Trace, debug, and control every AI agent decision.
AISquare captures the reasoning behind every agent decision. Debug faster, catch regressions before they ship, and build AI systems that are explainable, reliable, and production-ready.
- →Connect with any agent stack
- →See why. Not just what happened.
- →Debug and fix. No redeploy cycle.
- →Govern and scale AI Agents.
Agent debugging is still guesswork.
You can trace every run. You still struggle to debug it.
Same input. Different output. No idea why.
Your traces show both runs. They don't explain why your agent chose different paths.
Something changed. Your traces can't say what.
Behavior shifted after a deployment. Pinpointing the cause is hours in the traces. Sometimes a full day.
Found the bug. Now the real work starts.
Fixing one bad decision means cycling through traces, prompts, and redeploys until something sticks.
Add trust to your AI development workflow
Connect in minutes. Trace every decision. Fix behavior before it ships.
Connect to your stack in minutes
Install the SDK or connect through the proxy. AISquare starts capturing agent runs without forcing your team into a new workflow.
Trace every decision as it happens
Every agent run produces a complete execution graph. See inputs, tool calls, reasoning steps, and outputs in one place so your team can understand how each run actually happened.
Catch what exactly broke across runs
Compare runs, click the flagged node, and pinpoint why behavior shifted after a prompt tweak, tool update, context change, or release. Everything you need to understand the issue in one view.
Fix behavior where it breaks
Apply targeted controls, policies, and interventions instead of bouncing between traces, prompts, code, and redeploys. No prompt trial-and-error.
Fix once. Every future run covered.
Turn the fix into persistent policy and feedback so the same failure does not keep coming back.
Start integrating AISquare into your AI stack
Connect AISquare to the agent frameworks, model providers, and runtimes your team already uses.
Docs
Guides, quickstarts, and concepts to get you building fast.
Read docsAPI Reference
Explore endpoints, schemas, and integration patterns for AISquare systems.
Explore APISDKs
Drop-in Python SDK to add explainability to any AI agent or pipeline.
Get SDKOpen Source
A curated list of AISquare projects, integrations, and community resources.
View reposStay up to date
Events, insights, and release notes. Everything happening at AISquare, in one place.
Events
- WEBINARVIRTUAL·Oct 22, 2026The Human Side of Trustworthy AI: Judgment, Agency, and the AI Engagement Model
- WEBINARVIRTUAL·Sep 3, 2026Making Your Customer-Facing Agents Trustworthy: Real-Time Guardrails for Autonomous Front-Ends
- CONFERENCEITC MARATHA, MUMBAI·Aug 5, 2026Meet us at the CIO 200 Summit in Mumbai
Build with AISquare
Start building, contribute in public, and get help when you need it.
Open Source
Explore starter repos, integrations, and example projects or contribute to the ecosystem as it grows.
- AISquare-Studio-QAAI-powered GitHub Action that converts natural language test descriptions into Playwright tests
- django-aisDjango-native orchestration framework for agentic workflows with DB-backed job management and real-time event streaming
- Coming Soonaisquare-integrationsAdapters for LangChain, CrewAI, AutoGen
Join the community
500+ developers building with AISquare. Ask questions, share what you're building, and stay ahead of what's shipping next.
Bring trust, traceability, and control into your AI workflow
Get a complete picture of every decision your agent makes.
AISquare is the audit, trust, and governance layer for AI systems.