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EXP-01CATEGORY: AgentsSTATUS: IN DEVELOPMENT

Agentic Workflow Engine

Stateful multi-agent execution framework with deterministic tool calling, dynamic re-planning, and transactional rollback loops.

EXPERIMENTAL OVERVIEW & OBJECTIVE

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.

SYSTEM ARCHITECTURE SPECIFICATION

Stateful Execution DAG Generator

Typed JSON Schema API Tool Binding

Automatic Retry & Branching Fallback Logic

Sub-Agent Consensus Protocol

CURRENT BENCHMARK STATE

Benchmarking 1,000 parallel execution loops with zero state corruption.

FUTURE ENGINEERING DIRECTION

Integrating local SLM fallback models for zero-latency tool routing.

TECHNOLOGY STACK & INFRASTRUCTURE
LangGraphPythonFastAPIRedisPostgreSQL

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