CC Agent Brain
A local-first memory engine for coding agents. It captures what you and the
agent actually do, distills it into versioned long-term memory, and recalls it
automatically — fully offline, with zero third-party dependencies, and
exposed to any tool through MCP. Installs as a namespaced add-on and never
replaces your existing .claude/ directory.
English
What is CC Agent Brain
CC Agent Brain turns a stateless coding agent into one that remembers you across sessions and across tools — all locally, no cloud, no API key.
user prompts / assistant replies / tool actions
↓ automatic hooks
append-only event stream (SQLite + FTS5) + readable Wiki (Markdown)
↓ distill
versioned long-term memory (layered, bi-temporal, auditable)
↓ BM25 + RRF retrieval, project DB first / global DB fallback
automatic recall in future sessions
↓ MCP server
the same memory in Claude Code, Cursor, Codex, Gemini CLI, Claude Desktop…
Why it exists (2026 memory landscape)
Agent memory is becoming standard infrastructure, but existing choices force a trade-off: cloud memory APIs send your data away; heavy self-hosted stacks need vector/graph databases; plain Markdown memory does not actually search or version itself. CC Agent Brain occupies the middle:
- Zero-dependency engine — Python stdlib
sqlite3+ FTS5 (BM25), including CJK bigram tokenization, so Chinese and English retrieval both work offline. - Real capture loop — user prompts and assistant replies / tool calls are indexed (Stop hook reads the transcript; idempotent).
- Versioned, trustworthy memory — facts are superseded/expired, never silently overwritten; a timeline shows what changed and when.
- MCP-native, tool-agnostic — one memory store for every MCP client.
- Human-readable projection — Markdown Wiki and generated indexes keep you in control; the DB is a single portable file.
- Private by construction — common secret shapes are redacted at capture time; personal data is git-ignored.
Quick install
git clone https://github.com/syiibfs-hash/cc-agent-brain.git
cd cc-agent-brain
python installer/install.py --target /path/to/your/project
# preview first:
python installer/install.py --target /path/to/your/project --dry-run
Or paste the install prompt from prompts/install-from-github.md into Claude Code.
What gets installed
my-project/
├── .claude/
│ ├── settings.json ← merged, not replaced (+ backup)
│ ├── skills/cc-agent-brain-*/ ← 6 skills
│ ├── agents/cc-agent-brain-*.md ← 3 agents
│ └── hooks/cc-agent-brain/ ← 6 hooks + engine + _utils
│ ├── brain_store.py ← SQLite/FTS5 engine + MCP server
│ ├── transcript_capture.py ← indexes assistant/tool actions
│ └── …
├── .cc-agent-brain/brain.db ← local engine DB (git-ignored)
├── memory/ compressed long-term memory + generated index
├── wiki/ detailed human-readable context
├── private/ local sensitive notes
└── templates/ writing templates
The engine CLI
BRAIN="python .claude/hooks/cc-agent-brain/brain_store.py"
$BRAIN init
$BRAIN search "deployment decision" --human
$BRAIN memory add --title "..." --body "..." --layer semantic --confidence high
$BRAIN memory add ... --supersedes <old-id> # replace, keep history
$BRAIN audit / timeline / stats / candidates
$BRAIN sync-md # regenerate memory projection
$BRAIN serve-mcp # MCP server over stdio
Full reference: docs/memory-engine.md, MCP setup:
docs/mcp.md.
Components
6 Hooks
6 Skills — onboarding, wiki update/search, memory distill/audit, material distill. 3 Agents — memory curator, wiki compiler, material distiller.
Memory model
Four layers — working (current task), episodic (timestamped events),
semantic (distilled facts/preferences), procedural (reusable workflows).
Each memory has status (active/superseded/expired/archived), validity window,
confidence, source and supersede chain. See docs/memory-design.md.
Uninstall
python installer/uninstall.py --target /path/to/your/project
Only framework files tracked by the manifest are removed. Your memory/,
wiki/, private/ and brain.db are preserved.
Roadmap
Privacy
Open-source framework, no personal data inside. Everything runs on your machine;
there is no telemetry and no network call. memory/, wiki/, private/ and
*.db are git-ignored. See docs/product-analysis.md
for the product rationale.
