Backed by Stanford & Draper

Backed by Stanford & Draper

Procedural Memory for your Claude

Procedural Memory for your Claude

Learn it. Keep it. Share it. What one agent learns, every agent and teammate knows.

>_
Codex
+
Without XTrace
Ship this feature figma.com/file/xtrace123abc
No design system config found, searching
Located your components14 file reads later
Opened PR #142, fixed review comments3 rounds
Merged PR #142
13m elapsed · 60.7k tokens
now write up everything you did so I can paste it to Felix
Summary for Felix
1. Read Figma frame xtrace...
2. Matched components in /src/ui...
Copy · 1160 lines
Reply to agent…
>_
Codex
+
Without XTrace
Ship this feature figma.com/file/xtrace
No design system config found, searching
Located your components14 file reads later
Opened PR #142, fixed review comments3 rounds
Merged PR #142
13m elapsed · 60.7k tokens
now write up everything you did so I can paste it to Felix
Summary for Felix
1. Read Figma frame xtrace...
2. Matched components in /src/ui...
Copy · 1160 lines
Reply to agent…

Two ways in

Plug it in or build on it.

Memory Cloud + MCP

Use it

For anyone on Claude or Codex. Install the MCP and share context with coworkers and their agents in one command. No code required.

Install once, works in Claude and Codex

Share context with a coworker or their agent in one line

Bring any team memory straight into a chat

# add xtrace to Claude or Codex

$ claude mcp add xtrace

Procedural Memory API

Build on it

For teams building their own agents. Give any agent memory of the tool calls, paths, and fixes that worked, Implement in a few lines.

Capture & complete procedures deterministically

save() and load() agent memory from the cloud

Framework-agnostic: vercel-ai-sdk, pydantic-ai, or custom

# add memory to your own agent

$ npm install xtrace

Share skills, artifacts, SPECs and memory.

The first agent comms framework

The first agent comms framework

The first agent comms framework

Give your co-workers and your other agents the skills, artifacts, specs, and memory they need, without copy-pasting context ever again.

Your AI tool has access to everything, but it still doesn't understand your business. With XTrace, it does.

procedural memory

Build a landing page with TypeScript, host on Vercel, add dark mode, and use isometric graphics…

Saved those steps as a reusable skill. Share it with anyone in one click.

Upload to Memhub

Share with Alice

artifacts

Draft the company brain spec

Company brain spec

Doc · Markdown

Share with Bob

Share with Codex

No matter what framework

No matter what framework

No matter what framework

Whether your product is a split chat-and-canvas workspace or a sidebar agent hub, it is still an AI-native app that needs memory and comms.

Agentic App

Agents

Integrations

Dashboard

Your Agent Name

What would you like to do?

XTrace API / SDK

AI-Native Software

Something here

Do this and do that

Roger this and that!

Tool calls

Ask AI…

Vercel AI SDK

Pydantic AI

Hermes Agents

And more!

Procedural memory

Stop re-reading. Start retrieving.

Stop re-reading. Start retrieving.

Stop re-reading. Start retrieving.

XTrace embeds and indexes what your agent knows, so every task starts with instant similarity search — not another pass through a folder of markdown.

File-system skills & memory

More .md files, more waiting

Agent
onboarding.md
billing-flow.md
crm-sync.md
escalation.md
refunds.md
kb-search.md
email-tone.md
slack-rules.md
auth-steps.md
reporting.md
handoff.md
triage.md
pricing-faq.md
api-usage.md
retries.md
glossary.md
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task received…

VS

XTrace procedural and semantic memory

One query, instant recall

Agent
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0
idle

Stop shipping endless agent skills

No bespoke skill for every workflow — XTrace gives your agent shared comms and memory it reuses across tasks.

No more DIY file systems

Stop bolting on storage so clients can dump markdown everywhere. Structured memory lives in XTrace, not scattered docs.

Keep the context window clean

Retrieve only what matters at request time instead of stuffing an agent's entire history into every prompt.

Forward-deployed, not fire-and-forget

Forward-deployed, not fire-and-forget

We are not another API that takes your $ and disappears. We forward-deploy and embed with your team until the integration ships

We are not another API that takes your $ and disappears. We forward-deploy and embed with your team until the integration ships

Common questions

FAQ

What's the difference between XTrace and other agent memory providers?

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How is this different from a vector DB or RAG pipeline?

+

Who is XTrace for?

+

Do I have to rip out my stack?

+

Who can see what?

+

Is my data used to train models?

+

What happens to my data if I leave?

+

How does Memory Hub relate to Memory API?

+

Subscribe to our newsletter for the latest product updates and AI news

·

The first agent comms framework

© 2026 XTrace

Common questions

FAQ

What's the difference between XTrace and other agent memory providers?

+

How is this different from a vector DB or RAG pipeline?

+

Who is XTrace for?

+

Do I have to rip out my stack?

+

Who can see what?

+

Is my data used to train models?

+

What happens to my data if I leave?

+

How does Memory Hub relate to Memory API?

+

Subscribe to our newsletter for the latest product updates and AI news

The first agent comms framework

© 2026 XTrace

Common questions

FAQ

What's the difference between XTrace and other agent memory providers?

+

How is this different from a vector DB or RAG pipeline?

+

Who is XTrace for?

+

Do I have to rip out my stack?

+

Who can see what?

+

Is my data used to train models?

+

What happens to my data if I leave?

+

How does Memory Hub relate to Memory API?

+

Subscribe to our newsletter for the latest product updates and AI news

·

The first agent comms framework

© 2026 XTrace