repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
Nexis-AI/NexBench
NEXBENCH measures what an autonomous agent can actually do on-chain — execute transactions, route swaps, bridge funds, manage DeFi positions, research tokens, catch drainers, reconstruct portfolios, and run treasury governance — across 214 tasks in 8 categories, each run 5 times against deterministic forked-mainnet environments.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 56%Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents →
- PossiblePossibly related (embedding) · 55%Alibaba's model never trained as an agent — and improved agent performance across seven benchmarks →
- PossiblePossibly related (embedding) · 54%NVIDIA Brings Trusted, 24/7 AI Agents to Telecom Operations →
- PossiblePossibly related (embedding) · 53%AI Innovators Adopt NVIDIA Vera — Why Max Single-Threaded CPU at Scale Matters →
- PossiblePossibly related (embedding) · 53%Production-grade AI agents for financial compliance: Lessons from Stripe →
- PossiblePossibly related (embedding) · 54%Show HN: On-chain bond market where the issuers are AI agents →
Covers
newsAgentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agentsnewsAlibaba's model never trained as an agent — and improved agent performance across seven benchmarksnewsNVIDIA Brings Trusted, 24/7 AI Agents to Telecom OperationsnewsAI Innovators Adopt NVIDIA Vera — Why Max Single-Threaded CPU at Scale MattersnewsProduction-grade AI agents for financial compliance: Lessons from Stripe
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Related across the graph
newsAI Innovators Adopt NVIDIA Vera — Why Max Single-Threaded CPU at Scale MattersnewsShow HN: On-chain bond market where the issuers are AI agentsnewsAgentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agentsnewsAlibaba's model never trained as an agent — and improved agent performance across seven benchmarksnewsNVIDIA Brings Trusted, 24/7 AI Agents to Telecom OperationsnewsProduction-grade AI agents for financial compliance: Lessons from Stripe