Agentic Workflow Engine
Stateful multi-agent execution framework with deterministic tool calling, dynamic re-planning, and transactional rollback loops.
An experimental framework designed to run autonomous agents over complex enterprise business processes. The system decomposes user goals into structured DAG execution graphs.
The Research Challenge
Standard LLM chains fail on multi-step tasks when tool calls return unexpected data or when intermediate API state changes require dynamic re-planning.
Engineering Approach
We implement a state-machine architecture using stateful memory checkpoints and schema-enforced tool interfaces with strict validation.
Stateful Execution DAG Generator
Typed JSON Schema API Tool Binding
Automatic Retry & Branching Fallback Logic
Sub-Agent Consensus Protocol
Benchmarking 1,000 parallel execution loops with zero state corruption.
Integrating local SLM fallback models for zero-latency tool routing.
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Discuss how our research prototypes can be hardened into commercial software for your enterprise.
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