🌊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
⭐ Hugely popular: 68k stars, gaining about 702 a week
View on GitHub ↗repo profile
momentum
durability
bus factor = how many people it takes to cover more than half the commits (6 months). 1 is a solo project; higher means the work is spread across a team. top-author share is the single busiest author's slice of those commits.
since we covered it
why it's a big deal
- Pushes single-agent coding tools into swarm-based execution with shared memory and consensus.
- Adds zero-trust federation so agents on different machines and orgs can collaborate without leaking data.
- Treats agent learning as core infrastructure, with self-improving patterns persisted across sessions.
under the hood
- Built around an MCP server with hooks, 32 native Claude Code plugins, and 21 npm plugins.
- Vector memory using HNSW-indexed AgentDB with sub-millisecond retrieval.
- Multi-provider support across Claude, GPT, Gemini, Cohere, and local models via Ollama.
our take from PR#33, 2026-05-06
star history
- PR#33 43k 2026-05-06
- now 68k + 25k since first covered
curve is sampled from GitHub's star history, plus our own daily readings since we covered it; the dashed stretch is before we first covered it, the solid line since. figures at coverage are the numbers we printed then (approx.), current count is live.
understory
Output and attention are roughly in balance.
- output, commits & releases
- clout, star velocity
output = commits & releases; clout = star velocity, both 0 to 100 monthly indices; the gap where output runs above clout is the understory. The understory →
covered in
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Multi-agent orchestration for Claude Code
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