Harbor

product→ stable

Harbor is an open-source agent-evaluation framework developed by LangChain that integrates LangSmith sandboxes for testing AI agents. It enables standardized performance benchmarking across different models and tasks.

1Total Mentions

+0.60Sentiment (Very Positive)

0.0%Velocity (7d)

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First seen: Jul 9, 2026Last active: Jul 9, 2026

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Mentions × Lab Attention

Weekly mentions (solid) and average article relevance (dotted)

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Timeline

Product LaunchJul 9, 2026
Added LangSmith sandbox support, enabling swappable agent evaluation backends
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Relationships

Partnered

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LangSmith
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Modal
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E2B
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Daytona
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Uses

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Codex CLI
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Claude Code
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OpenHands
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SWE-Bench Verified
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AI Discoveries

observationactiveJul 11, 2026
Research: Agent Evaluation Frameworks [accelerating]
State of art: Harbor's LangSmith integration makes eval backends swappable across providers, enabling standardized multi-vendor testing.. Key insight: Swappable eval backends commoditize model selection, shifting value to evaluation infrastructure.. Leading: Harbor, LangSmith
70% confidence

Sentiment History

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Range: -1 to +1