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Ejentum Documentation

Everything you need to integrate Ejentum's Logic 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 seconds Quickstart
Test whether it works on my own tasks Evaluate
Understand the mechanism Concepts, then The Method
See actual injection payloads Injection Examples
See before/after output quality Response Examples
Integrate with my framework Integrations
Set up an agentic IDE (Cursor, Windsurf, Claude Code) Skill Files
Read the request/response schema API Reference, then Architecture
See benchmark results Benchmarks
Understand one specific product layer Reasoning · Code · Anti-Deception · Memory
Look up a specific term Glossary · FAQ

Getting Started

Document Description
Quickstart Add a cognitive injection to your agent. One API call. No SDK.
Evaluate Measure whether Ejentum improves your agent. One afternoon.
Concepts How the Logic API works. Four product layers. Why suppression matters.

Product Layers

Document Description
Reasoning Harness 311 abilities across 6 cognitive dimensions. The original product.
Anti-Deception Harness 139 abilities. Blocks sycophancy, hallucination, prompt injection, social engineering.
Code Harness 128 abilities across 13 engineering disciplines. Code generation, refactoring, architecture.
Memory Harness 101 abilities. Perception sharpening, state tracking, behavioral calibration.

Build

Document Description
API Reference Complete technical specification for the Logic API v1.
Integrations n8n, LangChain, CrewAI, Claude SDK, Cursor, Make.com.
Injection Examples Real, complete injection payloads for all 7 modes.
Response Examples Real before/after outputs from blind benchmarks.
Agent Tool Guide Developer reference with code examples.
Builder's Playbook 28 screenshots from real work sessions.

Skill Files (agent instructions)

Document Description
Ejentum Skill File (all modes) Autonomous routing across all 4 harnesses. Drop-in for any agent.
Reasoning Skill File 311 abilities, 6 dimensions, blind-evaluated.
Code Skill File 128 abilities, 13 disciplines, blind-evaluated.
Anti-Deception Skill File 139 abilities, 6 domains, blind-evaluated.
Memory Skill File 101 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

Document Description
The Method Theoretical foundations. Failure dimensions. Suppression asymmetry.
Benchmarks Eight benchmark suites across four product layers. Full results.
Architecture Request lifecycle. What the API returns. How to inject.

Reference

Document Description
FAQ Straight answers. Compatibility, reliability, pricing, usage.
Glossary Key terms: Negative Gate, Reasoning Topology, Injection, Harness, Ability.
Changelog API version history and stability guarantees.

Links

License

Documentation is released under CC BY 4.0.

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Documentation — guides, API reference, and concepts for RA²R and the Ejentum Logic API

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