A Day Without ACE vs. A Day With It
9:00am — Start a new Claude session. Spend 15 minutes explaining your project architecture. Again.
10:30am — AI suggests MongoDB. You chose PostgreSQL three months ago for specific reasons. It doesn’t know.
1:00pm — A teammate asks their AI about the auth flow. Gets a hallucinated answer because their AI has zero context about your codebase.
3:00pm — You hit a bug you’ve seen before. Your AI doesn’t remember the fix from last week. You debug from scratch.
5:00pm — Switch from Cursor to Claude Code. Start over.
9:00am — Open Claude. It already knows your architecture, your conventions, and what you were working on yesterday.
10:30am — AI recalls you chose PostgreSQL, traces the decision back to the performance benchmarks and the 3 alternatives you rejected.
1:00pm — Your teammate’s AI pulls from the same shared knowledge. The auth flow answer is accurate because it’s reading your team’s actual decisions.
3:00pm — AI recognises the error pattern, finds the linked issue from last week, and applies the same fix. Thirty seconds.
5:00pm — Switch tools. Memory follows. Nothing lost.
The Moments That Matter
ACE doesn’t just store data. It changes how your team works with AI.
It’s your first week on a new team.
Your AI already knows every architectural decision they’ve made, every bug pattern they’ve hit, and every coding convention they follow. You’re productive on day one because your AI has the institutional knowledge.
A junior developer is about to override a critical design decision.
The Observer catches it before the PR lands. "This contradicts Decision #47: we chose event-driven architecture over polling because of the latency requirements documented in Issue #112." The decision links to the rationale, the alternatives considered, and the performance benchmarks.
Six months into a project, someone asks "why did we choose Kafka?"
Your AI traces it: the original decision, the 3 alternatives considered, the benchmark results that informed it, the 2 issues it caused, and the patterns that emerged from working around those issues. Not a Confluence page — a living graph of connected knowledge.
You’re debugging at 2am and the error looks familiar.
ACE finds the linked issue from three weeks ago: same root cause, different symptom. The fix is already documented with the exact code change and the architectural decision that caused both bugs. Your AI applies it.
Your security auditor asks how AI tools access company data.
All memory lives on your PostgreSQL database. You show them the schema, the namespace isolation, the audit trail. They can query it directly. There’s nothing on a third-party server they need to worry about.
14 Capabilities. One Clear Winner.
Everyone else built a memory API. ACE3 built a cognitive OS.
| Capability | ACE3 | Mem0 | Zep | Letta | Cognee |
|---|---|---|---|---|---|
| Structured Memory (10 types) | partial | ||||
| Knowledge Graph | partial | ||||
| Autonomous Agents | partial | ||||
| AI Genome / Behavioural DNA | |||||
| Passport Auth | |||||
| Session Intelligence | |||||
| 73 MCP Tools | |||||
| Self-Hosted | partial | partial | partial | partial | |
| One-Time Pricing |
ACE3 Founder is up to 94x cheaper than competitors over 2 years — with 8 exclusive features nobody else offers at any price.
Data compiled March 2026. Pricing from publicly available sources.
What We Believe
AI memory shouldn’t be a feature. It should be infrastructure. Every AI tool you use today has its own memory silo. Claude doesn’t know what you told Cursor. ChatGPT doesn’t know what Claude learned. Your knowledge is fragmented across tools that don’t talk to each other.
Memory needs structure to be useful. A flat list of facts is not memory. Real knowledge has relationships — this decision caused that bug, which led to this pattern, which informed that architectural choice. ACE stores 10 structured entity types connected by a temporal knowledge graph, because that’s how knowledge actually works.
Your data belongs on your infrastructure. We don’t store your memories. ACE connects to your PostgreSQL database — Neon, AWS, Supabase, local, whatever you choose. Standard tables you can query, export, or migrate anytime. We built ACE so your AI gets smarter without you giving up control.
Memory should maintain itself. Nobody updates documentation. That’s why ACE has 10 autonomous agents that catch contradictions, flag stale knowledge, surface risks, and clean up noise. You don’t maintain ACE. ACE maintains your team’s collective AI knowledge.