semantic-memory-store skillA
semantic-memory-store is agent-read markdown (skill) from komluk/scaffolding: Store reusable insights in semantic memory for vector-similarity recall. TRIGGER when: an agent discovers a pattern, decision, or gotcha worth retrieving later via embedding search. SKIP: searching/recalling memory (use semantic-memory-mcp); file-based memory writes (use agent-memory)..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Semantic Memory Store Store knowledge as vector-embedded entries in an optional semantic memory service. When the service is available, entries are automatically embedded and retrievable via cosine similarity search by any agent in future sessions. This skill is **optional**. If no semantic memory service is configured, agents should degrade gracefully and rely on the file-based memory described in the `agent-memory` skill. ## When to Use - Agent discovers a non-obvious insight worth preserving beyond file-based memory - A debugging session reveals a root cause that would help future agents - An architectural decision is made that affects multiple components - A pattern or anti-pattern is confirmed through implementation experience - Cross-project knowledge that does not belong in a single file ## When NOT to Use - Temporary task context (use conversation memory in `.scaffolding/conversations/`) - Information already in CLAUDE.md, docs/, or KNOWLEDGE.md - Large code snippets (use file-based memory instead) - Speculative or unverified conclusions ## Availability Check Before attempting to store or search, verify a semantic memory backend is reachable: …
Read the whole file at its exact version.
How to install
mdr add komluk/scaffolding/semantic-memory-store@git:20260731.ebe5c5amdr add komluk/scaffolding/semantic-memory-store@sha256:abdf644d4c81caafPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_56v7olnpompfd4pr)
1 badge views in 30 days
Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260731.ebe5c5a latest | 2026-07-31 | ebe5c5a | 5,945 B | A | view · diff |
| git:20260606.ad5816e | 2026-06-06 | ad5816e | 5,954 B | A | view · diff |
| git:20260520.3aa374b | 2026-05-20 | 3aa374b | 5,591 B | A | view · diff |
| git:20260520.ff8a00e | 2026-05-20 | ff8a00e | 5,518 B | A | view · diff |
| git:20260421.9daa2f0 | 2026-04-21 | 9daa2f0 | 7,740 B | A | view |
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 (5945 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
komluk/scaffolding · 15 stars · license MIT · pushed 2026-09-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_56v7olnpompfd4pr GET https://markdownregistry.com/api/v1/resolve?ref=komluk/scaffolding/semantic-memory-store GET https://markdownregistry.com/api/v1/blob/abdf644d4c81caaf8319a19e74a4beb577cba828d4a80016ee07518d91434af3
Your agent 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.