agent-memory is agent-read markdown (skill) from komluk/scaffolding: 3-tier markdown memory protocol (shared/agent/conversation) for cross-session knowledge. TRIGGER when: reading or writing agent memory files, choosing which memory tier an insight belongs in, or starting a task needing prior context. SKIP: vector recall (use semantic-memory-mcp); distilling conversations into candidates (use distill)..
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
# Agent Memory Protocol
3-tier persistent memory system for cross-session knowledge accumulation.
## Memory Tiers
| Tier | Path | Scope | Written By | Read By |
|------|------|-------|------------|---------|
| **Shared** | `.scaffolding/agent-memory/shared/KNOWLEDGE.md` | Whole project | Any agent | All agents |
| **Agent** | `.scaffolding/agent-memory/agents/{agent-name}/MEMORY.md` | Per agent | Owning agent | Own agent + architect |
| **Conversation** | `.scaffolding/conversations/{conversation_id}/agent-memory/context.md` | Per conversation | Any agent in conversation | Agents in same conversation |
## Automatic Injection
Memory is auto-injected into agent context via `recall_for_agent()` in the task execution pipeline. When a task starts, the system reads:
1. `.scaffolding/agent-memory/shared/KNOWLEDGE.md` (always)
2. `.scaffolding/agent-memory/agents/{agent-name}/MEMORY.md` (when agent_name is known)
3. `.scaffolding/conversations/{id}/agent-memory/context.md` (when conversation_id is provided)
This means agents receive memory context automatically. Manual reading on first turn is optional but recommended for verifying latest data.
## On First Turn
…
Pin 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.
A 17 of 17 checks passed. Deterministic, no model, 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 (6860 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
komluk/scaffolding · 15 stars · license MIT · pushed 2026-09-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_kss6vwbrdjpwqcm3
GET https://markdownregistry.com/api/v1/resolve?ref=komluk/scaffolding/agent-memory
GET https://markdownregistry.com/api/v1/blob/29c1ff1c13f7b785ba893364b7461febebc72e3644f9bfa6a762025728c7e94f
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.
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