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Database to store agent conversations for use in multi agent orchestrators.

4 starsC++

Fast Database for Agents

by wanderinglight·Feb 27, 2026·1 point·0 comments
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AI Analysis

●●SolidWizardryBig BrainNiche Gem

LSM + LLM summarization for agent logs; clever architecture, but zero adopters yet.

Strengths
  • •Tablet architecture decouples semantic indexing from raw storage, reducing noise in vector search.
  • •Semantic predicate pushdown + byte-offset O(1) payload retrieval is genuinely clever optimization.
  • •Benchmarks provided (2.8k QPS for writes, 240 QPS for queries); concrete performance claims.
Weaknesses
  • •Complex C++/CMake/FAISS/protobuf stack makes adoption friction steep for Python/JS agent frameworks.
  • •No Python bindings, no Docker image, no managed cloud offering; requires building from source.
  • •Niche problem (agent log retrieval) with no proven market; addresses real pain but no user validation.
Target Audience

Multi-agent orchestration frameworks, LLM-heavy applications requiring persistent agent state

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