Memory is the moat.
Every AI company has the same models. What isn't commoditized is your organization's knowledge — the decisions, preferences, patterns, and insights that make your team effective. Cortex turns that implicit knowledge into a compounding asset.
AI agents have amnesia. Your organization pays the price.
Most AI agents are stateless. Every conversation starts from zero. There's no accumulation of knowledge, no organizational learning, no way for what one agent learns to benefit another.
The tribal knowledge problem that plagues human teams gets replicated in AI teams — each agent is an island.
Three systems, running on every turn.
Extracts facts after every exchange.
Cortex's fact extraction analyzes each turn and persists structured facts into the memory store. The agent learns by doing its job.
- Decisions and commitments
- Architecture and technical details
- Identity and relationship info
- Preferences and communication styles
- Project context and milestones
- Policies and procedures
Query → Memory → Deliver.
The memory system actively fetches and ranks relevant facts, then injects them into the agent's context — on every response.
- 01 · QuerySearches the memory store for facts relevant to the current conversation.
- 02 · ScoreRanks results by relevance, usefulness history, and confidence.
- 03 · DeliverInjects the most relevant facts into the agent's context for this turn.
Keeps what works, drops what doesn't.
After each response, keyword-overlap analysis compares injected facts against the final answer. Useful facts climb. Noise fades.
- Facts that contributed to good responses get boosted
- Facts that weren't relevant get demoted
- Valuable knowledge surfaces more often. Noise fades naturally.
Four tiers. TTL by proven value.
Just captured. Needs to prove it's worth keeping.
Showed early value. Getting a longer look.
Consistently useful. Earning its place.
Battle-tested knowledge. Part of the agent's core understanding.
- Volatile → Daily: score ≥ 0.4
- Daily → Stable: score ≥ 0.6
- Stable → Permanent: score ≥ 0.8, used 3+ times, active across 2+ days
score = 0.40 × usefulness + 0.30 × (access_count / injection_count) + 0.30 × confidence
Agent. Team. Company.
Company scope
Company policies, glossary, architecture decisions, org structure. Every agent in the company can access these.
Team scope
Team-specific workflows, client assignments, domain conventions, runbooks. Agents on the same team share context automatically.
Agent scope
One agent's role, working style, current projects, and accumulated interaction context.
The longer you use Cortex,
the more valuable it gets.
Living memory vs. a filing cabinet.
| Capability | Cortex | Typical AI agent | Static RAG |
|---|---|---|---|
| Learns from conversations | Automatic | ||
| Knowledge graduation | 4-tier system | ||
| Self-curation | Usage-based scoring | Manual only | |
| Organizational scoping | Agent → Team → Company | ||
| Knowledge promotion | Convergence detection | ||
| Audit trails | Full | Varies | |
| Gets better over time | Compounding | Same on day 1 and day 100 | Only if manually updated |
Give your team an AI that actually learns.
Cortex agents start smart and get smarter every day. Deploy yours in 10 minutes.