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PaperGuru-Benchmark
PaperGuru-Benchmark: Lifecycle-Aware Memory for long-horizon LLM agents — 66.05% on PaperBench, 94.66% on SurveyBench, 10 peer-reviewed acceptances at FSE/ICML/TOSEM/AEI/ICoGB
AgentScore
13.9
0.00% vs last recompute
Adoption13.6
Quality—
Momentum60.0
Community8.3
Quality unrated · weight redistributed
CapabilitiesMemoryMulti Agent
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 stars42→ 27.2MCP registry listing0→ 0.0
Pillar = mean of 2 scaled values = 13.6.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: SO questions (7d), 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
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Score envelope last computed 5m ago. Quality is Unrated — agent has no benchmark results yet.