How Claude‑Mem Eliminates AI Assistant Forgetfulness and Cuts Token Costs

Development Pain Points

Conversation amnesia – restarting the AI assistant wipes all project context, forcing developers to re‑enter information.

Inefficient retrieval – past bug fixes, code snippets, and architectural decisions are hard to locate.

Uncontrolled privacy – sensitive data such as API keys may be stored without protection.

Token waste – irrelevant information consumes token quota, raising costs.

Project Overview

Claude‑Mem is an open‑source persistent‑memory plugin for Claude Code, Gemini CLI, OpenCode and OpenClaw gateways. It automatically captures tool‑call logs and context, compresses them into semantic memories, stores them in a local SQLite database, and restores them across sessions, solving the amnesia problem.

Core Features

Persistent memory – automatically loads previous session context after a restart.

Progressive disclosure – shows only the context needed for the current task and displays token consumption.

Skill‑based search – natural‑language queries with filters for bug‑fix, feature, date, project, etc.

Web viewer – access memory flow at http://localhost:37777 for visual browsing and configuration.

Claude desktop skill – search memory directly within Claude conversations.

Privacy control – wrap sensitive content with a special tag to exclude it from storage.

Context configuration – fine‑tune injected context, observation types, token limits, and more.

Automatic operation – background hooks capture, compress, store and recall context without user intervention.

Observation tracing – each record has a unique ID accessible via http://localhost:37777/api/observation/{id}.

Beta features – optional “endless mode” for ultra‑long sessions.

Architecture

Lifecycle hooks – five core hooks (SessionStart, UserPromptSubmit, PostToolUse, Stop, SessionEnd) capture tool calls and context.

Smart install script – pre‑hook automatically installs missing dependencies (Bun, uv, etc.).

Work service – HTTP API (default port 37777) that powers the web viewer and provides 10+ search endpoints.

SQLite database – bundled storage for session info, observations, and compressed semantic memories.

mem‑search skill – natural‑language search component that works with progressive disclosure.

Chroma vector store – hybrid semantic + keyword search for flexible matching.

Data flow: hooks capture context → AI compresses to semantic memory → stored in SQLite → work service offers retrieval APIs → accessed via web viewer or mem‑search skill.

MCP Search Tool

The Memory Control Protocol (MCP) implements a three‑stage workflow that maximizes token efficiency while preserving retrieval accuracy.

search : returns compact indexes (≈50‑100 tokens each) for observations matching the query.

timeline : builds a chronological view of selected observations, showing surrounding actions.

get_observations : fetches full details for the chosen IDs (≈500‑1000 tokens each).

Practical Usage Example

// Step 1: search for relevant memory (e.g., "authentication bug")
search(query="authentication bug", type="bugfix", limit=10)

// Step 2: examine the returned index and note observation IDs (e.g., #123, #456)

// Step 3: retrieve full details for those IDs
get_observations(ids=[123, 456])

Best‑Practice Tips

Context optimization – focus on the current task, use privacy tags, and split large projects into modules.

MCP usage – always follow the search → timeline → get_observations sequence to avoid unnecessary token consumption.

Configuration – adjust ~/.claude-mem/settings.json (e.g., set correct Node.js PATH, change service port if needed, set CLAUDE_MEM_MODE to code--zh for Chinese developers).

Version strategy – use the stable release for production; test‑only features (e.g., endless mode) should be tried in a sandbox first.

Regular maintenance – prune obsolete memories and always restart the AI tool after installing or reconfiguring the plugin.

Installation Methods

Default one‑liner (most users): npx claude-mem install Gemini CLI integration: npx claude-mem install --ide gemini-cli OpenCode integration: npx claude-mem install --ide opencode Claude Code marketplace: run /plugin marketplace add thedotmack/claude-mem then /plugin install claude-mem OpenClaw gateway:

curl -fsSL https://install.cmem.ai/openclaw.sh | bash

System Requirements

Node.js ≥ 18.0.0 (required for hooks and work service).

Claude Code – latest version that supports plugins.

Bun – JavaScript runtime; installed automatically if missing.

uv – Python package manager for vector search; installed automatically if missing.

SQLite 3 – bundled, no manual installation needed.

Common Issues & Notes

After installation, restart the AI tool (Claude Code, Gemini CLI, etc.) for the plugin to take effect.

Web viewer default port is 37777; change it in ~/.claude-mem/settings.json if there is a conflict. npm install -g claude-mem only installs the SDK, not the persistent‑memory functionality – use the npx commands or marketplace instead.

Beta features must be enabled via the web viewer settings and tested in a non‑production environment.

Any configuration change requires a restart of the AI tool.

https://github.com/thedotmack/claude-mem