Built for AI engineers · Loxihart Topology Engine

Visualize your agent topology in 3D

Design, explore, and share complex multi-agent architectures. Generate graphs with AI, apply layouts, inspect live telemetry, and export in seconds.

3D Multi-Agent Execution Mesh & Trust Perimeter
LOXIHART LATTICE · 3D TOPOLOGY SCHEMATIC
3D Multi-Agent Execution Mesh & Trust Perimeter
Inspect node-level latency, security zone boundaries, and real-time token telemetry across every hop.
4K TOPOLOGY STAGE
12,400+
Graphs created
9 templates
Agent patterns
2,800+
Engineers using
Worker-ManagerChain-of-ThoughtRAG PipelineReAct LoopMulti-Agent DebateEvent-Driven

Everything you need

From quick sketches to production-grade architecture diagrams.

AI-Powered Generation

Describe your architecture in plain English and watch it become a 3D graph instantly.

3D Interactive Topology

Navigate complex agent graphs in real-time 3D with node inspection and live status.

Security Boundaries

Visualize trust zones, auth flows, and secret scopes across your agent mesh.

Share & Collaborate

Generate share links and compare two graphs side-by-side with diff highlighting.

Template Library

Jump-start with 9 pre-built patterns: RAG pipeline, ReAct loop, Worker-Manager, and more.

Reports & Analytics

Execution reports, cost breakdowns, and latency heatmaps baked in.

Real pain. Real cost.

5 problems every AI team hits

Multi-agent systems break in ways traditional tools can't see. Here is what engineering teams deal with every week, and how Loxihart Lattice solves each one.

The problem

Cascading failures are invisible until production breaks

In tightly-connected multi-agent systems, one agent passing bad data silently corrupts downstream agents. By the time a user sees wrong output, the root cause is buried 6 hops back in a log no one can read.

How we solve it

Loxihart Lattice maps every dependency visually. You spot the propagation path before it reaches prod.

The problem

Agent memory drift kills reliability

As token contexts grow, agents forget or contradict earlier decisions. Distributed AI teams spend hours tracing which agent 'forgot' a constraint, with no visual map of how memory flows between nodes.

How we solve it

Live mode and playback replay exactly how state changed hour-by-hour across your graph.

The problem

Security boundaries are undocumented and untested

Agents often access secrets, APIs, and private data with no documented trust perimeter. Security audits fail because no one can show which agents touch what: the architecture only exists in someone's head.

How we solve it

Security zone overlays make trust boundaries explicit and shareable with auditors in one click.

The problem

LLM cost overruns are hard to attribute

A single misconfigured agent can loop endlessly, burning thousands of tokens per hour. Without node-level cost visibility, teams only find out at billing time, with no way to trace which node caused it.

How we solve it

Per-node cost and latency metrics surface runaway agents before the invoice arrives.

The problem

Onboarding new engineers to agentic systems takes weeks

Multi-agent architectures live in README files, Notion docs, and tribal knowledge. New team members or stakeholders need weeks before they can contribute meaningfully, if they ever fully understand the system.

How we solve it

A shareable 3D graph is the onboarding doc. Spin up new engineers in minutes, not weeks.

Simple pricing

Start free. Upgrade when you're ready.

Free
$0/mo

Perfect for exploration

  • Up to 3 graphs
  • All 9 templates
  • Basic export (JSON)
  • Community patterns
Most popular
Pro
$29/mo

For serious engineers

  • Unlimited graphs
  • AI generation (100/day)
  • PNG & PDF export
  • Live mode simulation
  • Security overlay
  • Share links
  • Priority support

Ready to map your agent architecture?

Join 2,800+ engineers visualizing their AI systems with Loxihart Lattice.

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