Unverified50% confidenceFactExact time
Harbor-Index is a curated set of 82 high-difficulty tasks spanning 29 benchmarks
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe construction of Harbor-Index went through multiple rounds of filtering, including difficulty filtering, dual AI and human review, and review-fix iteration cycles67% similarUnverifiedHarbor Adapters ported over 80 benchmarks into a framework capable of evaluating any Agent by developing a unified adapter layer66% similarUnverifiedByteDance has released the EdgeBench benchmark for evaluating the long-term learning capabilities of autonomous AI Agents, covering 134 tasks across 6 categories, with 51 tasks already made public.61% similarUnverifiedThe team added 21 test cases for the config file writing mechanism.61% similarUnverifiedIn actual testing, one Deep Research call invoked 104 agents for targeted research, completing fact-checking based on 22 sources and 59 claims.57% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/902671API
curl https://kongchang.com/api/v1/knowledge/claims/902671MCP
get_claim(id=902671)