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Deploy and operate AI agents securely at scale
Pros
- Pay only for active consumption
- Idle CPU not billed during LLM waits
- Framework-agnostic (use any agent SDK)
- Deep AWS integration; $200 free-tier credits
Cons
- Many components with separate charges
- Hidden costs (idle memory, CloudWatch, policy)
- Model inference fully additive
- Requires AWS expertise
✓ Where it shines / best for
- Enterprises deploying production AI agents on AWS at scale
- Teams wanting framework-agnostic agent infrastructure
- Developers needing secure agent runtime, memory, and tool gateways
✕ Not the best fit for
- Solo users or hobbyists wanting fixed, predictable flat pricing
- Non-AWS shops avoiding cloud vendor lock-in
- No-code users without engineering resources
Features
- ✓ API access
- ✓ Agent Runtime
- ✓ Agent Memory
- ✓ Consumption Based
- ✓ Enterprise Security
- ✓ Framework Agnostic
- ✓ Serverless
- ✓ Tool Gateway
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Consumption-based | Pay-as-you-go | usage | No upfront cost or minimum fees; billed per component |
| AgentCore Runtime | Usage-based | per second | Charged on CPU and memory consumed while running agents, billed per second |
| AgentCore Memory | Usage-based | per event/storage | Short-term memory charged per event stored; long-term memory charged for storage and retrieval |
| AgentCore Gateway | Usage-based | per invocation | Charged on tool invocations and API calls |
| AgentCore Browser & Code Interpreter | Usage-based | usage | Charged on compute resources consumed |
| AgentCore Identity | $0 | no additional charge | No extra charge; pay only for underlying resources |
Pricing verified from the official source. Prices change often — confirm on the vendor's site before buying.
Specifications
| model | consumption-based, framework-agnostic |
Sponsored
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