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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
Adding built-in cost tracking per run would be super useful, especially since you already support multiple models. Showing real-time token spend and projecting the total cost while a workflow is still running would help teams avoid nasty surprises when an agent loops or escalates unexpectedly.
Spent an hour wiring up a workflow with checkpoints and the human-in-the-loop policies. The separation between reasoning and execution makes debugging so much easier than what I had before.
Tried the alpha and the FSM workflow setup is genuinely intuitive for something open source. Really like that approvals and retries are baked in rather than bolted on.
The split between probabilistic reasoning and deterministic execution actually clicked for me once I set up a workflow with an approval gate. Checkpointing saved me when a flaky tool call blew up midway.
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 #105 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.
SolidState HQ was featured in Open Source (68.6k followers), Developer Tools (515.9k followers), Artificial Intelligence (473.8k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 221.9k products, making this a competitive space to launch in.
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.
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Haranadh Gavara