Vector Retrieval and RAG · Public

claude-mem

Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.

Vector databaseRAGEmbeddingsSemantic searchData boundaries

Best fitDevelopers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.

Check whether this project matches your task before installing it.

What it can doVector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot83k stars

7.2k forks · 121 contributors

Doramagic.ai Last verification date: 2026-07-09 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-07-09

What is claude-mem?

claude-mem is a vector database, retrieval, or RAG storage component for AI applications.
Best fit: Developers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.
Not for: Not for one-off model API calls or environments that cannot isolate indexed data, credentials, and persistence paths.
Capability added to an AI workflow: Vector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance
First safe verification step: Verify create, query, delete, and rollback with a small public text sample before using real data.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/thedotmack/claude-mem, https://github.com/thedotmack/claude-mem#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.

Match the project to your task before installing it.

CapabilityVector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance

Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.

Repositorythedotmack/claude-mem

83k stars · 7.2k forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Overview & System Architecture

Related topics: Search Tools, MCP & Data Pipeline, Multi-IDE Adapters & Provider Extensibility, Server-Beta Runtime, Telemetry & Operations

Source: https://github.com/thedotmack/claude-mem / Human Manual

Search Tools, MCP & Data Pipeline

Related topics: Overview & System Architecture, Multi-IDE Adapters & Provider Extensibility, Server-Beta Runtime, Telemetry & Operations

Source: https://github.com/thedotmack/claude-mem / Human Manual

Multi-IDE Adapters & Provider Extensibility

Related topics: Overview & System Architecture, Search Tools, MCP & Data Pipeline, Server-Beta Runtime, Telemetry & Operations

Source: https://github.com/thedotmack/claude-mem / Human Manual

Server-Beta Runtime, Telemetry & Operations

Related topics: Overview & System Architecture, Search Tools, MCP & Data Pipeline, Multi-IDE Adapters & Provider Extensibility

Source: https://github.com/thedotmack/claude-mem / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/thedotmack/claude-mem, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars83k stars

Forks7.2k forks

Contributors121 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using claude-mem with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Bug: ENV_PROXY_VARS stripped instead of preserved in sanitizeEnv()
github / github_issue
02
chroma-mcp MCP-stdio child processes leak (one spawned per backfill, nev
github / github_issue
03
Observation generation stuck in a self-sustaining poison→respawn loop: b
github / github_issue
04
Windows: failed worker recycle on version bump leaves a zombie process h
github / github_issue
05
Configurable embedding function (custom / OpenAI-compatible endpoint)
github / github_issue
06
Addressing session-level context drift and vector bloat via local reposi
github / github_issue
07
tracking: Codex 0.140.0 rejects codex-hooks.json due to unsupported root
github / github_issue
08
Windows: stale port holder + aggressive spawn cooldown blocks prompts fo
github / github_issue
09
Feature request: support disabling reasoning for OpenRouter / OpenAI-com
github / github_issue
10
server-beta: SessionStart context injection is not runtime-aware (inject
github / github_issue
11
server-beta viewer UI broken: missing /api/logs, /stream, /api/observati
github / github_issue
12
`observation_add` / `memory_add` fail with 400 in server-beta mode
github / github_issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

npx claude-mem

Official start command · https://github.com/thedotmack/claude-mem#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

claude-mem Manual

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

Open the full manual

https://github.com/thedotmack/claude-mem Project Manual
Table of Contents
Overview & System Architecture
Related Pages
Purpose and Scope
High-Level Architecture
Core Subsystems
Hook Layer

Overview & System Architecture

Related topics: Search Tools, MCP & Data Pipeline, Multi-IDE Adapters & Provider Extensibility, Server-Beta Runtime, Telemetry & Operations

Source: https://github.com/thedotmack/claude-mem / Human Manual

Search Tools, MCP & Data Pipeline

Related topics: Overview & System Architecture, Multi-IDE Adapters & Provider Extensibility, Server-Beta Runtime, Telemetry & Operations

Source: https://github.com/thedotmack/claude-mem / Human Manual

Multi-IDE Adapters & Provider Extensibility

Related topics: Overview & System Architecture, Search Tools, MCP & Data Pipeline, Server-Beta Runtime, Telemetry & Operations

Source: https://github.com/thedotmack/claude-mem / Human Manual

Server-Beta Runtime, Telemetry & Operations

Related topics: Overview & System Architecture, Search Tools, MCP & Data Pipeline, Multi-IDE Adapters & Provider Extensibility

Source: https://github.com/thedotmack/claude-mem / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

high

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Configuration risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Installation risk requires verification

Developers may fail before the first successful local run: OpenCode plugin loads but automatic capture does not initialize (outdated OpenCode hook: chat.message)

medium

Installation risk requires verification

Developers may fail before the first successful local run: Windows: stale port holder + aggressive spawn cooldown blocks prompts for ~15 min (fail-loud threshold 3 too low)