Borrowing it
Nothing to install: this file belongs to tznthou/ccRecall. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tznthou/ccRecall/main/CLAUDE.mdgit clone --depth 1 https://github.com/tznthou/ccRecallWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/tznthou/ccrecall/claude-md)<a href="https://agentmods.dev/instructions/tznthou/ccrecall/claude-md"><img src="https://agentmods.dev/badge/instructions/tznthou/ccrecall/claude-md.svg" alt="Measured on agentmods" height="20"></a>What 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 5.1 | $0.00948 | $0.00948 |
| Opus 5 | $0.00474 | $0.00474 |
| Sonnet 5 | $0.00190 | $0.00190 |
| Haiku 4.5 | $0.00095 | $0.00095 |
Grade A, and why
ccRecall CLAUDE.md 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 5d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ccRecall — AI Memory Service for Claude Code
ccRewind 的姐妹作。ccRewind 做「考古」(事後看 session 發生了什麼),ccRecall 做「記憶」(讓 AI 在未來 session 中自動記住過去的經驗)。
定位
本地背景服務,讀取 Claude Code 對話歷史,讓 AI 在未來 session 中按需記憶——不全部載入,只注入最相關的片段(<300 tokens)。
核心模組從 ccRewind 抽取(parser, scanner, summarizer, database, indexer),新增記憶層、HTTP API、元認知索引。
指令
- dev:
pnpm dev - build:
pnpm build - test:
pnpm vitest run - lint:
pnpm eslint . --fix - start:
pnpm start
技術約束
- Runtime: Node.js + TypeScript
- DB: better-sqlite3 + FTS5(同步 API,零外部依賴)
- HTTP: 輕量 HTTP server(localhost only)
- 摘要引擎: 規則式(零 API 成本),不依賴 LLM
- 純唯讀應用——絕對不修改
~/.claude/下的任何檔案 - JSONL parser 採寬容模式:未知結構保留 raw JSON,不中斷解析
- 不用 Docker、不用 Electron、不用向量資料庫
架構
Claude Code hooks ──HTTP──→ ccRecall Service ──→ SQLite + FTS5
├── memories
├── knowledge_map
└── sessions/messages (from JSONL)
測試誠信
- 測試紅了先修程式,禁止為通過測試而改斷言
- 先寫測試、後寫實作
- 測試不碰生產資料:使用 mkdtemp 隔離,不操作真實
~/.claude/
接續
- 新 session 開始前,先讀取
.claude/RESUME.md
相關專案
- ccRewind:
/Users/tznthou/Documents/ccRwind/(考古 GUI,核心模組來源)
參考文件(需要時再讀)
- 架構設計:
.claude/pi-research/ccrewind-memory-service-architecture.md - AI 記憶全景:
.claude/pi-research/ai-memory-systems-landscape.md - 元認知設計:
.claude/pi-research/ai-long-term-memory-design.md - Obsidian 記憶研究:
.claude/pi-research/obsidian-ai-deep-memory.md - Hooks 注入可行性:
.claude/pi-research/hooks-context-injection-feasibility.md - LLM Wiki 範式分析:
.claude/pi-research/llm-wiki-karpathy-analysis.md
核心模組來源(從 ccRewind 抽取)
抽取順序:types → parser → scanner → summarizer → database(裁剪 UI query)→ indexer
| 模組 | ccRewind 來源 | LOC | 測試 | 狀態 |
|---|---|---|---|---|
| types | src/shared/types.ts |
— | — | ✓ 已抽取(src/core/types.ts) |
| parser | src/main/parser.ts |
240 | tests/parser.test.ts |
待抽取 |
| scanner | src/main/scanner.ts |
131 | tests/scanner.test.ts |
待抽取 |
| summarizer | src/main/summarizer.ts |
476 | tests/summarizer.test.ts |
待抽取 |
| database | src/main/database.ts |
1665 | tests/database.test.ts |
待抽取(需裁剪 UI query) |
| indexer | src/main/indexer.ts |
253 | tests/indexer.test.ts |
待抽取 |
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.
- 5d ago First seen · 75 lines · 948 tokens per session scan A 93b5c6aaad70
ccRecall CLAUDE.md is an instructions file published in the GitHub repository tznthou/ccRecall (1 stars, last pushed 13d ago), licensed Apache-2.0. It adds 948 tokens to every session, about $0.0047 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 2026-08-31.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.