AISquare Documentation
Every decision, explained.
Govern any agent, run the Trust Loop on every decision it makes, and turn governed intelligence into the Studios your customers ship. From impressive demo to deployable product, one narrative, one platform.
01 The narrative spine
Three surfaces, one layer beneath them.
AISquare reads as a single through-line. You govern an agent, run the Trust Loop on what it does, and ship the result as Studios. Beneath all three sits Collective Intelligence: every surface writes what it learns into one reasoning and memory graph, and every surface is powered by what that graph already holds.
Govern
Connect any agent, SDK or proxy. It keeps running as-is.
The Trust Loop
Understand it, prevent the bad call, fix it in place.
Studios
Ship it as experiences: docs for repos, reports, expert agents.
Collective Intelligence
AI + BI = CI. The reasoning-aware, auditable, governable layer with the memory and context of your agents and your humans.
02 The Trust Loop
Govern is four capabilities working as one loop.
Understand what an agent did, prevent the call it should not make, fix it in place, and remember the outcome. Each capability is a glass card here and a section in the Govern docs.
Understand
reasoning graph
See every decision as a reasoning graph: the claims, the evidence behind them, and the inference chain that led to each step.
Prevent
policy gates
Enforce policy at runtime. Each action passes or is blocked against the exact rule, with a citation you can audit.
Fix
correction loop
Correct an agent in place. Replay the trace, adjust the policy, and verify the new behaviour before it ships.
Remember
enterprise memory
Persist every governed decision to enterprise memory, so your agents and your team get smarter together over time.
03 Why AISquare
The layer the rest of the stack leaves out.
Observability shows you what happened. Eval platforms score it. Guardrails block the obvious. None of them tell you why a decision was made or carry the context forward. That missing layer is the whole point of AISquare.
04 Quickstart
From impressive to deployable in five minutes.
Wrap the agent you already have. Nothing about how it runs changes; governance and traces come along automatically. This is the default treatment for every snippet in the docs.
1from aisquare import GovernedAgent2 3# wrap the agent you already have4agent = GovernedAgent.from_agno(my_agent)5 6# run it exactly as before, traces ship automatically7agent.run("Issue a refund for order #4821")05 Proof
Built for teams who ship.
Dramatyze stood up a governed, customer-facing experience on AISquare in a single sprint. Read the full case study for how the spine held end to end.
06 Start here
Pick up the spine wherever you are.
Each step of the journey is one page away. Govern first, or jump straight to the part of the arc you are solving for today.
Govern
Connect your agents
Wrap an Agno, LangGraph, or custom agent in five minutes. It keeps running as-is while every decision starts shipping traces.
The Trust Loop
Understand, Prevent, Fix, Remember
The four moves that turn a black-box agent into a governed one: read the reasoning, enforce the policy, correct it, and keep what you learned.
Collective Intelligence
AI + BI = CI
Not a step in the pipeline: the layer with the memory and context of your agents and your humans. Everything above writes into it, and everything above is powered by it.
Studios
Ship it as experiences
Turn governed intelligence into the things your customers use: docs for repos, reports, and expert agents you can stand up fast.