FROM CLAUDE CODECTX / CONTEXT
“Use cursor pagination for the activity feed. Offset pagination breaks when new events arrive.”
The Cognitive Intelligence LayerMemory isn't retrieval.
Memory isn't retrieval.
It's cognition.
Contexara AI observes every conversation your agents have, understands it while nobody's waiting, and recalls it in milliseconds when it matters. CTX is the layer that makes any model remember like it should.
INTEGRATIONS
Switch your tools. Keep your thread.
Connect Claude Code, Cursor, Codex, or your own agents. Capture conversations and recall context when it's needed.
ONE CONTEXT LAYER / EVERY NEXT STEPCapture + recall
Claude Code
Start with an idea in your terminal. Capture the decisions behind your code, so the next session can pick up the thread.
Automatic capture hooks
Decisions from your terminal, available to your next task.ILLUSTRATIVE DEMO · NO ACCOUNT NEEDED01 / EARLIER CONVERSATIONILLUSTRATIVE WORKFLOW
See the source conversation
CLAUDE CODE / EARLIER SESSION
You: Use cursor pagination for the activity feed. Offset pagination breaks when new events arrive.
Next stop: Cursor
Preview how CTX recall can bring the earlier decision into this task.
01
Capture the conversation.
Hooks capture supported coding sessions as you work. Custom agents can send context through the API or MCP.
02
Recall what matters.
CTX searches captured context for the current question. Your agent receives relevant evidence to work with.
03
Continue in your next tool.
Connect your tools to the same CTX account so earlier conversations are available beyond the original session.
Your tools stay yours. CTX brings the context between them.
Explore capture integrationsBUILT FOR CONTINUITY
Less repetition. More continuity.
The useful parts of earlier conversations shouldn’t disappear when you start your next task.
DECISIONS01
Keep earlier decisions in reach.
Give your agent access to the reasoning from previous conversations when related work comes up.
A question you can bring back
“Why did we choose cursor pagination?”
CONTINUITY02
Carry context across tools.
Make conversations captured in one connected tool available for recall in another.
A conversation you can continue
“What did we decide in Claude Code about this feature?”
RELEVANCE03
Bring back the relevant details.
Retrieve context for the current question instead of manually assembling old chat excerpts.
A detail you don’t need to retype
“What constraints did we agree on for this release?”
From Conversation to Recall
01
Observe
CTX hooks into Claude Code, Cursor, or Codex. Every turn is captured automatically, verbatim.
02
Understand
Every ~10 turns, CTX reads the exchange and writes the one sentence that ties it together.
03
Focus
CTX detects what you're working on and narrows in, without ever losing what came before.
04
Recall
A classifier decides in ~10-20ms if it's a lookup or needs synthesis. Usually, it's already answered.
Built for DevelopersOne call.
One call.
No memory to manage.
CTX handles capture, understanding, and recall. Your app just asks a question and gets the right context back, usually without an extra model call at all.
View DocumentationcURLPythonNode.jsREST
curl https://api.contexara.com/v1/memory/retrieve \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"user_id": "user_123",
"query": "What did the user prefer last time?",
"limit": 5
}'115ms
p95 Server Side
94.8%
Recall@15
~90%
Queries Need No LLM Call
10-20ms
Auto Recall Decision
Measured end-to-end on our own infrastructure, not vendor-reported.
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