License
MIT
中文
CC Agent Brain 是什么
给编码 Agent 用的本地记忆引擎:自动捕获你和 Agent 的真实工作过程,蒸馏成带版本的长期记忆,并在后续会话自动召回——全程离线、零第三方依赖,并通过 MCP 把同一份记忆提供给任意工具。以命名空间插件方式安装,绝不覆盖你已有的 .claude/。
用户提示 / 助手回复 / 工具动作
↓ 钩子自动捕获
只增事件流(SQLite + FTS5) + 可读 Wiki(Markdown)
↓ 蒸馏
带版本的长期记忆(分层、双时间、可审计)
↓ BM25 + RRF 检索,项目库优先 / 全局库兜底
后续会话自动召回
↓ MCP 服务
同一套记忆服务 Claude Code、Cursor、Codex、Gemini CLI、Claude Desktop…
为什么做它(2026 记忆赛道现状)
Agent 记忆正在成为基础设施,但现有方案都要你做取舍:云记忆 API 要上传数据;重型自建方案要装向量/图数据库;纯 Markdown 记忆既不能真正检索也没有版本。CC Agent Brain 取中间路线:
- 零依赖引擎:仅用 Python 标准库 sqlite3 + FTS5(BM25),内置中文 bigram 分词,中英文检索全部离线可用。
- 完整捕获闭环:不只存用户提问,Stop 钩子读取会话记录,把助手回复与工具调用一并索引(幂等)。
- 可信的版本化记忆:事实变更走"取代/失效"而非静默覆盖,时间线可查"何时因为什么改了结论"。
- MCP 原生、不绑工具:一套记忆,所有 MCP 客户端复用。
- 人类可读投影:Markdown Wiki 与生成式索引让你始终掌控;数据库只是一个可拷贝的文件。
- 隐私内建:常见密钥形态在捕获时即脱敏,个人数据默认 git 忽略。
快速安装
git clone https://github.com/syiibfs-hash/cc-agent-brain.git
cd cc-agent-brain
python installer/install.py --target /path/to/your/project
# 先预览:
python installer/install.py --target /path/to/your/project --dry-run
也可以把 prompts/install-from-github.md 中的安装提示词粘贴给 Claude Code。
安装内容
my-project/
├── .claude/
│ ├── settings.json ← 增量合并(自动备份)
│ ├── skills/cc-agent-brain-*/ ← 6 个技能
│ ├── agents/cc-agent-brain-*.md ← 3 个代理
│ └── hooks/cc-agent-brain/ ← 6 个钩子 + 引擎 + 工具库
│ ├── brain_store.py ← SQLite/FTS5 引擎 + MCP 服务
│ ├── transcript_capture.py ← 索引助手回复/工具动作
│ └── …
├── .cc-agent-brain/brain.db ← 本地引擎库(git 忽略)
├── memory/ 压缩长期记忆 + 生成式索引
├── wiki/ 详细的人类可读上下文
├── private/ 本地敏感笔记
└── templates/ 写作模板
引擎命令行
BRAIN="python .claude/hooks/cc-agent-brain/brain_store.py"
$BRAIN init
$BRAIN search "部署方案的决策" --human
$BRAIN memory add --title "..." --body "..." --layer semantic --confidence high
$BRAIN memory add ... --supersedes <旧id> # 取代并保留历史
$BRAIN audit / timeline / stats / candidates
$BRAIN sync-md # 重新生成记忆投影
$BRAIN serve-mcp # 以 stdio 启动 MCP 服务
完整说明见 docs/memory-engine.md,MCP 接入见 docs/mcp.md。
组件
6 个 Hooks
6 个 Skills:初始化、Wiki 更新/检索、记忆蒸馏/审计、素材蒸馏。 3 个 Agents:记忆策展人、Wiki 编纂者、素材提炼者。
记忆模型
四层——working(当前任务)、episodic(带时间戳的事件)、semantic(蒸馏事实与偏好)、procedural(可复用流程)。每条记忆带状态(active/superseded/expired/archived)、有效期、置信度、来源与取代链。详见 docs/memory-design.md。
卸载
python installer/uninstall.py --target /path/to/your/project
只删除清单中记录的框架文件;memory/、wiki/、private/ 与 brain.db 全部保留。
路线图
隐私
开源框架,仓库内不含任何个人数据。所有计算在本机完成,无遥测、无网络请求。memory/、wiki/、private/ 与 *.db 均被 git 忽略。产品层面的完整分析见 docs/product-analysis.md。
协议
MIT