claude

ruflo-agent

Agent runtimes — local WASM-sandboxed agents (rvagent) + Anthropic Claude Managed Agents (cloud); one interface, local-vs-cloud backends

81,589 on GitHubby ruvnetv0.4.2MITupdated today
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Plugin ruflo-agent from marketplace ruflo in ruvnet/ruflo. Commands read from the repo's manifest — today.

What it installs

Skills (5)

  • managed-agent

    Run an Anthropic Claude Managed Agent — a cloud agent harness (container + filesystem + tools), the cloud counterpart of the local wasm-agent runtime

  • managed-workflow

    Discover and run bounded remote dynamic workflows with Ruflo mod policy, worker inspection and independent acceptance gates

  • nested-subagents

    Spawn nested sub-agents (agents that spawn sub-agents, up to depth=5) via Claude Code's native Task tool — for context-managed deep delegation

  • wasm-agent

    Create and manage sandboxed WASM agents for isolated code execution

  • wasm-gallery

    Browse, publish, and install WASM agents from the community gallery

Slash commands (2)

  • /ruflo-agent:managed-agent

    Anthropic Claude Managed Agents (cloud runtime) — list cloud sessions, check status, fetch a transcript, clean up

  • /ruflo-agent:wasm

    WASM agent management -- list running agents, check status, browse gallery

Subagents (9)

  • nested-coordinator

    Orchestrator that spawns nested sub-agents (up to depth=5) via Claude Code's native Task tool — for deep delegation where context isolation matters more than throughput

  • nested-leaf

    Leaf-worker template for nested spawn trees — performs one focused task and returns a structured summary. Deliberately does NOT have the Task tool (least-privilege boundary)

  • nested-queen-leaf

    Tier-2 leaf — bottom of a queen-led tree. Deliberately no Task tool (least-privilege), but DOES record trajectory steps, AIDefence-scan its own inbound prompt, and report cost — so the queen's intelligence pipeline learns from every leaf outcome

  • nested-queen-researcher

    Tier-2 recursive researcher — nested-researcher's role with HNSW pattern retrieval, AIDefence-gated web content, hive-mind consensus on which followups to pursue, and full trajectory recording

  • nested-queen-reviewer

    Tier-2 recursive reviewer — find-and-verify like nested-reviewer, but with hive-mind byzantine consensus on findings (replaces inline majority voting), AIDefence-screened evidence, and trajectory learning across review runs

  • nested-queen

    Heavyweight nested orchestrator — wires Claude Code's depth=5 nesting onto ruflo's hive-mind, swarm, intelligence pipeline, claims/AuthScope, AIDefence, and cost-budget machinery. Use when depth alone isn't enough.

  • nested-researcher

    Recursive research orchestrator — fans out into sub-research branches when an investigation deepens, keeping each branch in its own context window

  • nested-reviewer

    Recursive review orchestrator — each finding can spawn an adversarial verifier in its own context, so review remains thorough without bloating the top-level reviewer

  • wasm-specialist

    WASM sandbox specialist for creating, managing, and sharing isolated agent environments

View source on GitHub cognitum.one

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