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Saksham4796/causal-memory-intervention
Saksham4796/causal-memory-intervention: Long-horizon LLM agents rely on persistent memory to support interactions across sessions, yet existing memory systems often retrieve context using semantic similarity or broad history inclusion, treating retrieved memories as uniformly useful. This assumption is fragile becau...
AgentScore
7.50.00
+0.00 vs 24h ago
Adoption2.5
Quality0.0
Momentum50.0
Community5.0
Quality unrated · weight redistributed
CapabilitiesCode GenerationRag
DeploymentLibrary
MaturityExperimental
Score breakdown
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Pillar contributions
- GitHub stars1→ 5.0
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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