agent-memory

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This skill should be used when the user asks to "manage project memory", "initialize .agent-memory", "migrate memory", "build memory from docs", "save session learnings", "sync memory", "run memory maintenance", "check memory status", or mentions cross-interface persistent memory across Claude Code, Cursor, VS Code, or Craft Agent.

t4sh By t4sh schedule Updated 6/13/2026

name: agent-memory description: "Cross-interface persistent memory for project context, decisions, conventions, and session handoffs. Use when the user asks to "manage project memory", "initialize .agent-memory", "migrate memory", "build memory from docs", "save session learnings", "sync memory", "run memory maintenance", "check memory status", or mentions persistent memory across Claude Code, Cursor, VS Code, Craft Agent, or other file-reading agents." license: MIT compatibility: macOS, Linux, or Windows metadata: author: t4sh version: "2.7.5" tags: memory, context, cross-interface, agent, persistence

Agent Memory Skill

Manage cross-interface persistent memory for AI-assisted projects. Maintain a coherent, up-to-date knowledge base that any AI agent — Claude Code, Cursor, VS Code, Craft Agent, or any file-reading tool — can read and build upon across sessions.

Capabilities

Area Outcome
Initialize Scaffold .agent-memory/ with structure and entry points
Capture Distill session decisions, feedback, and context into durable memory files
Sync Keep memory consistent across Claude Code, Cursor, VS Code, and other file-reading agents
Maintain Compact stale entries, resolve conflicts, clean orphaned files
Migrate Upgrade older formats (v1 flat files, CURSOR.md) to memory format v2.1
Build Scan existing documentation and generate initial memory files

Design Principles

Principle Practice
Open files Store memory as YAML-frontmatter markdown that can be read and edited with any editor or file-reading agent.
Shared entry point Keep AGENTS.md as the canonical instructions file; keep client-specific files thin pointers.
Managed lifecycle Use typed directories, expires metadata, maintain, and sync so memory stays current instead of accumulating noise.
No secrets Store project knowledge and decisions, never credentials, private keys, tokens, or sensitive personal data.

Initial Assessment

Before operating on memory, understand:

  1. Current State — Does .agent-memory/ exist? What version/structure? Older formats needing migration?
  2. User's Goal — First-time setup, saving learnings, or maintenance?
  3. Project Context — Project type, existing docs, how many people/agents contributing?

Commands

Keyword Operation Description
init Initialize Scaffold .agent-memory/, README, index, AGENTS.md, CLAUDE.md, plus per-agent pointer files for the agents in use (e.g. .cursor/rules/index.mdc)
migrate Migrate Detect and migrate older structures (CURSOR.md, flat files, INDEX.yaml) to memory format v2.1
build Build Scan project and auto-generate initial memory files from existing docs
save Save Capture learnings from the current session into memory
maintain Maintain Compact, trim stale, fix index, clean old session logs
sync Sync Pull in external changes + save current session (end-of-session habit)
status Status Read-only health check — file counts, staleness, sync

If no keyword is given, ask:

What would you like to do with agent memory?

  1. Init — Set up .agent-memory/ for this project (first time)
  2. Migrate — Upgrade older memory structures to memory format v2.1
  3. Build — Scan project and generate initial memories
  4. Save — Capture current session learnings
  5. Sync — Pull in external changes + save this session (recommended end-of-session)
  6. Maintain — Compact, trim stale, fix index
  7. Status — Show memory health report

Operation: Init

Scaffold the .agent-memory/ system from scratch.

Memory format v2.1 — Entry Points

project/
├── AGENTS.md                 # Canonical shared instructions (all tools read it)
├── CLAUDE.md                 # Thin pointer → "read AGENTS.md" + Claude-specific notes
├── .cursor/rules/index.mdc   # Cursor native: "Always" rule → references AGENTS.md (only when Cursor is in use)
└── .agent-memory/            # Cross-interface persistent memory

Key: AGENTS.md is the single source of truth. CLAUDE.md is thin. Never put shared instructions inside .claude/ or .cursor/. Create only the per-agent pointer files for agents the project actually uses; .cursor/rules/index.mdc is Cursor-specific and should be skipped when Cursor is not in use.

Steps

  1. Create directories: user/, feedback/, project/, decisions/, context/, conventions/, references/, sessions/ under .agent-memory/.
  2. Create files: .agent-memory/README.md (system spec), .agent-memory/index.yaml (empty registry), AGENTS.md (canonical shared instructions), CLAUDE.md (thin pointer to AGENTS.md). Add per-agent pointer files only for agents the project uses — e.g. .cursor/rules/index.mdc (Cursor “Always” rule that points agents at AGENTS.md — same file Migrate creates from CURSOR.md) when a .cursor/ directory exists or Cursor is otherwise in use. Skip it for non-Cursor projects.
  3. Fill in TODOs in AGENTS.md with project's actual structure and rules.
  4. Update index.yaml and report what was created.

Operation: Migrate

Detect and migrate older structures to memory format v2.1.

