AgentStateGraph
Content-addressed, branchable, blameable state store designed from the ground up for AI agents. Every commit carries intent, reasoning, confidence, and authority. agentstategraph.dev
AI agents now write code, manage infrastructure, and make decisions at scale. The bottleneck isn’t capability — it’s accountability. When a fleet of agents touches production, you need to know what they changed, why, who authorized it, and what they expected vs. what happened. Today that answer lives nowhere.
AgentStateLabs builds the primitives that make agents governable.
AgentStateGraph
Content-addressed, branchable, blameable state store designed from the ground up for AI agents. Every commit carries intent, reasoning, confidence, and authority. agentstategraph.dev
AgentStateDeveloper
Code-level context and audit overlay. Decision ledger, effect declarations, call graph, and agent thinking — all queryable by the agents that write the code. agentstatedeveloper.dev
CTXone
Persistent, searchable, accountable memory for AI agents. Eliminate context anxiety — write a fact once and every tool remembers it forever. ctxone.com
AgentStateRouter
Agent Execution Optimization Engine. Routes tasks to the right agent based on cost-per-unit-of-work, efficiency score, and task-type history — not just tokens.
AgentStateCrucible
Agent testing and validation framework. Run the same scenario against multiple agents, capture every decision as an auditable graph, and use a judge agent to score runs side-by-side.
Every product in the AgentStateLabs portfolio is built on the same AgentStateGraph substrate. Plans, policies, tasks, memory, and code decisions all live in one content-addressed graph — branchable, blameable, and auditable by default.