agentic-flow (external: maintained in ruvnet/agentic-flow, pinned to commit d19737b, plugin 3.4.0): the agentic-flow MCP server pinned to [email protected] (ReasoningBank learning, ecosystem tools prompt_injection_scan, swarm_partition_tasks, sublinear_solve, sublinear_pagerank and ecosystem_status, multi-provider routing, autopilot learning; readonly profile by default, no tool pre-approved), 2 agents, 4 skills, /agentic-flow-status, and a mod guard on agentic_flow_agent with /agentic-flow-guard
Plugin agentic-flow from marketplace ruflo in ruvnet/ruflo. Commands read from the repo's manifest — today.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
autopilot-learningMake a long-running or looped task list learn as it goes with agentic-flow - before each task recall similar past episodes and their critiques, after each task record the outcome, and re-engage failed tasks with what was learned. Use with /loop or autopilot-style runs, or when the user asks for "sel
ecosystem-integrationsUse agentic-flow's optional ruvnet integrations - aidefence prompt-injection screening, @ruvector/mincut-wasm task partitioning, @ruvnet/sublinear-core PageRank, personalized PageRank and linear solves, agent-booster code edits, ONNX WASM embeddings and the native HNSW router. Use when splitting wor
multi-provider-routingRoute agentic-flow work across Anthropic, OpenRouter, Gemini and local ONNX models, and run the Anthropic-compatible translation proxy with its per-run token. Use when the user wants cheaper models, a non-Anthropic provider, local inference, or to point Claude Code at OpenRouter or Gemini.
reasoningbank-learningUse agentic-flow's ReasoningBank to learn from past work - search similar episodes before a task, record reward, success and critique after it, and read trends. Use when the user wants agents to remember what worked, or asks about ReasoningBank, pattern store/search, or self-learning.
/agentic-flow:agentic-flow-statusShow the agentic-flow plugin's state - MCP server connection, capability profile and the tools it registered, provider defaults, the guard's mode, and ReasoningBank stats
model-routerCost-aware provider and model router for agentic-flow. Picks a provider (Anthropic, OpenRouter, Gemini, ONNX local) and model for a task from its difficulty, privacy needs and budget, and explains the trade-off. Use before running agentic-flow agents on many or long tasks, or when the user asks how
reasoningbank-learnerReasoningBank learning agent for agentic-flow. Searches past task episodes before work starts, then records the outcome (reward, success, critique) afterwards so later runs start from what worked. Use when a task resembles earlier work or when a finished task should be remembered.
agentic-flowruns: npx -y [email protected] mcp start
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations
24 skills · 1 command · 1 agent · hooks
Tenant-isolated AI teams that plan work, coordinate tasks, recall approved context, and return evidence-backed results
6 skills · 6 commands · 4 agents · 1 MCP server
Agent runtimes — local WASM-sandboxed agents (rvagent) + Anthropic Claude Managed Agents (cloud); one interface, local-vs-cloud backends
5 skills · 2 commands · 9 agents
MetaHarness integration — surfaces score/genome/mint/mcp-scan/threat-model via skills; pairs with @metaharness/router (ADR-148/149) for cost-optimal model routing; honors ADR-150 optional-augmentation constraint
13 skills · 1 command · 1 agent · hooks
Visual workflow automation with templates, orchestration, and lifecycle management
5 skills · 8 commands · 3 agents
Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams
6 skills · 7 commands · 4 agents
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