v2.0 Now Available

The Foundation for
Superintelligent Swarms

The fastest, most secure, open-source multi-agent orchestration runtime. Ditch the legacy limits of OpenClaw, AutoGen, and LangGraph. Achieve infinite cognitive scale.

< 10µs
Node Boot Time
O(1)
Memory Complexity
Zero
Context Bloat
100%
Hermetic Isolation

Built for production at scale.

Catalyst fundamentally rethinks agentic architecture to solve the core bottlenecks of early AI frameworks.

🛡️

Hermetic Compute Nodes

Our proprietary execution sandboxes spin up in less than 10 microseconds. Safely execute untrusted Python, Rust, and arbitrary binaries without risking host machine compromise or standard Docker overhead.

🚀

Zero Context Bloat

Standard agents see a proven 9.5% reasoning degradation from heavy MCP file dumps. Catalyst bypasses this entirely, compressing incoming payloads directly into advanced continuous arrays for pristine LLM attention.

🧠

O(1) Memory Engine

Your agent never hits a token limit. We route data through proprietary geometric states, giving the orchestrator infinite, instant recall across your entire multi-agent swarm regardless of conversation length.

Why upgrade from OpenClaw?

Legacy systems like OpenClaw, AutoGen, and LangGraph force you into linear graphs, bloated context windows, and insecure local execution. Catalyst is the modern alternative.

OpenClaw / AutoGen

Context fills up fast. Slow Docker cold-starts. Brittle string-matching prompt engineering.

Catalyst Omni

O(1) Geometric Memory. 10µs Sandboxing. Deep semantic routing between specialized expert models.

Deploy in seconds

Drop-in replacement for any Python application requiring intelligent agent routing.

main.py
# Install via pip: pip install catalyst-omni-sdk

from catalyst import OmniRouter

# Initialize the O(1) Memory Engine
router = OmniRouter(
    model="bedrock.claude3",
    memory_type="geometric",
    isolation_level=True
)

# Execute in a micro-sandbox
result = router.execute(
    "Analyze server logs in hermetic mode and deploy hotfix."
)

print(result.status) # "Deployed successfully in 42ms"