AgentScout / evals & observability / Superlog
evals & observabilityOpen source + cloudNewAdded Oct 21, 2026

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Superlog runs AI agents on routine engineering work around production. You set up automations with triggers and connectors, for example rating each new Sentry issue, posting a plain-language summary to Slack and opening a pull request with the fix, comparing error rates and latency against their normal range every hour, adding missing logs and spans to hard-to-debug code paths, or answering community questions from your code and docs. You choose the model and agent harness and bring your own tokens or subscriptions. The core is open source (Apache-2.0) with a hosted version.

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Good for: writing code, reviewing pull requests, automating workflows, evaluating agents

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About Superlog

Superlog is listed in our evals & observability category and is aimed at builders. Superlog runs AI agents on routine engineering work around production. You set up automations with triggers and connectors, for example rating each new Sentry issue, posting a plain-language summary to Slack and opening a pull request with the fix, comparing error rates and latency against their normal range every hour, adding missing logs and spans to hard-to-debug code paths, or answering community questions from your code and docs. You choose the model and agent harness and bring your own tokens or subscriptions. The core is open source (Apache-2.0) with a hosted version. Pricing, as the maker states it: Open source (Apache-2.0) to self-host; hosted plans and enterprise on the pricing page; bring your own model tokens or subscriptions. Maturity: Active. We last checked the official link on 2026-10-21.

Superlog at a glance

  • Category: Evals & observability
  • Built for: Developers and teams building with AI agents
  • Pricing: Open source (Apache-2.0) to self-host; hosted plans and enterprise on the pricing page; bring your own model tokens or subscriptions (as the maker states it)
  • GitHub: superloglabs/superlog · 1,467 stars (as of Oct 21, 2026)
  • Official site: superlog.sh
  • Listed on AgentScout: Oct 21, 2026

Superlog FAQ

What is Superlog?

Superlog runs AI agents on routine engineering work around production. You set up automations with triggers and connectors, for example rating each new Sentry issue, posting a plain-language summary to Slack and opening a pull request with the fix, comparing error rates and latency against their normal range every hour, adding missing logs and spans to hard-to-debug code paths, or answering community questions from your code and docs. You choose the model and agent harness and bring your own tokens or subscriptions. The core is open source (Apache-2.0) with a hosted version.

How much does Superlog cost?

Superlog's pricing, as the maker states it: Open source (Apache-2.0) to self-host; hosted plans and enterprise on the pricing page; bring your own model tokens or subscriptions. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.

Where can I find Superlog's source code?

On GitHub at superloglabs/superlog, which had 1,467 stars as of Oct 21, 2026.

What are alternatives to Superlog?

Similar tools include AI Beat, Tracely, Rogue, Galileo Agent Leaderboard, Judgeval and OSWorld.

Facts from our link-checked listing, the GitHub repository and the official site. See something wrong? Suggest an edit.

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