Build AI applications that retain useful context.
HardCarrx gives AI teams structured memory, context reconstruction, semantic cache, provider routing, and request-level observability in one platform. Ship one endpoint and keep application context consistent across sessions.
Structured memory active
One platform for memory, cache, routing, and traces
Policy matched: low-latency model
OpenAI-compatible API
POST https://api.hardcarrx.com/v1/chat/completionsFeatures
Everything your AI product needs to remember, route, and scale.
HardCarrx turns stateless AI calls into governed product infrastructure: structured memory for continuity, semantic cache for unit economics, and routing visibility for production control.
Structured Memory Platform
Capture facts, preferences, episodes, tasks, summaries, and checkpoints so AI applications can reconstruct useful context when it matters.
Semantic Cache
Reduce repeated model calls by matching similar intent, lowering latency and cost without forcing product teams to rebuild cache logic.
Provider Routing + Observability
Route traffic through an OpenAI-compatible API with provider flexibility, request tracing, keys, limits, and billing hooks.
Integrate in minutes
Start with one endpoint, then add memory, cache, and routing control
Point your app at HardCarrx, attach one API key, and progressively tune context reconstruction, provider policy, cache behavior, retention, and request visibility from one control plane.
Quick start
export HARDCARRX_API_KEY=hxv_your_workspace_api_key hardcarrx chatbox \ --model gpt-4.1-mini \ --provider openai \ --api-key "$HARDCARRX_API_KEY"Why HardCarrx
Move beyond stateless prompts and chat history.
Traditional AI products repeat prompts, lose context, and inherit vendor lock-in. HardCarrx gives teams structured memory, context reconstruction, semantic cache, provider independence, and full request observability in one governed layer.
Structured memory for real product state
Store facts, preferences, episodes, tasks, summaries, and checkpoints with workspace-scoped controls.
Context reconstruction at inference time
Retrieve only the context that matters so answers improve without uncontrolled prompt growth.
Continuity independent of model vendors
Keep product memory and quality signals under your control even as routing policies and providers change.
Architecture preview
See one request move through routing, cache, memory, and observability
HardCarrx sits between your application and model providers so each request can reuse context, avoid repeated work, route by policy, and leave a trace your team can inspect.
Step 1
Application
Step 2
HardCarrx
Step 3
Routing
Step 4
Cache
Step 5
Structured Memory
Step 6
Provider
Step 7
Observability
Pricing
Plans built for AI products that remember
Clear limits for memory-enabled requests, context items, workspaces, and retention, with calm upgrade paths as memory, routing, and cache 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.
Start building AI with persistent, controlled context.
Create your account to connect one endpoint for structured memory, semantic cache, provider routing, and request-level observability.
Memory, routing, cache, and traces in one operating layer