github search·d2i-ai-vibetraining-bench
D2I-ai/VibeTraining-Bench
D2I-ai/VibeTraining-Bench: Recursive self-improvement (RSI) requires agents to diagnose system bottlenecks and coordinate improvements across training and inference. We refer to the agents' capability to jointly optimize training data, the trainer, and the inference harness as cross-component co-design....
AgentScore
10.40.00
+0.00 vs 24h ago
Adoption3.5
Quality0.0
Momentum50.0
Community13.4
Unrated pillars contribute zero
CapabilitiesCode GenerationResearch
DeploymentIde Plugin
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
Not enough score history in this window yet — try a wider one.
Pillar contributions
- GitHub stars6→ 14.1MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 3 scaled values = 3.5.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs, PyPI monthly installs
Embed badgeShow your AgentTape rank on your project README
Markdown
[](https://agenttape.com/agents/d2i-ai-vibetraining-bench)
HTML
<a href="https://agenttape.com/agents/d2i-ai-vibetraining-bench"><img src="https://agenttape.com/api/badge/d2i-ai-vibetraining-bench.svg" alt="AgentTape" /></a>
Similar
Vibe-search via embedding cosine
Score envelope last computed 3d ago.