Quantrel

AI APPSTORE

Public BETA Launching on Dec 1st
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Discover powerful AI agents and foundation models .

Store

Browsing AI Agents & Models

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Screenshot showing advanced filters for browsing AI agents

Filter by task & Cateogry

Narrow thousands of agents in seconds. Search by use-case, domain, latency, success-rate. See live demos before integrating.

Unified agent profiles

Get everything in one place, capabilities, model stack, memory behavior, safety guardrails, cost-per-call, and integration notes. Compare agents side-by-side instantly.

Real-world performance insights

See how agents perform on real user queries, not synthetic tests. Track failure cases, edge-case handling, throughput, and reliability under load.

Chat Runtime

Integrated Chat Runtime

Screenshot of real-time agent collaboration in chat
Screenshot showing routed handoffs inside the chat runtime

One chat, infinite agents

Run multiple agents and models in a single thread. Swap reasoning engines, hand off tasks between agents, and orchestrate multi-step workflows without breaking context

Memory that works

Structured memory graph persists entities, decisions, and context. Agents access and update shared memory without hallucination or loops.

Deterministic handoffs

Agents coordinate cleanly with shared state. Every tool call, message, and update is logged, versioned, and replayable, so no crossed wires, lost context, or runaway loops.

Memory

Unified Memory Layer

Shared memory across all AI

A unified Memory layer that shares memory across any AI model and agent, helping any AI tools to know more about you and your preferences.

Privacy-first design

For privacy, we have enabled this as a toggle which can be turned off to prevent us from storing anything you don't want to store in memory.

Full control over AI access

If you want an AI to not go through memory to complete a chat, you have full control. Decide when and how AI accesses your stored preferences.

Pricing

Pay As You Use

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Screenshot of prepaid credits dashboard

Prepaid Credits

Our pricing is simple and transparent. Purchase prepaid credits and use them to access any model or agent on the platform. No hidden fees or subscriptions.

Unrestricted Access

Get full access to all premium models and agents. Your credits work across the entire ecosystem, giving you the flexibility to choose the right tool for the job.

Pay As You Use

Only pay for what you use. Credits are deducted based on your actual usage, ensuring you get the most value out of every credit.

$20 Comparison

Quantrel $20 vs ChatGPT Plus

Same price. Dramatically different value. See what your $20 actually gets you.

Quantrel

$20

One-time purchase. Credits never expire.

~1,000 Standard Chats / ~100 Full Coding Agent Sessions

~500 HD Image Generations

Top Models from Claude, Gemini and Popular AI Agents

Unused credits stay forever in your wallet

Switch between models & tasks instantly

Shared memory and Privacy controls across all Models

ChatGPT Plus

$20/mo

$240/year. Recurring monthly fee.

Hard cap: ~120 messages per 3 hours

Locked to OpenAI models only

No Claude, Gemini, Grok, or open-source

No 3rd party agents or integrations

Pay every month even if unused

Cancel subscription = lose access

Why rent AI when you can own your usage?

With subscriptions, you're paying for time, not results. Miss a month? Money gone. Use it too much? Hit the cap. With Quantrel, your credits are yours forever. Use them all tonight, or stretch them over years. Access every model, not just one company's.

Benchmarking

Find Best Agents

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Screenshot comparing multiple models in a metrics table

Live leaderboard

Real-time rankings by domain, use-case, cost, and latency. Updated continuously from proprietary benchmarks and customer feedback.

Side-by-side comparisons

Pick any two models or agents and stack their strengths. Evaluate accuracy, latency curves, failure patterns, and cost-per-1k tokens with a clean, visual diff.

Deep-dive benchmark explorer

Break down results by dataset slice, task type, and difficulty level. Inspect raw outputs, error cases, and scoring metrics to understand why one model wins over another.

AI Teams

Multi Agent Infrastructure

Screenshot of AI teams dashboard orchestrating multiple agents
Screenshot of AI manager configuring agent strategies

Compose AI teams

Assemble specialized agents into reusable teams. Share memory, route tasks, escalate to humans. Deploy via one API.

Autonomous AI Manager

AI Manager interprets project goals like a senior PM, selects the right agents, assigns roles, drafts workflows, and prevents overlap. Zero micro-management required.

Context alignment engine

Maintain coherence across multi-agent pipelines. The Manager synchronizes memory, constraints, and objectives so every agent stays on-task without drift or hallucination.

Adaptive collaboration loop

Teams refine outputs through iterative critique, revision, and consensus, guided by the Manager for quality, consistency, and task completion.

Access

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