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hr-jin/MUSE
hr-jin/MUSE: Historical experience can guide scientific coding at multiple levels, but task-level retrieval may miss implementation lessons that become relevant during execution. We introduce MUSE, a memory management framework combining multi-level memory with selective runtime injection...
AgentScore
18.8+0.07
+0.07 vs 24h ago
Adoption5.7
Quality50.0
Momentum50.0
Community5.0
Unrated pillars contribute zero
CapabilitiesCode GenerationRag
DeploymentIde Plugin
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- GitHub stars1→ 5.0MCP registry listing0→ 0.0SO questions (7d)0→ 0.0Tech-news mentions (30d)+300.0%4→ 23.4
Pillar = mean of 4 scaled values = 5.7.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: PyPI monthly installs, Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d)
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
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Benchmarks
| Benchmark | Score | Max | Captured |
|---|---|---|---|
| gpqa-diamond | 125.00 | 100.00 | 7d ago |
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Score envelope last computed 3h ago.