AI that actually executes. Without losing control.
Magnus turns unpredictable LLMs into reliable execution systems with human oversight and full auditability built in.
The Shift to Execution
Magnus replaces fragmented AI calls with a unified agent execution runtime.
Legacy Web Apps
- Isolated prompt-response calls
- Fragile custom glue logic
- Deterministic paths require hardcoding
- No state awareness between interactions
- Black-box decision making
Agent Execution Runtime
- Active decision-driven agents
- Engine decides the optimal next step
- Native execution of system actions
- Persistent state and execution context
- Fully auditable reasoning traces
Real Execution in Action
See how a Magnus agent executes a complex IT Support workflow within defined constraints.
Engine identified high-priority account lockout. Retrieving security constraints and selecting optimal recovery action.
Confirming lockout status was cleared. Verifying if a new password was sent via secondary email.
AI is powerful. But it’s not reliable.
LLMs are unpredictable. They can hallucinate or make wrong decisions. There's no real visibility into how they reach a decision. They are not reliable for executing critical processes.
That’s why most AI never leaves experimentation.
Unpredictability
Hallucinations
Black Box
Lack of Control
"That’s why most AI never leaves experimentation."
Magnus brings control to AI execution
Three pillars designed for enterprise trust.
Total Control
Define rules, permissions, and limits. Agents do not act freely, but within your constraints.
Human in the Loop
Define mandatory approval points. You decide when AI acts alone and when it requires human intervention.
Full Auditability
All actions are recorded. Understand exactly what the AI did, why it did it, and when.
Magnus is an Operating System for Agents
From prompts to execution.
Magnus provides the decision engine where agents maintain state, execute actions, and operate within defined rules, context, and system constraints.
Agents operate within defined rules, context, and system constraints.
Execution Loop
Execution Capabilities
- Persistent state
- Structured execution
- Decision-driven agents
Evolution Path
- Self-correcting loops
- Multi-agent swarms
- Full structured feedback
The difference is execution,
not just generation.
What is Magnus Core
Infrastructure to operate AI, not another LLM wrapper.
What it IS
- A decision engine at its core
- A centralized LLM Gateway
- A policy and security engine
- A memory and context layer (RAG)
What it is NOT
- A generic 'no-code' chatbot
- A simple OpenAI wrapper
- An isolated vector database
- A UI design tool
Unlock decision-driven
agents in 3 steps
Move beyond simple responses to agents that execute real actions and manage state — without changing your stack.
1. Run
Inject your existing models into the Magnus execution system.
2. Decide
Set the behavioral constraints and decision-making logic for your agent.
3. Act
Run agents that execute real actions across your systems.
Runtime Capabilities
Native agent execution. Everything you need to scale agent-driven operations.
True Multi-tenancy
Total isolation of state, actions, and keys per organization.
Execution Gateway
Multi-provider runtime with automatic failover across OpenAI, Gemini, Grok, and more.
Decision Engine
Deterministic engine that operates within defined rules and coordinates cross-system actions.
Knowledge & Context
Shared knowledge injection from your private systems. Exact citations and state-aware retrieval.
Persistent State
Long-term memory that maintains agent context and user preferences across thousands of interactions.
System Actions
Pre-built actions for CRM, ERP, IT Support, and custom APIs. Ready to execute out of the box.
Outcome Engine
Transforms agent reasoning into structured execution over real systems.
Human Loop
Smart handoff to human operators when the agent detects ambiguity — maintaining full state context.
Full Observability
Real-time dashboard for costs, actions, and tokens. Every agent decision is auditable.
Magnus Agents works because Magnus Core solves the hard parts.
Magnus allows you to automate complex processes without sacrificing security or control.
-60%
Human operational load
24/7
Real availability
Built for real-world execution
Security and trust at every layer of the product.
No black boxes
No hidden decisions, everything is transparent.
Full traceability
All actions are auditable in real-time.
Role-based permissions
Granular control over who can do what.
Controlled autonomy
AI operating on your terms, always.
Magnus is not another LLM wrapper
The difference lies in control, supervision, and traceability.
It's not just text generation
It's not a chatbot
It's a controlled execution layer
Frequently Asked Questions
LLMs are probabilistic and change over time. Magnus transforms them into deterministic tools. We wrap the model's intelligence with a 'Decision Engine' that ensures business rules are always met, regardless of the LLM's variability.
LangChain is great for low-level prototyping. Magnus is an agent execution runtime designed for enterprise production. We prioritize predictability and deterministic decisions over experimental autonomy.
Agents can interact with Jira, schedule appointments, manage tickets, and any REST API. We are constantly expanding our library and adopting the MCP (Model Context Protocol) standard for maximum compatibility.
Still have questions?
Join our developer community or speak with an expert.
Stop experimenting with AI. Start executing with control.
Build reliable agents today.