AgentDB Performance Optimization SKILL.md skillA
AgentDB Performance Optimization from spencermarx/open-code-review is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add spencermarx/open-code-review/AgentDB Performance Optimization@git:20260304.1a73d7fPins git:20260304.1a73d7f in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- spencermarx/open-code-review
- Path
.claude/skills/agentdb-optimization/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260304.1a73d7f, committed Mar 4, 2026
- Size
- 12,165 bytes
- Repository stars
- 382
- License
- Apache-2.0
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# AgentDB Performance Optimization
## What This Skill Does
Provides comprehensive performance optimization techniques for AgentDB vector databases. Achieve 150x-12,500x performance improvements through quantization, HNSW indexing, caching strategies, and batch operations. Reduce memory usage by 4-32x while maintaining accuracy.
**Performance**: <100µs vector search, <1ms pattern retrieval, 2ms batch insert for 100 vectors.
## Prerequisites
- Node.js 18+
- AgentDB v1.0.7+ (via agentic-flow)
- Existing AgentDB database or application
---
## Quick Start
### Run Performance Benchmarks
```bash
# Comprehensive performance benchmarking
npx agentdb@latest benchmark
# Results show:
# ✅ Pattern Search: 150x faster (100µs vs 15ms)
# ✅ Batch Insert: 500x faster (2ms vs 1s for 100 vectors)
# ✅ Large-scale Query: 12,500x faster (8ms vs 100s at 1M vectors)
# ✅ Memory Efficiency: 4-32x reduction with quantization
```
### Enable Optimizations
```typescript
import { createAgentDBAdapter } from 'agentic-flow/reasoningbank';
// Optimized configuration
const adapter = await createAgentDBAdapter({
dbPath: '.agentdb/optimized.db',
quantizationType: 'binary', // 32x memory reduction
…Read the whole file at its exact version.
How to install
mdr add spencermarx/open-code-review/AgentDB Performance Optimization@sha256:0438ee74207accceThe line at the top of this page pins the label git:20260304.1a73d7f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_kplwi2wivijia44d)
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Versions
The registry has recorded 1 version of this file, committed on Mar 4, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12165 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
spencermarx/open-code-review · 382 stars · license Apache-2.0 · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_kplwi2wivijia44d GET https://markdownregistry.com/api/v1/resolve?ref=spencermarx/open-code-review/AgentDB Performance Optimization GET https://markdownregistry.com/api/v1/blob/0438ee74207accce878f510cfd1699aaf1a267b6e7d5a6571a27dfbd7d2009e9
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.