Now in private beta

Your AI agents never
solve the same problem twice.

Stateful is a memory layer for AI coding agents — so everything your team's agents learn is shared, searchable, and ready for the next session.

without stateful
$ Service failure in checkout flow
⬡ with stateful
$ Service failure in checkout flow
loading context...

The problem

Every agent session cold-starts with zero memory.

Your team's AI agents re-investigate the same bugs, retry the same failed approaches, and rediscover the same fixes — every single session. The knowledge disappears the moment the context window closes.

Agent spends an hour on an approach your team already ruled out
Memory flags it before the first command runs
New engineer's agent circles the same dead end for days
Past failures become instant guardrails for every agent
Every session starts from zero, even for known fixes
Solutions accumulate — each session makes the next one faster

How it works

01

Capture

Every Claude Code session is recorded in real time — failures tried, solutions found, files touched. One install command, zero config.

02

Store

Sessions are extracted into structured memory: digest, solutions, failure causes, key terms. Stored as vector embeddings in your org's namespace.

03

Warm start

The next agent to hit a similar problem gets the full history injected automatically — what failed, what fixed it, who solved it last.

Benchmark results

100%Warm insight rate18 of 18 scenarios
+0.40Avg score deltacold 0.58 → warm 0.98
28%Cold insight ratewithout Stateful
5 minSetup timeone install command

Works with your stack

Claude CodeCursorWindsurfGitHub PRsSlackLinearJiraConfluenceVS CodeNotionDatadogPagerDutyClaude CodeCursorWindsurfGitHub PRsSlackLinearJiraConfluenceVS CodeNotionDatadogPagerDuty

Ready to give your team shared AI memory?

Private beta. Free to start. No credit card.