v0.4 — Now in private beta

Your agents
forget everything.
We remember.

Statefulai is persistent shared memory infrastructure for AI coding agents. Claude Code, Codex, and Cursor speak the same memory — across sessions, branches, and teammates.

MCP-native SOC 2 path Self-hostable Open SDK
context.engine
live · 3 agents · 412 nodes
CONTEXT OS
One memory · many agents Read · Write · Sync
The problem

Every new chat is amnesia. Memory should be infrastructure.

Agents rediscover your codebase on every session. Tokens burn. Decisions drift. The same architectural lessons get re-learned in a different prompt window every Monday.

Without Statefulai› stateless
[mon 09:14]Session 1 — Claude scans 412 files12.4k tokens
[mon 14:02]Session 2 — Re-scans, asks for stack11.8k tokens
[tue 10:21]Codex — “What's our auth pattern?”9.3k tokens
[tue 16:48]Cursor — duplicates utility funcdrift
Token waste
78%
Rediscovery
64%
Drift
52%
With Statefulai› persistent
[mon 09:14]Session 1 — first index, compressed+ memory
[mon 14:02]Session 2 — resume, 0 rediscovery−92% tokens
[tue 10:21]Codex — reads auth pattern from memory1 hop
[tue 16:48]Cursor — reuses existing utilityconsistent
Reuse rate
91%
Session join
88%
Consistency
94%
Architecture

One pipeline. Every agent. Always-on memory.

Repositories, commits, agent transcripts, and IDE signals flow into a layered context store. Retrieval is hybrid (semantic + graph + recency) and compression keeps tokens lean.

01 · input
Agent / IDE
claude · codex · cursor
02 · ingest
Context engine
repo · commits · chat
03 · memory
Episodic · Semantic · Procedural
pg · qdrant · neo4j
04 · retrieve
Hybrid retrieval
vector · graph · rerank
⎯ Token-aware compression ⎯ Branch-scoped memory ⎯ Team-shared retrieval ⎯ MCP transport
Read the full architecture →
Memory model

Three kinds of memory,
like a brain that codes.

Borrowing from cognitive science. Each layer answers a different kind of question your agent will ask 100 times this week.

Use cases

Built for the way AI-first teams actually ship.

From solo flow to multi-agent orchestration, Statefulai gives every actor — human or model — the same long-term recall.

All use cases →
avg token reduction
–73%
across resumed coding sessions
retrieval p50
12ms
hybrid recall, reranked
context reuse
91%
hit rate across sessions
agents supported
5+
via MCP and native SDK
Early access · Beta

Stop teaching your agents
the same codebase twice.

Plug Statefulai into Claude Code, Codex, or Cursor today. Bring shared memory online in 60 seconds.

Get early access Read the docs