ruvnet/ruflo
🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated observed · 2026-08-28
Health v2 · maintenance only
81/100
- Activity 99
- Release rhythm 87
- Longevity 32
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0.0
- age_days: 457
- days_rel: 9
- days_push: 7
- n_releases_24m: 171
Adoption not part of the score
69486 stars · 8306 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Ruflo is an open-source agent meta-harness for deploying multi-agent swarms and coordinating autonomous AI workflows, with adaptive memory, self-learning, and RAG integration. It integrates natively with Claude Code, Codex, Hermes, and other coding agents via MCP and plugin systems.
Use cases
- orchestrate multiple AI agents on a task
- build a multi-agent swarm for coding workflows
- add RAG memory to my AI agents
- connect Claude Code to an MCP server
- automate autonomous agent workflows
- build a conversational AI assistant with agent coordination
When to choose
- you want to coordinate many LLM agents as a swarm
- you use Claude Code, Codex, or Hermes and want agent orchestration
- you need adaptive memory and RAG built into an agent framework
- you want an npm/TypeScript-based agentic harness
When to avoid
- you need a simple single-agent chatbot with no orchestration
- you require a Python-first agent stack
- you want a fully managed commercial platform rather than a self-run harness
- your project is unrelated to LLM agents
Facets
framework · maturity active
agent-framework rag mcp chatbot workflow-automation cli large-language-models developer-tools cli cross-platform multi-agent swarm-intelligence claude-code codex agentic-workflow mcp-server self-learning adaptive-memory ai-agents retrieval-augmented-generation automation nodejs typescript
2 sources
- readme: https://github.com/ruvnet/ruflo · fetched 2026-08-28 · 6a7f08bef92c
- homepage: https://Cognitum.One · fetched 2026-08-28 · 3efbfcfb7296
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ruvnet/ruflo | main | 81 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem