The AI that doesn't start over.
AI systems reset every session.
MemoryWell ensures they continue exactly where they left off — with verified state.
Not memory retrieval. Deterministic continuity.
Round 1 Beta — 25 spots remaining
0 of 25 beta testers onboarded
Two sessions. One continuous system.
Session 1
→ Project started
→ Decisions made
→ Next action defined
→ State saved
Session 2
✓ State resumed
✓ Context intact
✓ Work continues
→ resumed_from_prior: true
→ context_intact: true
→ next_action: "continue Phase 2 eval"
The system remembers what you did · It knows what comes next · It continues without being told
What makes it different
Most solutions
✗ Retrieve similar data
✗ Summarise prior context
✗ Approximate continuity
MemoryWell
Restores verified state.
Not an approximation. Not a retrieval. The exact reasoning state — reconstructed deterministically.
Retrieval finds what is similar. MemoryWell restores what actually happened.
Every stateless AI session is exposed to these failure modes.
Most systems fail silently. Expand each to see what it means and how MW prevents it.
The MemoryWell Guarantee
MW does not guarantee AI reasoning is correct — that's impossible.
What it guarantees: the reasoning state remains coherent, reconstructible, and auditable.
We didn't just map the failures. We injected them.
Each test was run against a live MW instance. Results are observed, not claimed.
All 7 failure modes injected. All 7 contained.
Verified across 14 production stages · 1000-op soak tests · chaos scenarios
Deterministic control over AI reasoning state.
The same way ACID transactions gave databases deterministic write guarantees, MemoryWell gives AI sessions deterministic state guarantees.
Ownership
Who owns the state?
The lifecycle. Every mutation is declared and guarded.
Survivability
Does it survive crashes?
Yes. The snapshot + delta chain is recoverable after any failure.
Determinism
Is reconstruction reliable?
Yes. Reconstruction is exact — not probabilistic recall.
The three-call developer surface maps to a six-stage internal lifecycle.
Wake + Reconstruct
Work + Guard
Commit + Sleep
Wake
Load the last known state snapshot. Resume exactly where you left off.
Reconstruct
Rebuild full working context from the snapshot. Deterministic — not probabilistic.
Work
The AI reasons with live context. State is intact.
Guard
Every state mutation is validated before commit. Invalid state cannot enter.
Commit
Only the delta is recorded. State grows incrementally. Context window stays clean.
Sleep
Formal closure. Snapshot pointer updated. Next Wake has everything it needs.
POST with JSON body. Bearer token auth. Same pattern across all endpoints.
Authorization: Bearer <your-api-key>
MemoryWell is a runtime layer between your application and the LLM.
MW intercepts the session boundary — the gap between one LLM call ending and the next beginning.
That gap is where state is normally lost. MW owns that boundary.
14
Production stages
0
Cross-tenant leaks
0
Entropy events
100%
Chaos tests passing
Soak + Chaos (Stage 11)
1000-op soak, worker restart, Redis flush, burst spike. All PASS.
Security + DR (Stage 12)
Cross-tenant isolation, export integrity, restore, right-to-delete. All PASS.
Tenant Simulation (Stage 14)
20 tenants × 100 ops. Zero cross-tenant bleed. Zero job corruption.
Get your beta key.
Limited rollout. Real developer testing. Direct feedback loop.
Building AI agents, copilots, or workflow automation? If you feel the pain of stateless sessions — this is for you.
🔑
Early API access
Full MW runtime access before public launch.
🏗️
Founding credit
Listed as a MemoryWell Founding Engineer.
💬
Direct line
Direct access to the founders during beta.
Already building? Get in line for Round 2.
Round 2 spots are allocated first-come-first-served from the waitlist. Join now to lock your position.
MemoryWell · State Runtime for AI Systems · v1.0 Private Beta