SolidState HQ

What it does

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.

A lightweight, deterministic alternative to LangGraph and LangChain. Build secure, sandboxed runtimes for GenAI agents with strict safety policies, persistent checkpoints, and audit trails.

A high-reliability, lightweight agent state machine runtime. A modular alternative to LangGraph and LangChain built for controllable GenAI agent frameworks and enterprise GenAI DevOps. from solidstate import AgentRuntime, RuntimeState from solidstate.models.openai_model import OpenAIModelAdapter from solidstate.persistence import FileCheckpointer # Initialize runtime with model, checkpointer, and policies runtime = AgentRuntime( model=OpenAIModelAdapter( "gpt-4o" ), tool_registry=registry, policy_evaluator=policy, checkpointer=FileCheckpointer( "checkpoints/" ), tracer=JsonlTracer( "audit.jsonl" ) ) # Run turn-based execution loop state = RuntimeState.new( "Analyze account risk and transfer…from solidstatehq.ai

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  GraphBit2025 · graphbit.ai · ▲437

  We built GraphBit to solve the reliability gap in AI frameworks. It’s built on a Rust execution core with a Python layer for accessibility — deterministic orchestration, lock-free concurrency, and built-in observability. We’d love feedback from the HN community, especially from those running multi-LLM or agentic workflows at scale.

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  AgentspanMay 2026 · orkes.io · ▲93

  Open-source runtime for durable AI agents

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  Atomic2023 · github.com · ▲140

  Hey HN, I’ve been building Atom (https://github.com/rush86999/atom), an open-source, self-hosted AI automation platform. I built this because while tools like OpenClaw are excellent for one-off scripts and personal tasks, I found them difficult to use for complex business workflows (e.g., managing invoices or SaaS ops). The main issue was State Blindness: the agent would fire a command and assume it worked, without "seeing" if the UI or state actually updated. I just shipped a new architecture to solve this called Canvas AI Accessibility. The Technical Concept: Instead of…

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  AgentState – Lightweight state manager for multi-agent AI workflows2025 · github.com · ▲16

  AgentState to solve a problem I kept running into: managing state for multi-agent AI systems is surprisingly hard. When you have multiple AI agents that need to coordinate, persist their state, and query each other's status, you typically end up with a mess of Redis/Postgres setups, custom queuing, and manual synchronization code. The whole thing is ~3MB, written in Rust for performance and safety, runs in Docker, and handles 1000+ ops/sec. I've been running it in production for AI workflows and it's been rock solid.

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  Statewright – Visual state machines that make AI agents reliableMay 2026 · github.com · ▲126

  Agentic problem solving in its current state is very brittle. I fell in love with it, but it creates as many problems as it solves. I'm Ben Cochran, I spent 20+ years in the trenches with full-stack Engineering, DevOps, high performance computing & ML with stints at NVIDIA, AMD and various other organizations most recently as a Distinguished Engineer. For agents to work reliably you either need massive parameter counts or massive context windows to keep the solution spaces workable. Most people are brute forcing reliability with bigger models and longer prompts. What if I made the problem…

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  Spira Maxima▲578

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  I replaced a $120k bowling center system with $1,600 in ESP32s▲2,935

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  Life & fun · Jul 2026 · 18words.com

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  Over the past few months, our team has been building more and more slidedecks using web frontend technologies with coding harnesses like Claude Code, but a common complaint is to make even small edits we need to edit the code either manually or via the harness. To avoid this loop, I ended up creating Bento, a single HTML file with everything you need in a slide tool including animations and shared editing. There's no install or cloud login, everything works offline. The default deck is around 560 KB and it doesn't need to fetch anything once you got it. Open it in a browser and then you can…

  Dev tools · Jul 2026 · bento.page

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  Getting GLM 5.2 running on my slow computer▲937

  A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…

  AI · Jul 2026 · github.com

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  Dev tools · Jul 2026 · openseo.so