claude-mem v13.31.0 发布：SessionStart 改为索引查询，启动不再等待全量历史与云同步

Official release notes (https://github.com/thedotmack/claude-mem/releases/tag/v13.31.0) ## Sessions start without waiting A new session no longer waits on SQLite reading a project's whole history, or on cloud sync. On a 1.2 GB database the claude-mem SessionStart hook took about 3 seconds (up to 44 s at worst). The queries behind it now read a few hundred pages instead of tens of thousands, the precomputed context file is used even with cloud sync on, and nothing at session start waits on the network. ### Performance - **Newest memories come straight from an index.** SessionStart used to fetch every observation and summary in the project, including worktrees merged into it, and sort them all to keep the newest 50. On the database we measured that was about 21,700 rows (63 MB) per session start, and 0.8–1.7 s whenever those pages were not in memory. New indexes keyed on project and date (schema v63) let it read the newest rows for each project key and stop. The results are identical, and the query takes about 4 ms. (#4427) - **Project-alias lookups no longer load rows.** Every context render resolves which stored project keys belong to the checkout. That lookup loaded each merged row just to read its project name: 7,499 pages for 31 keys. Covering indexes (schema v64) answer it from the index: 355 pages, 9 ms. (#4429) - **Local first with cloud sync on.** The worker builds SessionStart context from the local database straight away. The pull from the sync hub still runs, but in the background, so a slow or unreachable hub never delays a session. The precomputed SessionStart context file no longer waits for a Realtime connection: the local database is the source of truth, and every change sync applies refreshes the file. (#4427) - **Cowork plugin skips the cloud read when claude-mem is installed locally.** The `claude-mem-cowork` hook no longer fetches context from cmem.ai, at session start or for agent prompts, on a machine where the local claude-mem hook already injects it. Cowork's cloud containers still read from cmem.ai. (#4427) ### Features - **iFlytek Spark preset** for the OpenAI-compatible provider (Astron MaaS, default model `spark-x2.5`). (#4379) ### Fixes - **Cloud sync** no longer retries before the server's Retry-After minimum after jitter. (#4383) - **Full-text search:** an interrupted FTS capability probe, or one seen from another connection, no longer turns off full-text search. (#4385) - **Field compression** keeps the observation's context. (#4403) - **Streams:** an interrupted SSE response, or a rejected early-stop cancellation, no longer leaves its stream locked (#4382). SSE clients are removed when Bun closes their socket (#4394). - **Logs:** a log over 10 MiB with no newlines no longer makes the tail reader loop forever and block the worker. (#4393) - **Viewer:** a failed pagination request releases the loading state and shows the error. (#4387) - **Parser:** array entries that decode to whitespace are dropped instead of stored as blank facts. (#4397) - **Smart file outlines** keep multiline imports (#4409), assign methods to the right class (#4406), and include generator functions (#4419). Repository README (current repository documentation, not release changes)         🇨🇳 中文 • 🇹🇼 繁體中文 • 🇯🇵 日本語 • 🇵🇹 Português • 🇧🇷 Português • 🇰🇷 한국어 • 🇪🇸 Español • 🇩🇪 Deutsch • 🇫🇷 Français • 🇮🇱 עברית • 🇸🇦 العربية • 🇷🇺 Русский • 🇵🇱 Polski • 🇨🇿 Čeština • 🇳🇱 Nederlands • 🇹🇷 Türkçe • 🇺🇦 Українська • 🇻🇳 Tiếng Việt • 🇵🇭 Tagalog • 🇮🇩 Indonesia • 🇹🇭 ไทย • 🇮🇳 हिन्दी • 🇧🇩 বাংলা • 🇵🇰 اردو • 🇷🇴 Română • 🇸🇪 Svenska • 🇮🇹 Italiano • 🇬🇷 Ελληνικά • 🇭🇺 Magyar • 🇫🇮 Suomi • 🇩🇰 Dansk • 🇳🇴 Norsk Persistent memory compression system built for Claude Code. Quick Start • How It Works • Search Tools • Documentation • Configuration • Troubleshooting • License Claude-Mem seamlessly preserves context across sessions by automatically capturing tool usage observations, generating semantic summaries, and making them available to future sessions. This enables Claude to maintain continuity of knowledge about projects even after sessions end or reconnect. --- ## Quick Start Install claude-mem for Grok Bot: ```bash npx claude-mem install --ide grok-bot ``` Grok Bot has no host