vector-memory SKILL.md skillA

vector-memory from a5c-ai/babysitter is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add a5c-ai/babysitter/vector-memory@git:20260601.da7723a

Pins git:20260601.da7723a in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
a5c-ai/babysitter
Path
library/methodologies/ruflo/skills/vector-memory/SKILL.md
Versions recorded
5
Latest version
git:20260601.da7723a, committed Jun 1, 2026
First version recorded
Mar 25, 2026
Size
1,566 bytes
Repository stars
1,896
License
MIT

HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.

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

- Building and querying knowledge graphs for project context
- Managing cross-session memory across project/local/user scopes
- Fast similarity search for routing decisions

## HNSW Performance

- Search latency: ~61 microseconds
- Query throughput: ~16,400 QPS
- Configurable embedding dimensions (default: 128)

## Knowledge Graph

- **PageRank**: Importance scoring for knowledge nodes
- **Community Detection**: Cluster related patterns
- **LRU Cache**: Fast access to frequently used patterns
- **SQLite Backing**: Persistent cross-session storage

## 3-Tier Memory

| Scope | Persistence | Content |
|-------|------------|---------|
| Project | Codebase-level | Patterns, architecture decisions, dependencies |
| Local | Session-level | Context, adaptations, temporary patterns |
| User | Cross-project | Preferences, learned behaviors, global patterns |

## Agents Used

- `agents/optimizer/` - Memory and cache optimization

## Tool Use

Invoke via babysitter process: `methodologies/ruflo/ruflo-intelligence`

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add a5c-ai/babysitter/vector-memory@sha256:a547a1d3e764711b

The line at the top of this page pins the label git:20260601.da7723a, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_skxicfm3m3bykeb7.svg)](https://markdownregistry.com/a/art_skxicfm3m3bykeb7)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Mar 25, 2026 and Jun 1, 2026, about one every 17 days.

versioncommittedcommitsizeaudit
git:20260601.da7723a latest2026-06-01 da7723a 1,566 BA view · diff
git:20260507.9f5be952026-05-07 9f5be95 1,602 BA view · diff
git:20260507.8dfdcb42026-05-07 8dfdcb4 1,597 BC view · diff
git:20260507.56f011d2026-05-07 56f011d 1,692 BA view · diff
git:20260325.a6b3a882026-03-25 a6b3a88 1,593 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1566 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

GitHub

a5c-ai/babysitter · 1,896 stars · license MIT · pushed 2026-11-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_skxicfm3m3bykeb7
GET https://markdownregistry.com/api/v1/resolve?ref=a5c-ai/babysitter/vector-memory
GET https://markdownregistry.com/api/v1/blob/a547a1d3e764711b58ddd58c5a0955fd9c690ca0d0bdaa2f48db5738c8df0986

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.

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