One AI endpoint for routing, cache, and memory
HardCarrx is more than a gateway endpoint: it is the operating layer that turns every request into better routing decisions, stronger cache efficiency, and compounding memory quality.
Features
How teams build continuity-first AI with HardCarrx
Start with routing stability, improve unit economics with cache, and create a lasting product advantage through memory that carries context across every interaction.
Route through one production endpoint
Point your app to HardCarrx and centralize model selection, failover, and policy enforcement without rewriting product logic.
Tune cache and memory by workload
Set semantic cache behavior and memory retention rules for each journey so requests stay efficient while user context compounds.
Scale quality with continuity signals
Use observability and memory outcomes to improve response quality, latency, and spend as usage grows across teams and regions.
Memory moat
Memory turns AI requests into a compounding product asset
Routing and cache improve performance now. Memory improves performance over time. HardCarrx captures reusable user and workflow context at the platform layer, so each session starts smarter, personalization stays consistent, and quality compounds across providers.
Persistent user and workflow profiles
Maintain memory by user, team, and journey with explicit retention controls built for enterprise governance.
Relevance-first retrieval at inference time
Inject only high-value context into prompts to raise answer quality while containing token growth and latency.
Provider-independent continuity and quality
Keep user experience stable even when routing changes—memory remains your product IP, not a single model vendor dependency.
Call flow
See one request move through route, cache, and memory
HardCarrx combines routing, cache, and memory in a single operating layer for faster and more reliable AI responses.
Step 1
Client Request
Step 2
Smart Router
Step 3
Cache Layer
Step 4
Memory Layer
Step 5
Provider Response
Our Advantages
Four compounding layers that make each AI request faster, steadier, and easier to operate
Routing
Adaptive provider routing
Selects the best-fit provider per request with policy-aware failover.
Cache
Semantic cache efficiency
Finds intent-level matches to reduce repeated model calls and token spend.
Long Term Memory
Persistent memory continuity
Carries durable user and workflow context across sessions.
Log
Request-level observability
Traces every request end-to-end for reliability, cost, and SLA insight.
Pricing
Plans built for memory-enabled AI workloads
Clear usage limits so you can scale memory features with confidence.
Free
Best for: POCs and internal validation
- ✓ 1,000 memory-enabled requests / month
- ✓ 1 project key
- ✓ 10,000 context items
- ✓ 14-day retention
Starter
Best for: Early production workloads
/ month
- ✓ 10,000 memory-enabled requests / month
- ✓ 2 project key
- ✓ 50,000 context items
- ✓ 30-day retention
Pro
Most PopularBest for: Revenue-critical AI experiences
/ month
- ✓ 50,000 memory-enabled requests / month
- ✓ 5 projects
- ✓ 300,000 context items
- ✓ 180-day retention
Team
Best for: High-scale production and multi-team ops
/ month
- ✓ 250,000 memory-enabled requests / month
- ✓ 10 projects
- ✓ 2,000,000 context items
- ✓ 1-year retention
- Memory-enabled requests: Calls where HardCarrx stores and uses memory to personalize future responses.
- Context items: Individual saved pieces of memory like preferences, facts, or conversation notes.
Frequently asked questions
Practical answers for engineering and product teams evaluating HardCarrx.
How does HardCarrx reduce model spend?
HardCarrx lowers repeat spend through semantic caching, policy-based routing, and duplicate-request suppression. Savings are typically strongest in support, assistant, and workflow-heavy products.
How long does production integration take?
Most teams route initial traffic in hours by pointing to one endpoint. After that, routing, cache, and memory policies can be tuned without app-side rewrites.
Can we run multiple providers at the same time?
Yes. HardCarrx is provider-agnostic and supports traffic strategies based on latency, quality, cost, and reliability targets.
What happens during provider outages or degradation?
You can define automatic fallback paths and routing priorities. If one provider degrades, traffic is shifted by policy without product-level changes.
Does user memory persist across provider changes?
Yes. Memory is managed at the gateway layer, so user context remains consistent even when models or vendors change.
What happens when memory-enabled request quota is exhausted?
Memory-enabled requests are limited by plan, but API passthrough still works after memory quota is exhausted.
Where is my memory stored?
Memory is stored on our provider infrastructure, which is SOC 2 compliant.
How does HardCarrx identify agent memory?
HardCarrx identifies unique memory using a project key. A single project key can be used by one person or a team to build and share memory.
Ready to unify routing, cache, and memory?
Create your account to configure one endpoint for provider routing, semantic cache, and durable user context.
Production controls in one gateway layer