hooks, so we watch the chat log files. Default is CMEM Pro, the hosted memory. Local observer is opt-in: `--provider host`. Installing this plugin does not install Cursor. **Awareness push pilot (LFG + Orifice):** needle observations (`decision`, `bugfix`, `security_alert`, `sensitive`) are appended as dated `- YYYY-MM-DD [awareness] …` lines into that bot's `memory/log/YYYY-MM.md`. Grok Bot already re-reads the log from disk. This does not write `profile.md`, user-memory, or project memory. Disable with `CLAUDE_MEM_GROK_BOT_AWARENESS_ENABLED=false`. Install with a single command: ```bash npx claude-mem install ``` The installer sets everything up first, then asks you to sign in to claude-mem in your browser (email magic link — no card required). Signing in provisions a memory key for your account and unlocks the **claude-mem observer**: memory that runs off-plan, free for up to 14 days, so you get up to 100% more usage from your plan. When the free trial ends, memory automatically falls back to your Anthropic plan unless you subscribe. After sign-in you pick your memory provider — the claude-mem observer, your own OpenRouter or Gemini key, or your Anthropic plan. Prefer to skip the sign-in? Pass an explicit `--provider` flag, set `CLAUDE_MEM_ONLINE_OPTIN=false`, or run in CI/non-interactive shells — the installer completes without any account interaction. Or install for OpenCode: ```bash npx claude-mem install --ide opencode ``` Or install for Antigravity CLI ([setup guide](https://docs.claude-mem.ai/antigravity-cli/setup)): ```bash npx claude-mem install --ide antigravity ``` Or install for OMP (Oh My Pi): ```bash npx claude-mem install --ide omp ``` Or install from the plugin marketplace inside Claude Code: ```bash /plugin marketplace add thedotmack/claude-mem /plugin install claude-mem ``` Restart Claude Code. Context from previous sessions will automatically appear in new sessions. > **Note:** Claude-Mem is also published on npm, but `npm install -g claude-mem` installs the **SDK/library only** — it does not register the plugin hooks or set up the worker service. Always install via `npx claude-mem install` or the `/plugin` commands above. ### 🦞 OpenClaw Gateway Install claude-mem as a persistent memory plugin on [OpenClaw](https://openclaw.ai) gateways with a single command: ```bash curl -fsSL https://install.cmem.ai/openclaw.sh | bash ``` The installer handles dependencies, plugin setup, AI provider configuration, worker startup, and optional real-time observation feeds to Telegram, Discord, Slack, and more. See the [OpenClaw Integration Guide](https://docs.claude-mem.ai/openclaw-integration) for details. **Key Features:** - 🧠 **Persistent Memory** - Context survives across sessions - 📊 **Progressive Disclosure** - Layered memory retrieval with token cost visibility - 🔍 **Skill-Based Search** - Query your project history with mem-search skill - 🖥️ **Web Viewer UI** - Real-time memory stream at the worker URL printed on startup - 💻 **Claude Desktop Skill** - Search memory from Claude Desktop conversations - 🔒 **Privacy Control** - Use `` tags to exclude sensitive content from storage - ⚙️ **Context Configuration** - Fine-grained control over what context gets injected - 🤖 **Automatic Operation** - No manual intervention required - 🔗 **Citations** - Reference past observations with IDs through the worker API or view all in the web viewer --- ## Documentation 📚 **[View Full Documentation](https://docs.claude-mem.ai/)** - Browse on official website ### Getting Started - **[Installation Guide](https://docs.claude-mem.ai/installation)** - Quick start & advanced installation - **[Usage Guide](https://docs.claude-mem.ai/usage/getting-started)** - How Claude-Mem works automatically - **[Search Tools](https://docs.claude-mem.ai/usage/search-tools)** - Query your project history with natural language - **[Cloud Sync](https://docs.claude-mem.ai/cloud-sync)** - Back up your memories to cmem.ai — no daemon, the worker syncs on write ### Best Practices - **[Context Engineering](https://docs.claude-mem.ai/context-engineering)** - AI agent context optimization principles - **[Progressive Disclosure](https://docs.claude-mem.ai/progressive-disclosure)** - Philosophy behind Claude-Mem's context priming strategy ### Architecture - **[Overview](https://docs.claude-mem.ai/architecture/overview)** - System components & data flow - **[Architecture Evolution](https://docs.claude-mem.ai/architecture-evolution)** - The journey from v3 to v5 - **[Hooks Architecture](https://docs.claude-mem.ai/hooks-architecture)** - How Claude-Mem uses lifecycle hooks - **[Hooks Reference](https://docs.claude-mem.ai/architecture/hooks)** - 7 hook scripts explained - **[Worker Service](https://docs.claude-mem.ai/architecture/worker-service)** - HTTP API & Bun management - **[Database](https://docs.claude-mem.ai/architecture/database)** - SQLite schema & FTS5 search - **[Search Architecture](https://docs.claude-mem.ai/architecture/search-architecture)** - Hybrid search with Chroma vector database ### Configuration & Development - **[Configuration](https://docs.claude-mem.ai/configuration)** - Environment variables & settings - **[Development](https://docs.claude-mem.ai/development)** - Building, testing, contributing - **[Release Branches](https://docs.claude-mem.ai/branches)** - Stable, core-dev, and community-edge branch flow - **[Troubleshooting](https://docs.claude-mem.ai/troubleshooting)** - Common issues & solutions --- ## How It Works **Core Components:** 1. **5 Lifecycle Hooks** - SessionStart, UserPromptSubmit, PostToolUse, Stop, SessionEnd (6 hook scripts) 2. **Smart Install** - Cached dependency checker (pre-hook script, not a lifecycle hook) 3. **Worker Service** - Local HTTP API with web viewer UI and search endpoints, managed by Bun 4. **SQLite Database** - Stores sessions, observations, summaries 5. **mem-search Skill** - Natural language queries with progressive disclosure 6. **Chroma Vector Database** - Hybrid semantic + keyword search for intelligent context retrieval See [Architecture Overview](https://docs.claude-mem.ai/architecture/overview) for details. --- ## MCP Search Tools Claude-Mem provides intelligent memory search through **4 MCP tools** following a token-efficient **3-layer workflow pattern**: **The 3-Layer Workflow:** 1. **`search`** - Get compact index with IDs (~50-100 tokens/result) 2. **`timeline`** - Get chronological context around interesting results 3. **`get_observations`** - Fetch full details ONLY for filtered IDs (~500-1,000 tokens/result) **How It Works:** - Claude uses MCP tools to search your memory - Start with `search` to get an index of results - Use `timeline` to see what was happening around specific observations - Use `get_observations` to fetch full details for relevant IDs - **~10x token savings** by filtering before fetching details **Available MCP Tools:** 1. **`search`** - Search memory index with full-text queries, filters by type/date/project 2. **`timeline`** - Get chronological context around a specific observation or query 3. **`get_observations`** - Fetch full observation details by IDs (always batch multiple IDs) **Example Usage:** ```typescript // Step 1: Search for index search(query="authentication bug", type="bugfix", limit=10) // Step 2: Review index, identify relevant IDs (e.g., #123, #456) // Step 3: Fetch full details get_observations(ids=[123, 456]) ``` See [Search Tools Guide](https://docs.claude-mem.ai/usage/search-tools) for detailed examples. --- ## Release Branches Stable releases ship from `main` and are published to npm. `core-dev` and `community-edge` are source-run branches for early reliability fixes and community integrations. See **[Release Branches](https://docs.claude-mem.ai/branches)** for the branch flow and non-stable run instructions. --- ## System Requirements - **Node.js**: 20.0.0 or higher - **Claude Code**: Latest version with plugin support - **Bun**: JavaScript runtime and process manager (auto-installed if missing) - **uv**: Python package manager for vector search (auto-installed if missing) - **SQLite 3**: For persistent storage (bundled) --- ### Windows Setup Notes If you see an error like: ```powershell npm : The term 'npm' is not recognized as the name of a cmdlet ``` Make sure Node.js and npm are installed and added to your PATH. Download the latest Node.js installer from https://nodejs.org and restart your terminal after installation. --- ## Configuration Settings are managed in `~/.claude-mem/settings.json` (auto-created with defaults on