The memory layer
for AI applications.
Model-agnostic memory layer that unifies context, cuts costs, and improves retrieval.
Zero-Friction Intelligence Layer
No new adapters. No platform lock-in. No rebuilding your agents. Cortyxia wraps around your existing API key and adds model-agnostic memory, real-time context improvement, and deep AI and Agentic observability — with zero overhead.
What we are — and what we are not
We are not a vector store, not a cache layer, and not a band-aid on top of your existing stack. Cortyxia is a purpose-built memory context architecture designed from the ground up to let AI applications remember, reason, and adapt across every conversation. No retrofitted SQL, no bolted-on Redis — just intelligent, persistent context that works.
Not Another Fast Database for AI
We are not a vector store, not a cache layer, and not a band-aid on top of your existing stack. Cortyxia is a purpose-built memory context architecture designed from the ground up to let AI applications remember, reason, and adapt across every conversation. No retrofitted SQL, no bolted-on Redis — just intelligent, persistent context that works.
Streamline and Consolidate
intelligence.
We unfiy all knowledge,
across models, sessions, tools and third-party applications,
making your agents smarter and more efficient with every interaction.
Unified Memory
Cortyxia bridges the intelligence gap between your applications. A single, persistent memory layer that scales information bidirectional across your entire stack.
Cumulative Intelligence
Every resolved ticket, strategic decision, and customer conversation enriches the shared memory layer. Your organization's expertise compounds over time — new team members inherit years of knowledge on day one, and insights never decay.
Compounding expertise
Zero-Overhead Capture
Use any AI or LLM exactly as you do today. Every conversation and output is automatically captured and structured into your shared knowledge base at the infrastructure layer. No shared documents to maintain, no copying, no extra steps.
Cross-Platform Sync
Real-time bidirectional synchronization keeps every connected enterprise app in lockstep. Update once, reflect everywhere instantly.
Works With Your Stack
Native integrations with Salesforce, HubSpot, Zendesk, ServiceNow, Jira, Slack, Teams, Workato, and more. Connect your entire stack in minutes.
Granular Observability
& Comparison.
Understand every nuance of your AI interactions
and compare performance across providers.
OSuite Observability
Four lenses into every inference. Compare models, audit prompts, examine guardrails, and trace every step — all in one pane.
Model Comparison
Benchmark every model across cost, latency, and token usage. Track 6 quality metrics — hallucination, groundedness, drift, relevance, safety, and accuracy — in a unified leaderboard.
Prompt Metrics
See how each prompt fares between models on the 6 core metrics. Spot weak prompts, compare outputs side-by-side, and optimize what you send to the LLM.
Tracer
Full granular visibility into every message. Trace tool calls, memory searches, context retrieval, and agent reasoning across the entire pipeline — no black boxes, full accountability.
Guardrail Check
Auto-detect behavior and guardrails, ranging from positive to tone to styling, and more — from 'you are a marketing bot' to 'do not mention Topic X'. Every message pair is checked for compliance with full violation traces.
Provider Independent
Memory.
Memory Infrastructure that works across all providers.
Build a continuous, evolving knowledge layer for your business.
Agnostic Intelligence
One SDK. Six providers. Infinite memory. Same Context, Different Capabilities.
Unified API
Need to build a dashboard catered according to your knowledge base? Choose Claude, Wanna use your knowledge base to answer email? Choose Gemini.
Drop-in Compatibility
Import library, add API key directly from your provider, and start using Cortyxia. No refactoring required.
import { IsoSDK } from '@iso/sdk';
const iso = new IsoSDK({ apiKey: '...' });
// Automatic context injection
await iso.chat.completions.create({...});Instant Switching
Change providers based on complexity or cost dynamically.
Cost Reduction
Smart routing and semantic caching reduces total token usage.
Saved this month
Strengths Mapped. Gaps Flagged.
Per-project intelligence health scores and coverage gap analysis
surface exactly where your knowledge is solid — and where it needs work.
Knowledge Health
Surface missing information from across your organization. See which business functions your AI handles well — and where institutional knowledge is missing.
Intelligence Coverage Map
A comprehensive view of your organization's knowledge health across all business functions. Track coverage gaps, See stale signals - memory that may have been outdated and needs refreshing. Identify blind spots and gap trends: number of queries in the last 7 days where no relevant memory was found, and prioritize knowledge acquisition efforts.
Memory Nodes and Connections
See an in-depth review of memory nodes and their connections and how spread apart they are. Check nodes that are over-retrieved (hotspots in memory) or under-retreived in a comparitive view across sources. Identify exact clusters of related information and gaps in coverage.
Token-Efficient Memory
Isolated namespaces and precision retrieval keep every project in scope and every prompt lean. No wasted tokens, no cross-contamination.
Pooled Memory
Multiple API keys feeding into the same memory pool, or keep each key locked to its own isolated context. You decide what converges across teams and what stays private — no duplication, no leakage.
Precision Retrieval
Semantic relevance scoring surfaces exactly the memory your model needs — no more stuffing the full context window. Hot nodes rank higher, stale context gets deprioritized, and prompts stay lean even as your knowledge base grows.
Private Memory Keys
Every project, team, or environment gets its own isolated key. Memory stays scoped and impossible to cross-contaminate.
Observability Mode
ISO architecture keys can run observability-only — you pick which interactions shape your memory and which stay as pure telemetry.
Granular Infrastructure
Export every query, context node, and relevance score. Self-host with SQLite, PostgreSQL, and Redis — or run cloud. Your memory layer, your way.
Export custom datasets with full traceability
Every prompt sent and received, retrieved context node, relevance score and metrics are logged and exportable. Build custom datasets for model training, RAG optimization, or business intelligence. Exportable as CSV or JSON.
Your infrastructure
Plug in your own database infrastructure. PostgreSQL, Redis, and SQLite. Connect your existing stack in minutes.
Learn more
Common Questions
Everything you need to know about the future of AI memory management.
Memory that compounds.
Stop letting valuable user interactions vanish. Consolidate knowledge, patch intelligence debt, reduce token costs, and give your AI the context layer it deserves.