For people shipping things

Build agents that
do not forget.

Memory for the things you build — and for the AI tools you build with. Architecture decisions, customer truth, and creative voice that travels across every model.

Developers

Architecture decisions, gotchas, the why-we-did-it-this-way — every AI coding tool gets the full context. Stop re-explaining your stack on every new chat.

Founders

Product specs, customer interviews, fundraising notes — agents that actually know your company. Brief once, ask forever.

Creators

Drafts, references, voice samples — AI that writes in your style because it remembers your style. Across tools, across projects.

How it might fit

Tiny workflows you can try this week.

Developers

Same brain, every IDE

Architect in Claude. Write in Cursor. Debug in Codex. The "why we did it this way" from the morning chat shows up unprompted in the afternoon refactor — that's Memory carrying the thread.

ClaudeCursorCodex
Memory
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Founders

Customer truth, on tap

Interview transcripts and product specs go into Organise. Interrogate them straight from Chat, then take the same context to Claude for the pitch deck or ChatGPT for the strategy doc.

ClaudeChatGPT
OrganiseChat
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Creators

Your voice, remembered

Drafts, voice notes, references in Organise. Claude writes in your style, Gemini brainstorms in your aesthetic, and the next tool you try does not start cold.

ClaudeGemini
OrganiseMemory
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Your Morning

Wherever you work, it's already there.

You move between tools all day. xysq moves with you — carrying everything you know, everywhere you go.

ChatGPT
8:47 AM
p99 spiked to 4.2s. Nothing deployed. What's happening?
Your OpenAI embedding calls went from 80ms to 340ms overnight — they're synchronous in your hot path. Move them async and serve cached embeddings.
◈ captured

Root cause: sync embedding calls degrading p99. Fix direction: async queue + cached fallback.

incidentdecision
Claude
9:31 AM
Design the async queue. Worried about stale embeddings.
Already have the incident. Three-tier fallback: live → cache (6h TTL) → weekly. Circuit breaker at 500ms — your SLA covers the window.
◉ surfaced

Injected incident context. No re-introduction needed.

incidentarchitecture
◈ captured

Three-tier fallback pattern decided. Circuit breaker at 500ms.

decisionpattern
Cursor
10:14 AM
Build it.
On it — live → cache → weekly fallback, circuit breaker wired. Adding /internal/embedding-health so your agents can monitor state.
◎ synthesized

You reach for circuit breakers under external dep pressure. Noted for future suggestions.

patternsynthesize
◈ captured

EmbeddingService shipped. Health endpoint live.

codingdecision
Knowledge Base Updated
10:28 AM
4 agents already know what happened — and what to do next.
Knowledge Baselive
Monitoring Agent

Watching /embedding-health. Alerts wired.

Docs Agent

Runbook drafted: 3-tier fallback pattern.

Standup Bot

Tomorrow's standup: incident closed, fix live at 10:14.

Claude (next session)

Context loaded. Picks up exactly where you left off.

◎ synthesized

Full incident arc captured. Pattern propagated to downstream agents.

synthesizepattern

Other use cases

Productivity→Collaboration→Strategy→

Pick your starting point.

For you

Start using xysq.

Sign in, connect your favourite AI tools, and start carrying your context across them. No setup, no migration.

Open the app→
For developers

Build with xysq.

API, SDKs, and reference architectures. Drop persistent memory into your agents in minutes — no rebuild required.

Read the docs→
For businesses

Bring xysq to your team.

Institutional memory across Slack, Drive, Notion, and the rest. Your team’s knowledge, queryable from any agent.

Book a call→