Ejentum

Inject engineered cognitive abilities into AI agents at inference time to prevent reasoning decay.

Ejentum is a reasoning harness for agentic AI that injects structured cognitive abilities into LLM agents at inference time. With 679 abilities across four harnesses—Reasoning, Code, Anti-Deception, and Memory—it prevents reasoning decay in multi-step chains. Agents call Ejentum as a tool mid-task and receive a cognitive operation matched to their problem, improving reliability, auditability, and cost-efficiency. Compatible with any LLM and major frameworks like LangChain, CrewAI, and n8n via API or MCP.

Freemium

€5

How to use Ejentum?

Integrate Ejentum as a tool in your AI agent's loop. Sign up for a free API key, then call the Ejentum API from your agent's code using the provided endpoint. The API returns a cognitive operation (JSON) containing a failure guard, step-by-step approach, reasoning structure, target pattern, shortcuts to suppress, and falsification check. Inject this into your agent's context before task execution. For no-code setups, wire Ejentum as a tool node in n8n or Make.com. For MCP clients, connect to api.ejentum.com/mcp. Use the dynamic mode for speed or adaptive mode for tailored reasoning.

Ejentum 's Core Features

679 engineered cognitive abilities across 4 harnesses

Dynamic and adaptive reasoning modes

Inference-time injection prevents reasoning decay

Multi-step chain reliability improvement (up to 100% pass rate on code tasks)

Anti-deception: sycophancy rate dropped to 5.8% in benchmarks

Model-agnostic: works with any instruction-following LLM

MCP server and framework integrations (LangChain, CrewAI, n8n, etc.)

Ejentum 's Use Cases

Multi-step planning and reasoning agents

Code agents that write or debug software across multiple files

Research agents that need to self-verify and avoid false hypotheses

Customer-facing chatbots that must resist flattery and fabrication

Memory-intensive agents tracking context drift across long conversations

Complex data analysis pipelines with compounded error risk

Agent chains where accuracy compounds over steps

Ejentum 's Pricing

Free trial

€0

1,000 dynamic calls, 30 days, no card

Go

€5

1,000 dynamic + 250 adaptive calls/month

Super

€25

5,000 dynamic + 1,500 adaptive calls/month

Ejentum 's FAQ

Most impacted jobs

Software Engineer

AI Engineer

Data Scientist

Machine Learning Engineer

Product Manager

Researcher

Developer Advocate

Ejentum 's Tags

#AI Agent #Reasoning #LLM #Middleware #MCP #Cognitive Abilities #Agent Reliability #Inference

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