SolidState: A Deterministic Finite State Machine Runtime for Safe and Concurrent Multi-Agent Orchestration

Autonomous agent architectures driven by Large Language Models (LLMs) often suffer from execution drift, non-deterministic loops, resource exhaustion, and security vulnerabilities during tool execution. In this paper, we introduce SolidState, an open-source, highly reliable agent orchestration runtime designed around the principles of deterministic Finite State Machines (FSMs). SolidState enforces a strict separation of concerns, treating the LLM as a probabilistic reasoning adapter while reserving state transitions, tool execution loops, and safety policies within a deterministic, type-safe runtime. We describe the core runtime loop, human-in-the-loop (HIL) governance policies, dynamic routing topologies via the StateGraph engine, and an isolated multi-threaded Actor model concurrency system. Finally, we provide performance benchmarks demonstrating the framework’s resource containment and latency advantages under production workloads.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-16
DOI
https://doi.org/10.5281/zenodo.21401499
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
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article

SolidState: A Deterministic Finite State Machine Runtime for Safe and Concurrent Multi-Agent Orchestration

Gavara Haranadh
Zenodo (CERN European Organization for Nuclear Research)
Multi-Agent Systems and Negotiation
article

SolidState: A Deterministic Finite State Machine Runtime for Safe and Concurrent Multi-Agent Orchestration

Gavara Haranadh
article en

Abstract

Autonomous agent architectures driven by Large Language Models (LLMs) often suffer from execution drift, non-deterministic loops, resource exhaustion, and security vulnerabilities during tool execution. In this paper, we introduce SolidState, an open-source, highly reliable agent orchestration runtime designed around the principles of deterministic Finite State Machines (FSMs). SolidState enforces a strict separation of concerns, treating the LLM as a probabilistic reasoning adapter while reserving state transitions, tool execution loops, and safety policies within a deterministic, type-safe runtime. We describe the core runtime loop, human-in-the-loop (HIL) governance policies, dynamic routing topologies via the StateGraph engine, and an isolated multi-threaded Actor model concurrency system. Finally, we provide performance benchmarks demonstrating the framework’s resource containment and latency advantages under production workloads.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Multi-Agent Systems and Negotiation
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