HLLM STUDIO
Choose a proven Topology, customize Agents and Build Reliably.
Learn about HLLM Studio
The Playground
Where Agent Systems Become Observable
The Playground is where your topology turns into a running system. Instead of guessing how agents behave inside a black box, you can watch execution unfold step by step, seeing which agent acts, what data it receives, and how decisions propagate through the system.This isn't just a chat interface. It's a live execution view of an agentic system.
The Playground is where trust is built, because you can finally see what your system is doing.
Topologies
Proven architectures for agent collaboration
HLLM Studio doesn't ask you to design agent systems from scratch. It gives you access to a growing library of pre-built topologies, architectural patterns that define how agents coordinate, reason, and make decisions together.
Each Topology Encodes:
- Collaboration logic
- Data routing
- Execution order
Built For Flexibility, Not Lock-in
HLLM includes 13 production-ready topologies, with 12 designed to be extensible and customizable.
You can adapt them to your use case, combine behaviors, and evolve systems over time, without rewriting orchestration code.
Grounded In Real Research
These architectures draw inspiration from established reasoning, collaboration, and planning patterns in multi-agent research, translated into a practical, production-ready platform.
The complexity lives inside HLLM. The outcomes are yours to explore.
These patterns are used to power reasoning, collaboration, and planning in real-world multi-agent systems.
The Agent Studio
Define Every Agent, Intentionally. The Agent Studio is where you configure the logic inside your system. A topology defines how agents collaborate and interact, the Studio defines how they behave.
Build & Equip
- System instructions, Define roles, responsibilities, and constraints
- Model selection, Assign the right model to the right job
- Tool selection, Equip agents with the right tools
- Memory configuration, Control contextual and long-term memory
Customize & Refine
- AI-assisted prompting, Generate, improve, or simplify prompts
- Sandboxed runs, Test agents in isolation before full execution
- Observable reasoning, Inspect how decisions are made
The Agent Studio ensures every agent has a clear purpose, not a vague prompt. This makes agent behavior easier to debug, cheaper to iterate on, and safer to ship.
Tool Registry
Give Agents Real Tools. TPMJS is the tooling layer that allows agents to act, not just respond.
With TPMJS, You Equip Agents With:
- Search
- Code Execution
- External APIs
- Custom tools
Each agent can have different tools, permissions, and responsibilities, enabling real division of labor across your system.
TPMJS turns agent systems into active problem-solvers, not passive responders.
Why HLLM exists
Building Agentic Systems From Scratch Is Hard.
You're managing prompt templates, agentic workflows, tool integrations, memory systems, and knowledge bases.
HLLM Studio provides the structure, tooling, and testing environment you need to reliably build agentic systems with confidence before shipping to production.
What teams use HLLM for
- Developing coordinated AI assistants
- Understanding multi-agent workflows
- Building multi-agent prototypes with confidence
- Evaluating different agent approaches live
- Benchmarking agent coordination strategies
- Understanding agent coordination patterns
If your system involves more than one agent, HLLM gives you structure.
Built For Builders & Researchers
HLLM is for
- Users
- Engineers
- Product builders
- Technical founders
- Teams building advanced AI
If you value
- Foundation over workarounds
- Transparency over black boxes
- Control over confusion
- Predictability over surprises
- Planning over patching
You’re in the right place.
Join the waitlist
We're onboarding a limited number of users and teams actively designing and testing production-grade agentic systems.
Join 1,000+ Users, Teams, and Developers already on the waitlist