Vector Retrieval and RAG · Public

ruflo

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 snapshot60k stars

7.0k forks · 35 contributors

Doramagic.ai Last verification date: 2026-06-23 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-06-23

What is ruflo?

ruflo 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: Developers may expose sensitive permissions or credentials: ADR-153 — Integrate @metaharness/darwin (Darwin Mode) into ruflo
Evidence base: https://github.com/ruvnet/ruflo, https://github.com/ruvnet/ruflo#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.

Repositoryruvnet/ruflo

60k stars · 7.0k forks

What it can do

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

Ruflo Overview and Core Architecture

Related topics: Memory, Learning, and Intelligence Subsystem, Multi-Agent Coordination, Federation, and Security, Plugin Ecosystem and Operational Concerns

Source: https://github.com/ruvnet/ruflo / Human Manual

Memory, Learning, and Intelligence Subsystem

Related topics: Ruflo Overview and Core Architecture, Multi-Agent Coordination, Federation, and Security

Source: https://github.com/ruvnet/ruflo / Human Manual

Multi-Agent Coordination, Federation, and Security

Related topics: Ruflo Overview and Core Architecture, Memory, Learning, and Intelligence Subsystem, Plugin Ecosystem and Operational Concerns

Source: https://github.com/ruvnet/ruflo / Human Manual

Plugin Ecosystem and Operational Concerns

Related topics: Ruflo Overview and Core Architecture, Multi-Agent Coordination, Federation, and Security

Source: https://github.com/ruvnet/ruflo / 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/ruvnet/ruflo, 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.

Stars60k stars

Forks7.0k forks

Contributors35 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

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

01
[Dream Cycle 2026-06-23] memory: semantic drift from repeated summarizat
github / github_issue
02
[verification] HIGH: v3-ci.yml on main is FAILURE — supply-chain audit j
github / github_issue
03
[verification] MEDIUM: witness verify blocked — @noble/ed25519 not insta
github / github_issue
04
statusLine: hooks statusline loads ONNX model on every call (~1s), cause
github / github_issue
05
Default statusline/hooks use `npx @claude-flow/cli@latest` on high-frequ
github / github_issue
06
Unbounded native memory leak: orphaned sql.js MEMFS `dbfile_*` files (~1
github / github_issue
07
Regression (ADR-130): graph-edge-writer.js sql.js writer corrupts memory
github / github_issue
08
[verification] MEDIUM: doctor reports MetaHarness ADR-150 integration fa
github / github_issue
09
MCP stdio tools/list response exceeds macOS 64KB pipe buffer, causing to
github / github_issue
10
[verification] HIGH: @claude-flow/cli@alpha --version hangs >60s on cold
github / github_issue
11
[verification] HIGH: witness manifests report missing=95 drift=2 on all
github / github_issue
12
Security or permission risk requires verification
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 ruflo

Official start command · https://github.com/ruvnet/ruflo#readme · verified: yes

Human Manual

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

8+ sections · Human Manual

ruflo Manual

🌊 The leading agent meta-harness for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration

Open the full manual

https://github.com/ruvnet/ruflo Project Manual
Table of Contents
Ruflo Overview and Core Architecture
Related Pages
Purpose and Scope
Layered Architecture
Core Plugin Contract
Plugin Ecosystem

Ruflo Overview and Core Architecture

Related topics: Memory, Learning, and Intelligence Subsystem, Multi-Agent Coordination, Federation, and Security, Plugin Ecosystem and Operational Concerns

Source: https://github.com/ruvnet/ruflo / Human Manual

Memory, Learning, and Intelligence Subsystem

Related topics: Ruflo Overview and Core Architecture, Multi-Agent Coordination, Federation, and Security

Source: https://github.com/ruvnet/ruflo / Human Manual

Multi-Agent Coordination, Federation, and Security

Related topics: Ruflo Overview and Core Architecture, Memory, Learning, and Intelligence Subsystem, Plugin Ecosystem and Operational Concerns

Source: https://github.com/ruvnet/ruflo / Human Manual

Plugin Ecosystem and Operational Concerns

Related topics: Ruflo Overview and Core Architecture, Multi-Agent Coordination, Federation, and Security

Source: https://github.com/ruvnet/ruflo / 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

Security or permission risk requires verification

Developers may expose sensitive permissions or credentials: ADR-153 — Integrate @metaharness/darwin (Darwin Mode) into ruflo

high

Security or permission risk requires verification

Developers may expose sensitive permissions or credentials: security cve subcommand is a stub — never returns CVE data (scan already does, via npm audit)

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.

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: [verification] HIGH: @claude-flow/cli@alpha --version hangs >60s on cold install (ONNX model download on every startup)

medium

Installation risk requires verification

Developers may fail before the first successful local run: [verification] HIGH: Witness manifests report 95–99 missing build artifacts (dist/ absent)