AgentScout / evals & observability / Kore.ai Autoloop
evals & observabilityEnterpriseAdded Oct 14, 2026

Kore.ai Autoloop logoKore.ai Autoloop

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Optimization engine in Kore.ai Agent Platform Artemis that evaluates agents against business goals, diagnoses failures from traces, applies targeted fixes, and re-verifies; GA Oct 2026.

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Good for: evaluating agents, monitoring agents in production

Use cases

About Kore.ai Autoloop

Kore.ai Autoloop is listed in our evals & observability category and is aimed at builders. Optimization engine in Kore.ai Agent Platform Artemis that evaluates agents against business goals, diagnoses failures from traces, applies targeted fixes, and re-verifies; GA Oct 2026. Pricing, as the maker states it: Enterprise (part of Kore.ai Agent Platform Artemis). Maturity: Generally available. We last checked the official link on 2026-10-14.

What is Kore.ai Autoloop?

Autoloop is the agent optimization engine in Kore.ai's Artemis agent platform, released on October 13, 2026. Teams set the goals an agent should meet. Autoloop then evaluates the agent against those goals, traces failures to their root cause, applies targeted fixes and re-checks every change for regressions before keeping it.

Goals cover seven dimensions: task completion, accuracy and grounding, business-rule adherence, token and cost efficiency, end-user experience, robustness, and guardrails and safety. Problems that can be fixed deterministically, such as contracts, fixtures and routing rules, are repaired directly, and models are used where judgment is needed. Changes can be applied in three modes: Autopilot applies them automatically, Copilot waits for a person to approve, and Advisor only recommends them.

Sources: kore.ai/blog/autoloop-continuous-ai-agent-optimization-for-production and our directory listing, checked 2026-10-18.

Who is Kore.ai Autoloop for?

Enterprises running complex networks of production agents on Kore.ai that need agent quality to improve continuously without regressions.

Key features

  • Goal-based evaluation across seven dimensions
  • Traces failures across multi-agent paths to root cause
  • Deterministic repairs plus model-based judgment
  • Every change gated and re-verified against all goals
  • Autopilot, Copilot and Advisor modes

Kore.ai Autoloop FAQ

What is Kore.ai Autoloop?

Autoloop is the agent optimization engine in Kore.ai's Artemis agent platform, released on October 13, 2026. Teams set the goals an agent should meet. Autoloop then evaluates the agent against those goals, traces failures to their root cause, applies targeted fixes and re-checks every change for regressions before keeping it.

Who is Kore.ai Autoloop for?

Enterprises running complex networks of production agents on Kore.ai that need agent quality to improve continuously without regressions.

Is Kore.ai Autoloop free?

Kore.ai Autoloop's pricing, as the maker states it: Enterprise (part of Kore.ai Agent Platform Artemis). Check the official site for current plans.

What are alternatives to Kore.ai Autoloop?

Similar tools include Latitude, Judgeval, CoreWeave Forge, Rogue, Superlog and Agent Memory Leaderboard.

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