AgentDB Performance Optimization
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations.
Skill by anubhavg-icpl
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/anubhavg-icpl-agentdb-performance-optimization
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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What's inside
- Skill name
AgentDB Performance Optimization- Description
- Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
- License
- NOASSERTION
- Instructions
- 506 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
- name: "AgentDB Performance Optimization" does not match folder "agentdb-optimization"
- body: 506 lines (spec recommends under 500)
Files (1)
- SKILL.md
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Signals
- Stars
- 11
- Forks
- 4
- Open issues
- 0
- Last commit (this folder)
- May 4, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- NOASSERTION
- Repository
- github.com/anubhavg-icpl/vibe
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Choose a 3D generation or reconstruction pipeline given input type, output format, and use case.
SkillCFreshness: C★ 11Claude Code +9 - 0.531score
browser
anubhavg-icpl
Web browser automation with AI-optimized snapshots for claude-flow agents
SkillCFreshness: C★ 11Claude Code +9 - 0.526score
V3 Performance Optimization
anubhavg-icpl
Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction.
SkillCFreshness: C★ 11Claude Code +9 - 0.526score
V3 Deep Integration
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Deep agentic-flow@alpha integration implementing ADR-001.
SkillCFreshness: C★ 11Claude Code +9 - 0.526score
V3 Memory Unification
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Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements.
SkillCFreshness: C★ 11Claude Code +9 - 0.526score
V3 DDD Architecture
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SkillCFreshness: C★ 11Claude Code +9
Cite this page
AgentDB Performance Optimization skill. Agent Mart. https://agentmart.dev/skills/anubhavg-icpl-agentdb-performance-optimization (last updated 2026-10-24)