first run). Configure AI model, worker port, data directory, log level, and context injection settings. To include observations from every harness in Claude Code and Codex SessionStart context, set `"CLAUDE_MEM_SESSION_START_INCLUDE_ALL_SOURCES": "true"` in that file, or enable **Include all sources at session start** in the viewer settings. The default is `"false"`, which limits startup context to the current harness. The observation count limit still applies across the selected sources. See the **[Configuration Guide](https://docs.claude-mem.ai/configuration)** for all available settings and examples. ### Mode & Language Configuration Claude-Mem supports multiple workflow modes and languages via the `CLAUDE_MEM_MODE` setting. This option controls both: - The workflow behavior (e.g. code, chill, investigation) - The language used in generated observations #### How to Configure Edit your settings file at `~/.claude-mem/settings.json`: ```json { "CLAUDE_MEM_MODE": "code--zh" } ``` Modes are defined in `plugin/modes/`. To see all available modes locally: ```bash ls ~/.claude/plugins/marketplaces/thedotmack/plugin/modes/ ``` #### Available Modes | Mode | Description | |------------|-------------------------| | `code` | Default English mode | | `code--zh` | Simplified Chinese mode | | `code--ja` | Japanese mode | Language-specific modes follow the pattern `code--[lang]` where `[lang]` is the ISO 639-1 language code (e.g., `zh` for Chinese, `ja` for Japanese, `es` for Spanish). > Note: `code--zh` (Simplified Chinese) is already built-in — no additional installation or plugin update is required. #### After Changing Mode Restart Claude Code to apply the new mode configuration. --- ## Development See the **[Development Guide](https://docs.claude-mem.ai/development)** for build instructions, testing, and contribution workflow. --- ## Troubleshooting If experiencing issues, describe the problem to Claude and the troubleshoot skill will automatically diagnose and provide fixes. See the **[Troubleshooting Guide](https://docs.claude-mem.ai/troubleshooting)** for common issues and solutions. --- ## Bug Reports Create comprehensive bug reports with the automated generator: ```bash cd ~/.claude/plugins/marketplaces/thedotmack npm run bug-report ``` ## Contributing Contributions are welcome! Please: 1. Fork the repository 2. Create a feature branch 3. Make your changes with tests 4. Update documentation 5. Submit a Pull Request Claude-Mem ships from three branches: `main` (stable), `core-dev`, and `community-edge`. Only `main` is published to npm; the others are run from source. See [Release Branches](https://docs.claude-mem.ai/branches) for the strategy and local run instructions. See [Development Guide](https://docs.claude-mem.ai/development) for contribution workflow. --- ## License Claude-Mem is licensed under the Apache License 2.0. We chose Apache-2.0 because durable agentic memory should be easy to embed in developer tools, local agents, MCP servers, enterprise systems, robotics stacks, and production agent harnesses. See the [LICENSE](LICENSE) file for full details. See [docs/license.md](docs/license.md) and [docs/ip-boundary.md](docs/ip-boundary.md) for licensing scope and the open/commercial boundary. **Note on Ragtime**: The `ragtime/` directory is licensed under the **Apache License 2.0**. See [ragtime/LICENSE](ragtime/LICENSE) for details. --- ## Support - **Documentation**: [docs/](docs/) - **Issues**: [GitHub Issues](https://github.com/thedotmack/claude-mem/issues) - **Repository**: [github.com/thedotmack/claude-mem](https://github.com/thedotmack/claude-mem) - **Official X Account**: [@Claude_Memory](https://x.com/Claude_Memory) - **Official Discord**: [Join Discord](https://discord.com/invite/J4wttp9vDu) - **Author**: Alex Newman ([@thedotmack](https://github.com/thedotmack)) --- **Built with Claude Agent SDK** | **Works with Claude Code** | **Made with TypeScript** --- ### What About CMEM? CMEM is a token created by a 3rd party but officially embraced by the creator of Claude-Mem (Alex Newman, @thedotmack). The token acts as a community catalyst for growth and a vehicle for bringing CMEM to the developers and knowledge workers that need it most. Official BASE CA: 0x76b1967eec0ccaeb001bbbb2b40dc4badba31ba3