-in for any agent.
Reasoning Skill File311 abilities, 6 dimensions, blind-evaluated.
Code Skill File128 abilities, 13 disciplines, blind-evaluated.
Anti-Deception Skill File139 abilities, 6 domains, blind-evaluated.
Memory Skill File101 abilities, two-pass protocol, blind-evaluated.

For MCP-speaking clients (Claude Code, Cursor, Cline, Windsurf, Continue), the same harnesses are also available as a packaged MCP server: github.com/ejentum/ejentum-mcp. Install with npx -y ejentum-mcp plus EJENTUM_API_KEY.

Understand

DocumentDescription
The MethodTheoretical foundations. Failure dimensions. Suppression asymmetry.
BenchmarksEight benchmark suites across four product layers. Full results.
ArchitectureRequest lifecycle. What the API returns. How to inject.

Reference

DocumentDescription
FAQStraight answers. Compatibility, reliability, pricing, usage.
GlossaryKey terms: Negative Gate, Reasoning Topology, Injection, Harness, Ability.
ChangelogAPI version history and stability guarantees.

Links

License

Documentation is released under CC BY 4.0.

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Documentation for the Ejentum Reasoning Harness. Guides, API reference, and concepts for the RA²R methodology and the Ejentum API.

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