Comparison

AWS AgentCore vs Converra

AWS AgentCore optimizes prompts only if you rebuild your stack on five AWS services — Runtime, Observability, Evaluations, Gateway, CloudWatch. That's a multi-month migration to optimize a prompt. Converra works with any agent — voice or text — on AWS, GCP, Azure, or self-hosted, in 10 minutes.

At a glance

Dimension
AWS AgentCore
Converra
Cloud requirement
AWS only — AgentCore Runtime + Observability + Evaluations + Gateway + CloudWatch
Any cloud, any provider, any framework
Optimization surface
System prompts + tool descriptions only
Prompts, tools, few-shot, retrieval, structural
Autonomy
Developer-triggered. You decide when to ask, you decide what ships
Autonomous loop with governed deployment + rollback
Pre-deploy testing
Batch eval + live A/B traffic split via Gateway
Simulation-based head-to-head before any live traffic
Voice agent support
Not supported — text traces in CloudWatch only
First-class voice support — ASR, TTS, turn-taking, latency
Setup time
Rebuild agent on AgentCore + configure IAM + CloudWatch log groups + Gateway routing
10-minute audit, no instrumentation required to start
Production verification
Post-deploy eval scores; you watch the dashboard
Watches post-deploy production traces and compares scored outcomes against the pre-deploy baseline to confirm the target metric actually moved
Auto-rollback on regression
Manual — you stop the test in Gateway and re-promote the prior version
Automatic — rolls back the deployment without human intervention
MCP for coding agents
Not available
Converra primitives (simulate, regression, optimize, deploy, get_insights) exposed as MCP — drive optimization from Claude Code, Cursor, or any MCP-aware IDE
Buyer
AWS-native ML platform engineer
Anyone who owns the agent's behavior — PM, founder, AI eng

Deciding in 60 seconds?

  • →Already running every agent inside AgentCore Runtime? AWS may be a fit.
  • →Running agents anywhere else — or any voice agent? Converra.
  • →Want optimization without rebuilding your stack? Converra ships fixes in minutes, not weeks of refactor.

When to use each

When AWS AgentCore makes sense

AgentCore Optimization is built for AWS-native enterprise teams:

  • Teams already fully committed to AWS AgentCore Runtime
  • Enterprises with existing CloudWatch + IAM + Bedrock investment
  • Use cases where AWS Marketplace procurement is mandatory
  • Workloads that need to stay inside an AWS Organization for compliance

When Converra makes sense

Converra is built for teams that want optimization without rewriting their stack:

  • Any cloud, any model provider, any agent framework
  • Voice agents and multimodal stacks
  • Autonomous optimization — no human approval per change
  • Simulation-based pre-deploy testing before live traffic
  • 10-minute /eval audit with no instrumentation
  • Optimization surface beyond prompts: few-shot, retrieval, structural
  • Production verification of the deployed fix, not just eval scores
  • Auto-rollback on regression — no human-in-loop required
  • MCP server — drive Converra from Claude Code or any coding agent

AWS AgentCore optimizes if you rebuild on it. Converra optimizes where your agent already lives.

What AWS optimizes vs what Converra optimizes

AWS's announcement is explicit: AgentCore Optimization V1 targets the system prompt and tool descriptions. That's a narrow slice of what actually moves agent quality.

AWS AgentCore V1

  • System prompt
  • Tool descriptions
  • —Few-shot examples
  • —Retrieval strategies
  • —Memory / context structure
  • —Skills / new tool generation (roadmap)
  • —Voice (ASR/TTS/turn-taking)

Converra

  • System prompt
  • Tool descriptions
  • Few-shot examples
  • Retrieval strategies
  • Memory / context structure
  • Structural prompt edits
  • Voice — first-class

Frequently asked questions

Does Converra work if I'm on AWS?

Yes. Converra is cloud-agnostic and works with agents running on EC2, ECS, Lambda, Bedrock direct, or anywhere else. You don't need AgentCore Runtime, AgentCore Gateway, or any specific AWS service.

Can I use both AgentCore Optimization and Converra?

If you're committed to AgentCore Runtime, yes — they're not mutually exclusive. AgentCore optimizes prompts inside its own runtime; Converra adds simulation-based testing, broader optimization surface, and voice agent support.

AWS says optimization is now built in. Why pay for a separate tool?

AgentCore optimization only runs inside AgentCore Runtime + Observability + Evaluations + Gateway + CloudWatch. If your agent isn't deployed on all five, the product cannot run. Converra has no infrastructure prerequisites.

Does AWS optimize tool calls or just prompts?

Per AWS's announcement, AgentCore optimizes the system prompt and tool descriptions only. Few-shot examples, retrieval strategies, memory, and skills are not in the V1 surface (skills are on the roadmap).

Is AgentCore optimization autonomous?

No. AWS explicitly states the preview is developer-triggered: 'the service proposes, and you decide what to take forward.' Converra runs the full loop autonomously with governed deployment and instant rollback.

Other comparisons: vs Microsoft Foundry · vs OpenAI · vs Anthropic · vs Braintrust · vs LangSmith · vs Arize

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