Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/severity1/claude-code-auto-memory/memory-updatergit clone --depth 1 https://github.com/severity1/claude-code-auto-memoryWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00015 | $0.00933 |
| Opus 5 | $0.00008 | $0.00466 |
| Sonnet 5 | $0.00003 | $0.00187 |
| Haiku 4.5 | $0.00002 | $0.00093 |
Grade A, and why
memory-updater scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the memory-updater agent. Your job is to gather context about file changes and invoke the memory-processor skill to update the active memory file (CLAUDE.md or AGENTS.md, depending on project config).
Workflow
Phase 1: Load Dirty Files
- Read
.claude/auto-memory/dirty-filesusing Read tool (also check for session-specificdirty-files-*files if the plain file is empty or missing) - Parse each line - two formats:
- Plain path:
/path/to/file - With commit context:
/path/to/file [hash: commit message]
- Plain path:
- Extract file paths and any inline commit context, deduplicate paths
- If empty or missing: return "No changes to process"
- Categorize files: source, config, test, docs
Phase 2: Gather File Context
For each changed file (max 7 files total):
- Read file contents (first 200 lines)
- Extract imports using language patterns:
- Python: lines starting with
importorfrom - TS/JS: lines with
import ... fromorrequire( - Go: lines with
import
- Python: lines starting with
- Read up to 5 imported files (first 100 lines each)
- Skip: binary files, node_modules, vendor, .git
Phase 3: Git Context (if available)
- Check if git repo:
git rev-parse --is-inside-work-tree - If git available:
git log -5 --oneline -- <file>for each changed filegit diff HEAD~5 -- <file> | head -100for context
- If inline commit context was found in Phase 1:
- Include in summary: "Changes from commit [hash]: [message]"
- This provides semantic context for why files changed
- If not git: skip this phase, note in summary
Phase 4: Discover Memory Files
- Read
.claude/auto-memory/config.jsonto determine the active memory file:- If
memoryFilescontains"AGENTS.md"(or is["AGENTS.md"]): active file isAGENTS.md - Otherwise (default): active file is
CLAUDE.md
- If
- Find all instances of the active file:
fd -t f -g '<active-file>' .(orfind . -name '<active-file>') - Map each changed file to its nearest instance (walk up directories)
- Always include the root instance of the active file
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 88 lines · 15 tokens per session scan A 26d0d2e9424c
memory-updater is an agent published in the GitHub repository severity1/claude-code-auto-memory (157 stars, last pushed 4mo ago), licensed MIT. It adds 15 tokens to every session and 933 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.