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SolidState HQ
A deterministic runtime for safe, controllable AI agents
SolidState is an open-source runtime for building safe and controllable AI agents. It separates probabilistic reasoning from deterministic execution, giving the runtime control over state transitions, tools, approvals, retries, concurrency, persistence, and limits. The alpha release includes FSM workflows, human-in-the-loop policies, parallel tools, checkpointing, StateGraph orchestration, actor-based concurrency, tracing, and multi-model support.
I built SolidState because I kept seeing the same problem in agentic AI systems: the model was being asked to reason and control execution at the same time.
LLMs are excellent at interpreting intent, planning steps, and proposing actions, but production systems need deterministic behaviour around tool access, retries, approvals, state transitions, concurrency, and failure handling. Prompt-level guardrails alone are not enough when an agent can modify data, call external services, or trigger business operations.
That led to the core principle behind SolidState:
**The model reasons. The runtime controls execution.**
SolidState uses a deterministic finite state machine to manage the execution lifecycle around the model. It provides typed runtime state, bounded loops, policy-based Allow/Reject/Interrupt decisions, human approval workflows, checkpointing, parallel tool execution, multi-agent StateGraph orchestration, tracing, and actor-based concurrency.
The design evolved from a set of architecture discussions and implementation experiments into a working open-source framework. The current alpha release is intentionally focused on making runtime behaviour explicit, inspectable, and extensible rather than hiding everything behind another abstraction layer.
This is still an early release, so feedback is especially valuable. I would love to hear from developers, architects, and researchers working on agent runtimes, AI governance, multi-agent systems, and production LLM applications.
🌐 Website: [https://solidstatehq.ai](https:/...
💻 GitHub: [https://github.com/gavarah/solid...
📦 PyPI: [https://pypi.org/project/solidst...
📄 Technical report: [https://zenodo.org/records/21401...
Install with:
pip install solidstate-fsm
About SolidState HQ on Product Hunt
“A deterministic runtime for safe, controllable AI agents”
SolidState HQ was submitted on Product Hunt and earned 12 upvotes and 7 comments, placing #73 on the daily leaderboard. SolidState is an open-source runtime for building safe and controllable AI agents. It separates probabilistic reasoning from deterministic execution, giving the runtime control over state transitions, tools, approvals, retries, concurrency, persistence, and limits. The alpha release includes FSM workflows, human-in-the-loop policies, parallel tools, checkpointing, StateGraph orchestration, actor-based concurrency, tracing, and multi-model support.
On the analytics side, SolidState HQ competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how SolidState HQ performed against the three products that launched closest to it on the same day.
Who hunted SolidState HQ?
SolidState HQ was hunted by Haranadh Gavara. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SolidState HQ including community comment highlights and product details, visit the product overview.
Haranadh Gavara