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Autonomous Systems Lab • Level 700

Autonomous Agent Visual DAG & Workflow Builder

Design, simulate, and budget stateful multi-agent directed acyclic graphs (DAGs). Model hierarchical orchestration, self-healing reflection loops, microVM tool executions, and export production-ready PydanticAI and LangGraph code.

Hierarchical Orchestrator 4 Nodes
Planner decomposes prompt and fans out to specialized code & research workers.
Critic-Reflector Loop 5 Nodes
Self-healing test-driven synthesis with microVM sandbox execution ($k \le 5$).
Parallel Swarm Consensus 6 Nodes
Tri-agent parallel synthesis with majority Raft voting and outlier rejection.
Production CI/CD Gate 5 Nodes
Strict deterministic guardrails with human-in-the-loop authorization interception.
Hierarchical Orchestrator Architecture
Node Properties Planner Node
2K 32,000 tokens 128K
Pipeline Telemetry & Cost LIVE PREVIEW
Total Graph Nodes 4
Max Token Context 64,000 tok
KV Cache VRAM Footprint 1.25 GB
Est. End-to-End Latency 4.8 s
Estimated Cost / Run $0.042

        

Mastering Autonomous Agent Topologies

Explore the foundational engineering literature on multi-agent consensus, memory persistence, and sandbox security.