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xysq.ai · The first self-improving context engineering platform.
The first self-improving<br>context engineering<br>platform.<br>Powered by the xysq Memory Engine.<br>A domain-adaptive engine that continuously evolves knowledge into better context for AI.<br>Self-Improving Memory<br>Knowledge Graphs<br>Enterprise Governance<br>For AI builders→For teams→
Raw DataIngest PDFs, text, images and documents.Turn unstructured data into usable knowledge.
xysq Memory EngineTransforms raw knowledge into domain-adaptive context.Continuously improves through feedback and governance.
Context GraphContinuously evolving knowledge for humans and AI.Structured, connected and always up to date.
GovernanceEvery change is auditable and reviewable.Human oversight keeps knowledge trustworthy.
Self-Improving Context LoopHuman FeedbackSelf FeedbackUsage Signals
Structural LearningImproves knowledge organization.Continuously restructures for reasoning.<br>Retrieval LearningOptimizes context selection.Improves every future retrieval.
For Builders.For Teams.
"We deprecated the v2 endpoint in March; everything routes through v3 now.targeted correction<br>one gated runold fact closed<br>supersession eventevery hosting page updated<br>enumerated, not sampledstale chunks downweighted<br>retrieval retuned<br>next query"Route traffic through the v2 endpoint.""v2 was deprecated in March. Route through v3."<br>Applied now. Visible on the next query. Attributable forever.<br>Memory that improves<br>on command,<br>not by accident.<br>Most memory stacks accumulate feedback and hope retrieval gets better later. The xysq Memory Engine applies a targeted correction the moment you give it, and you see the improvement on the very next query.<br>Self-improving loopsOne correction improves every future retrieval.<br>Domain-adaptiveLearns your domain instead of generic internet knowledge.<br>Dual-layer learningEvery correction updates both knowledge structure and retrieval.<br>Read the whitepaper→
One context lake, many context graphs.<br>Everything you capture lands in your context lake. Inside it, separate context graphs: yours, your teams', your agents'. Everyone draws from the same lake.<br>Your context lakePersonalTeamsAgents
Context for your agents<br>Pricing graph Product graph Support graph<br>reads · from one or many Sales agent<br>writes · to its own Sales graph
The right context, every timeEach agent gets exactly the context its task needs, nothing extra.<br>Sees only what it shouldEach agent has the access you gave it. Nothing more.<br>Every answer can be checkedAnything an agent is told traces back to where it came from.<br>For AI builders<br>Knowledge for your team<br>A page A graph Everything<br>share · read-only or editable · revoke anytime One person Whole team<br>export anytime your own drive · rolling out
Share exactly what you chooseOne page, one graph, or everything. With one person or the whole team. Take it back anytime.<br>Context stays when people leaveTeam knowledge belongs to the team. New members get it on day one.<br>Export anytimeYour data is yours, all of it, whenever. Your own drive support is rolling out.<br>For teams
Governance, common to both<br>Transparent to your teamEvery context graph is visible and accessible. No black boxes.<br>Every change auditableWho changed what, when, based on what. Always answerable.<br>Access you controlGrant by graph, page, or person. Revoke anytime.
Pick your starting point.<br>For teamsStart a shared context lake.<br>Your team’s AI sessions and files become knowledge everyone can use. Free to start.<br>Start free→<br>For AI buildersGive your agents memory.<br>Agents that read from many graphs, write to their own, and improve with every correction.<br>Read the docs→<br>Custom solutionTuned to your domain.<br>Context is sensitive to your domain and niche. We’ll fit the engine to yours: your vocabulary, your workflows, your deployment.<br>Book a call→