Old Structure New Structure Action
CURSOR.md at root .cursor/rules/index.mdc Content moved, old file renamed .migrated
INDEX.yaml (uppercase) index.yaml (lowercase) Renamed
Flat {type}--{topic}.md {type}/{topic}.md Moved to directory
summary: frontmatter description: frontmatter Field renamed
CLAUDE.md with full instructions (no AGENTS.md) AGENTS.md + thin CLAUDE.md Promoted

Steps: Scan for each old structure listed above → perform the migration → update CLAUDE.md to thin pointer → reconcile index.yaml with filesystem → report what changed.


Operation: Build

Scan project and auto-generate initial memory files from existing docs.

  1. Scan for docs: *.md, package.json, pyproject.toml, Cargo.toml, CLAUDE.md, AGENTS.md, *.yaml configs, .env.example
  2. Distill each source: overview → project/overview.md, architecture → project/architecture.md, decisions → decisions/{topic}.md, conventions → conventions/{topic}.md, user identity → user/identity.md
  3. Rules: Summarize don't copy. One topic per file. Reference source docs. Use standard frontmatter.
  4. Migrate old formats if found (flat files, old frontmatter fields)
  5. Update index.yaml — add entries for each new file, reconcile with filesystem
  6. Report with summary table

Operation: Save

Capture learnings from the current conversation into memory.

  1. Review conversation for: decisions, feedback, conventions, status changes, important context
  2. For each piece: update existing memory file or create new one in appropriate {type}/ directory. Create session log in sessions/ for significant sessions.
  3. Source identifier: claude-app | claude-code | vscode | craft-agent | other
  4. Write files using standard frontmatter format (see references/templates.md)
  5. Update index.yaml and report what was saved/updated

Operation: Sync

Combined: ingest external changes then save session. Recommended end-of-session command for multi-editor workflows.

Phase 1 — Ingest: Scan for unindexed files in .agent-memory/ (add to index) → scan for orphan index entries (remove) → read updated files for awareness.

Phase 2 — Save: Run the full Save operation (review, update/create, session log, index).

Phase 3 — Report: Single combined report (see references/templates.md for format).


Operation: Maintain

Full maintenance: compact, trim stale, fix index, clean old session logs.

  1. Health check: Count files by type, check index sync, identify stale/expired entries.
  2. Staleness check — frontmatter-driven:
    • Primary signal: expires field. If expires < today → flag as expired, ask update/archive/remove.
    • Fallback (no expires): Use updated date (or created if never updated) + type-based thresholds: context/ >30 days, sessions/ >60 days.
    • Archived entries: status: archived with updated >90 days ago → suggest deletion.
    • supersedes chain: If file A has supersedes: B, and B still exists with status: active, flag B for archival.
  3. Compaction: Identify content overlap, suggest merges, promote session log patterns to conventions/ or decisions/.
  4. Session cleanup: type: session with updated >60 days → extract valuable info elsewhere if needed, list deletion candidates, and ask for confirmation before deleting.
  5. Report with health summary (see references/templates.md for format).

Operation: Status

Quick read-only health check. Count files by type, check index ↔ filesystem sync, report stale/expired entries. If .agent-memory/ doesn't exist, suggest init. If issues found, suggest maintain.


File Format Rules

  1. Distill, don't transcribe. Summaries and decisions, not conversation dumps.
  2. One idea per file. Split if a memory covers unrelated topics.
  3. Update in place. When facts change, edit the file. Don't append forever.
  4. Keep index in sync. Every file in index, every index entry points to a file.
  5. Use expires on context. Context goes stale. Set a review date.
  6. Reference, don't copy. Point to source docs instead of duplicating content.
  7. No secrets. No credentials, PII, or sensitive data in memory files.
  8. Absolute dates. Convert "next Thursday" to "2026-03-27" when saving.

For frontmatter schema, memory types, and templates, see references/templates.md.


Reference Files

File Contents
references/templates.md Session log template, sync/health report templates, frontmatter schema, memory types table
references/display-conventions.md How to render memory files inline (markdown, YAML, JSON, rich previews, guidelines)
references/troubleshooting.md Common issues by project type (solo, multi-agent, team, monorepo), troubleshooting Q&A

Assessment Checklist

Use these prompts to choose the operation, then proceed without collecting unnecessary information:

  1. Does .agent-memory/ already exist, and what structure/version does it use?
  2. Which operation fits the request: init, migrate, build, save, sync, maintain, or status?
  3. Which agent entry points exist already (AGENTS.md, CLAUDE.md, Cursor rules), and do they point to the shared source of truth?
  4. Which project docs can seed memory without copying them verbatim?
  5. Is the memory local/private, or intended to be shared through git?

Adjacent Patterns

Pattern When it is enough When agent-memory is the better fit
Single client instruction file (CLAUDE.md, Cursor rule, etc.) One tool and a small project Multiple tools need a shared, indexed memory base
Session handoff note One-time transfer between chats Durable decisions, conventions, and project context need lifecycle management
Memory MCP/server Searchable centralized service is already approved Plain files, git review, and zero runtime dependencies are preferred
Install via CLI
npx skills add https://github.com/t4sh/skills4sh --skill agent-memory
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