Persistent memory for AI agents.
Hardcarrx gives AI applications persistent memory, semantic cache, provider routing, and request-level observability through one control plane. Ship one endpoint, then scale with context.
Live memory active
One endpoint, four operational layers
Policy matched: low-latency model
SDK / CLI onboarding
hardcarrx chatbox --model gpt-4.1-mini \ --provider openai \ --api-key hxv_your_api_keyFeatures
Everything your AI product needs before launch.
Hardcarrx gives you the memory, cache, routing, and observability primitives needed to ship production AI experiences with less reinvention and more operational clarity.
Long-term memory
Store useful user preferences and retrieve them safely with per-user isolation and developer controls.
Semantic cache
Reduce repeated model calls by matching similar requests and serving trusted cached responses.
One gateway API
Route AI traffic through an OpenAI-compatible interface with observability, keys, limits, and billing hooks.
Developer onboarding
Ship with one endpoint, then layer in memory, cache, and observability
Start with the simplest production path first. Point your app at Hardcarrx, attach one Hardcarrx API Key, and progressively tune provider routing, retention policy, and request visibility from one control plane.
Quick start
pip install git+https://github.com/Hardcarrx/Hardcarrx-SDK.git hardcarrx chatbox --model gpt-4.1-mini \ --provider openai \ --api-key hxv_your_api_keyMemory + cache advantage
Turn every request into a better next response.
Cache improves cost and latency now. Memory improves product quality over time. Hardcarrx lets teams keep both layers in one governed platform so continuity compounds without locking your experience to a single provider.
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
Pricing
Plans built for memory-enabled AI workloads
Clear usage limits for memory-enabled AI workloads, with calm upgrade paths as routing, cache, and continuity become production-critical.
Free
Best for: POCs and internal validation
- ✓ 1,000 memory-enabled requests / month
- ✓ 1 workspace
- ✓ 10,000 context items
- ✓ 14-day retention
Starter
Best for: Early production workloads
/ month
- ✓ 10,000 memory-enabled requests / month
- ✓ 2 workspaces
- ✓ 50,000 context items
- ✓ 30-day retention
Pro
Most PopularBest for: Revenue-critical AI experiences
/ month
- ✓ 50,000 memory-enabled requests / month
- ✓ 5 workspaces
- ✓ 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 workspaces
- ✓ 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.
Ready to ship AI memory infrastructure without rebuilding the stack?
Create your account to configure one endpoint for routing, semantic cache, durable memory, and request-level observability.
Production controls in one gateway layer