Intelligence Layer
The right model for every task
No vendor lock-in. NRNS works with Claude, GPT-4, Gemini, and more — smart routing picks the best model per task, fallback chains prevent interruptions, and you can swap providers without changing a line of code.
Multi-Provider Support
No lock-in, full flexibility
NRNS abstracts the AI layer so you never depend on a single provider. Add or swap models without touching your workflows — your agents keep working, regardless of which provider powers them.
Swap Anytime
Switch providers or add new models with zero code changes. Your workflows and agents stay the same.
Per-Task Routing
Each task is evaluated independently so the right model handles the right work.
Cost Optimization
Routes simple tasks to cheaper models and reserves premium models for complex reasoning.
Smart Routing & Fallback
Smart routing, no babysitting
Every task is scored for complexity, urgency, and cost. The routing engine picks the best provider and handles failover automatically — one less thing for you to manage.
Cost-Aware Routing
Balances model quality against token cost so you get the best result within budget.
Latency Optimization
Time-sensitive tasks route to faster models while complex work goes to deeper reasoners.
Automatic Fallback
If a provider is down or rate-limited, the next model in the chain picks up instantly.
Memory Tiers
Context that builds over time
Five tiers of memory — from ephemeral sessions to persistent org knowledge — so your agents carry forward what they've learned and never ask the same question twice.
Semantic Search
Agents query memory by meaning, not keywords. Related context surfaces automatically.
Auto-Extraction
Key decisions, patterns, and conventions are extracted from every session and stored.
Retention Policies
Configure how long each tier retains data. Session memory expires; org memory persists.
Memory Pyramid
Context Persistence
Pick up where you left off
Every new session inherits the full history of past decisions, team conventions, and project knowledge. Your agents arrive ready to contribute from the first message.
Cross-Session Memory
Knowledge carries over between sessions so agents pick up where they left off.
Convention Recall
Coding standards, naming conventions, and architecture decisions are remembered automatically.
Preference Learning
Each team member's feedback loop refines agent behavior over time.
No context loaded
Full context restored
Model-Aware Assignment
The right tool for each job
Every task type has an optimal model. The routing engine maps work to the provider that excels at it — so your agents always bring their best.
Code Tasks → Claude
Code generation, refactoring, and review route to Claude for nuanced reasoning and long-context understanding.
Documentation → GPT-4
Technical writing, API docs, and structured content go to GPT-4 for precise, well-organized output.
Image Analysis → Gemini
Screenshots, diagrams, and visual assets route to Gemini for native multi-modal understanding.
Quick Tasks → Fast Models
Simple lookups, formatting, and boilerplate use lightweight models for instant turnaround at minimal cost.
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Agents & Orchestration
AI agents that draft plans and prepare work — you review, refine, and approve.
Bridges & Integrations
Keep your team and agents in sync with GitHub, Slack, and more.
Security & Governance
Enterprise-grade permissions, sandboxing, and audit trails you can verify.
Smarter agents, less overhead
Get early access to multi-provider AI with smart routing, fallback chains, and memory — so your agents get sharper and your team moves faster.