[KongchangAI]
Product

Harbor

An agent evaluation framework designed for long-horizon, stateful tasks. It integrates with LangChain and provides the ability to track intermediate states throughout an agent's multi-step execution process, facilitating systematic assessment of agent behavior over extended interactions.

Timeline (last 90 days)

Oct 26

In the CI/CD process, after Jenkins finishes building the image, it executes docker push to push it to Harbor, and the production server then executes docker pull to pull the image.

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Oct 26

Harbor is a CNCF open-source private image registry that provides capabilities such as role-based access control, image replication, vulnerability scanning, and image signing.

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Oct 12

Harbor's desktop runtime states in a code comment: replaying clicks is not idempotent.

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Sep 20

Harbor received 102 upvotes on Product Hunt, ranking 4th for the day.

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Sep 20

Harbor promises a price lock for three years, after which annual increases are capped at 10%.

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Sep 20

Harbor was built by Spicer Matthews and is positioned as a private second brain, covering multiple content types including notes, scans, PDFs, and recordings.

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Sep 20

Harbor supports searching across notes, scans, PDFs, and recordings, with its OCR capability covering handwritten content.

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Sep 20

Harbor covers Mac, Windows, iPhone, iPad, Android, and Web, and also provides a CLI command-line tool.

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Sep 20

Harbor offers a one-step Evernote import feature.

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Sep 20

Harbor is categorized under Productivity, Notes, and Privacy.

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14 more timeline events

All Facts (20)

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Harbor is a standardized platform for conducting Agent evaluations

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The ability to transform execution traces or raw data into Harbor evaluation tasks is a key skill in Agent evaluation

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Harbor was originally a basic tool built with Sonnet 3.5.

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In the CI/CD process, after Jenkins finishes building the image, it executes docker push to push it to Harbor, and the production server then executes docker pull to pull the image.

50%
Unverified

Harbor is a CNCF open-source private image registry that provides capabilities such as role-based access control, image replication, vulnerability scanning, and image signing.

50%
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Harbor's desktop runtime states in a code comment: replaying clicks is not idempotent.

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Harbor is categorized under Productivity, Notes, and Privacy.

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Harbor provides full data export functionality across all plans.

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Harbor offers a one-step Evernote import feature.

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Harbor supports searching across notes, scans, PDFs, and recordings, with its OCR capability covering handwritten content.

50%
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Harbor covers Mac, Windows, iPhone, iPad, Android, and Web, and also provides a CLI command-line tool.

50%
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Harbor promises a price lock for three years, after which annual increases are capped at 10%.

50%
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Harbor was built by Spicer Matthews and is positioned as a private second brain, covering multiple content types including notes, scans, PDFs, and recordings.

50%
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The blogger used Opus 4.5 to refactor the entire Harbor system on Next.js and Convex.

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The blogger rebuilt the product Harbor on Next.js and Convex using Opus 4.5, and the product is now a SaaS generating $10,000 per month.

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The research team selected 8 models spanning different capability tiers and conducted cross-evaluations across 54 benchmarks

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The research related to Harbor was published as a paper on arXiv

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Harbor Adapters ported over 80 benchmarks into a framework capable of evaluating any Agent by developing a unified adapter layer

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Each model was run using either Terminus-2 or one of three native harnesses

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GitLab、Harbor、Thanos 等开源项目都将 S3 兼容存储作为推荐甚至默认的持久化方案

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