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dmae97

open-multi-agent-kit

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Evidence-gated runner for Codex, Claude Code, OpenCode, and local coding agents. Routes tasks into scoped DAG lanes with replayable artifacts.

MCP Servers84 estrellas10 forksTypeScriptMITActualizado today
ClaudeWave Trust Score
87/100
Trusted
Passed
  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Clear description
  • Topics declared
Last scanned: 6/11/2026
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/dmae97/open-multi-agent-kit
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "open-multi-agent-kit": {
      "command": "node",
      "args": ["/path/to/open-multi-agent-kit/dist/index.js"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Clone https://github.com/dmae97/open-multi-agent-kit and follow its README for install instructions.

24 items en este repositorio

Persistent memory, recall, session replay, and memory-governance workflow adapted from rohitg00/agentmemory for OMK. Use when setting up agent memory, deciding what to remember, importing/replaying sessions, reducing repeated context, or auditing memory safety.

Instalar

Minimal, goal-driven, surgical coding workflow adapted from forrestchang/andrej-karpathy-skills for OMK. Use for coding, refactoring, debugging, and review tasks where assumptions, overengineering, or broad edits could cause regressions.

Instalar

Legal workflow drafting, triage, review, research planning, legal operations, law-student or clinic support, and legal AI governance adapted from Anthropic claude-for-legal. Use for commercial, privacy, product, corporate, employment, regulatory, AI governance, IP, litigation, legal-clinic, and law-student tasks. Draft-only; attorney review and current source verification required.

Instalar

Real-engineering alignment, shared-language, TDD, diagnosis, and architecture-review workflow adapted from mattpocock/skills for OMK. Use before non-trivial implementation, ambiguous product work, debugging loops, test-first changes, or codebase architecture cleanup.

Instalar
multicaSkill

Managed-agent teamwork, issue assignment, progress tracking, reusable-skill compounding, and handoff workflow adapted from multica-ai/multica for OMK. Use when coordinating multiple agents, converting work into agent-ready tasks, tracking blockers, or turning repeated solutions into skills.

Instalar

Review AdaptOrch, OMK, and similar DAG multi-agent orchestration frameworks. Use when assessing DAG node responsibility, dependency edges, worker write authority, fallback/retry/timeout/evidence gates, review/merge boundaries, or reproducible decision traces.

Instalar

Optional read-only OMK web/social/video research workflow inspired by Panniantong/Agent-Reach. Use for web search, current social evidence, YouTube/Bilibili/Reddit/Twitter/X/RSS/GitHub public research, and Agent Reach availability checks without auto-installing or collecting credentials.

Instalar

Backend API review for NestJS, Express, FastAPI, database access, validation, auth, error handling, and API contracts.

Instalar

Adversarial code review for diffs, logic correctness, type safety, test coverage, and security risk.

Instalar

Context and memory policy for long-running Kimi coding sessions, DAG workers, and repeated project work.

Instalar

Diagnose agent, runtime, tool, hook, context, provider-routing, DAG, retry, fallback, and evidence-gate failures using an industrial automation feedback-control loop. Use when workflows oscillate, stall, lose context, misroute tools, or need setpoint/sensor/controller/actuator/disturbance/correction analysis.

Instalar

Build and maintain a terminal-native, orchestration-first design system for agent team HUDs, status surfaces, and control planes.

Instalar

Documentation, changelog, release note, README, migration guide, and developer handoff workflow.

Instalar

Generate task-specific evidence contracts before a done/completed claim. Use for feature, bugfix, refactor, research, release, security, docs, or orchestration tasks that need changed files, non-empty diffs, test/build/typecheck results, citations, uncertainty, conflicting evidence, and final risk notes.

Instalar

Implement frontend UI components from DESIGN.md, mockups, or screenshots with strict adherence to existing component system and accessibility.

Instalar

Frontend UI review for React, Next.js, Tailwind, accessibility, responsive layout, state handling, and component architecture.

Instalar

Git commit and pull request summary workflow using Conventional Commits and evidence from the current diff.

Instalar

Industrial automation and feedback-control inspired review for AI workflows, agents, orchestration loops, state machines, and reliability.

Instalar

Read-only planning workflow before implementation. Use for architecture, refactor, feature development, risky edits, and ambiguous tasks.

Instalar

Project-level operating rules extracted from AGENTS.md, DESIGN.md, and .omk/memory/. Apply silently before implementation.

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Python typed development standards using type hints, pytest, ruff, pyright, uv, and maintainable package structure.

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Run lint, typecheck, test, and build gates before completing any implementation task.

Instalar

Efficient repository exploration without dumping the whole codebase. Use before feature work, debugging, refactoring, and review.

Instalar

Web research and source verification workflow for current technical facts, libraries, APIs, pricing, policies, and documentation.

Instalar
Casos de uso

Resumen de MCP Servers

README no disponible. Visita el repo en GitHub para la documentación completa.
agent-orchestrationagent-runtimeai-codingclaude-codeclicode-reviewcodexcoding-agentdeveloper-toolsdevtoolsevidencelocal-firstlocal-llmmcpmodel-context-protocolmulti-agentopencodesoftware-engineeringtypescriptworkflow-automation

Lo que la gente pregunta sobre open-multi-agent-kit

¿Qué es dmae97/open-multi-agent-kit?

+

dmae97/open-multi-agent-kit es mcp servers para el ecosistema de Claude AI. Evidence-gated runner for Codex, Claude Code, OpenCode, and local coding agents. Routes tasks into scoped DAG lanes with replayable artifacts. Tiene 84 estrellas en GitHub y se actualizó por última vez today.

¿Cómo se instala open-multi-agent-kit?

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Puedes instalar open-multi-agent-kit clonando el repositorio (https://github.com/dmae97/open-multi-agent-kit) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar dmae97/open-multi-agent-kit?

+

Nuestro agente de seguridad ha analizado dmae97/open-multi-agent-kit y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene dmae97/open-multi-agent-kit?

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dmae97/open-multi-agent-kit es mantenido por dmae97. La última actividad registrada en GitHub es de today, con 14 issues abiertos.

¿Hay alternativas a open-multi-agent-kit?

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Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.

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