github search·msr-orchard-wildawm
MSR-Orchard/WildAWM
MSR-Orchard/WildAWM: Agent learning is shifting from learning from human data toward learning through interaction with the world. However, scaling such learning directly in real-world computer systems is challenging and can introduce substantial security risks. We therefore propose Agent World Mod...
AgentScore
22.5+0.01
+0.01 vs 24h ago
Adoption8.1
Quality50.0
Momentum52.4
Community13.5
Unrated pillars contribute zero
CapabilitiesCode GenerationMulti Agent
DeploymentCli
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 stars+1.1%89→ 32.6MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 3 scaled values = 8.1.
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/msr-orchard-wildawm)
HTML
<a href="https://agenttape.com/agents/msr-orchard-wildawm"><img src="https://agenttape.com/api/badge/msr-orchard-wildawm.svg" alt="AgentTape" /></a>
Similar
Vibe-search via embedding cosine
Score envelope last computed 10h ago.