github search·syannl-nvdamas
SYannL/nvdamas
SYannL/nvdamas: Large language model (LLM) agents increasingly operate in interactive environments, where they need to make sequential decisions through observation, action, and feedback. Although memory can help agents reuse experience, existing work designs memory in isolation, where collec...
AgentScore
22.40.00
+0.00 vs 24h ago
Adoption2.5
Quality50.0
Momentum75.0
Community13.0
Unrated pillars contribute zero
CapabilitiesCode GenerationMemory
DeploymentLibrary
MaturityExperimental
Score breakdown
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Pillar contributions
- GitHub stars3→ 10.0
Pillar = mean of 1 scaled value = 2.5.
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, MCP registry listing
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