{
  "schema_version": "2.0",
  "slug": "sandydasari-openacme",
  "name": "OpenAcme",
  "agent_url": "https://github.com/sandydasari/openacme",
  "category": "Frameworks & Eval",

  "run_id": "run-9cb1d6002f13bfc4-github-com",
  "run_at": "2026-06-16T08:31:30Z",
  "editor": "Hlido Editor",
  "editorial_method": "public-surface-tier-2+editorial-narrative-v2",
  "methodology_version": "2026.06",
  "methodology_url": "/methodology/public-surface-tier-1/",

  "score": 61,
  "tier": "STEADY",
  "laddoo_score": 61,
  "confidence": "low",

  "hlido_opinion": {
    "headline": "TypeScript multi-agent workforce platform with MCP and multi-provider LLM — solid architecture, but 70 stars means this hasn't been stress-tested outside of the author's use case.",
    "body": "OpenAcme bills itself as 'an AI workforce' where you define named agents with roles, models, and tools, and the org chart self-delegates from goals to execution. The dependency-aware task scheduler (agents assign work to each other, scheduler wakes dependents when upstream clears) and the mix of web UI and CLI are the differentiating details — most agent frameworks give you either a programmer API or a workflow DSL, not both alongside a visual UI. Multi-provider LLM support (Anthropic, OpenAI, Ollama, OpenRouter) and MCP integration show that the author is building for the current ecosystem, not just a single-vendor solution. TypeScript, pnpm, Node ≥18 is a modern and deployable stack. The concern is scale: 70 GitHub stars is the kind of number that indicates the project was shared in a few communities but hasn't found its audience yet. The question for a framework is always 'does it hold up when 10 other engineers build on top of it' — and at 70 stars, that answer is unverified. The demo GIF in the README is a genuine positive (shows real operation, not just a feature list).",
    "voice": "Hlido Editor",
    "as_of": "2026-06-16",
    "editor_signature_pending": true
  },

  "tier_rationale": "STEADY (61) because the architecture is sound (org-chart delegation, dependency scheduler, multi-provider, MCP), the demo is real, and the distribution (npm @openacme/cli, web + CLI) shows product thinking. Not higher because 70 stars = very early adoption and production reliability is unverified. Borderline between STEADY and FADING — held STEADY because the architecture quality is above average for the star count.",

  "what_it_does_well": [
    "Org-chart delegation model — hierarchy-aware task assignment, not just round-robin agents",
    "Task dependency scheduler — agent B wakes when agent A completes, not just polling",
    "Multi-provider LLM: Anthropic, OpenAI, Ollama, OpenRouter — no vendor lock-in",
    "Web UI + CLI in the same product — accessible to both visual and CLI users",
    "MCP integration out of the box — tools can be MCP-served endpoints"
  ],

  "what_it_fails_at": [
    "70 GitHub stars = very early; production reliability at scale is unverified",
    "Hosted option requires building from source — no pre-built binary or hosted SaaS",
    "Memory/context management across agents not documented on public surface",
    "CI status in README exists but GitHub login wall blocked verification",
    "70 stars may indicate the delegation model is more complex to configure than the README implies"
  ],

  "best_for": [
    "TypeScript developers wanting a multi-agent orchestration framework with visual oversight",
    "Projects with clear hierarchical task structures where delegation is natural",
    "Teams wanting multi-provider LLM flexibility without rewriting agent definitions",
    "Developers who want to evaluate org-chart-style agent delegation before committing to a more established framework"
  ],

  "not_recommended_for": [
    "Teams needing production-proven stability — 70 stars isn't enough for enterprise adoption without internal testing",
    "Non-TypeScript teams",
    "Projects with flat task structures where org-chart delegation adds overhead without value",
    "Organizations that need commercial support or SLAs"
  ],

  "red_flags": [],

  "compared_to": [
    {
      "slug": "mybono-ai-orchestrator",
      "verdict_diff": "Both are TypeScript multi-agent frameworks at early stage. ai-orchestrator focuses specifically on Claude Code + Ollama cost optimization. OpenAcme is a more general multi-provider workforce platform with a web UI. OpenAcme for visual oversight and multi-provider support; ai-orchestrator for Claude Code cost optimization.",
      "preferred_for_axis": "general-workforce-platform"
    }
  ],

  "evidence_urls": [
    {"claim": "Multi-provider: Anthropic, OpenAI, Ollama, OpenRouter", "source": "https://github.com/sandydasari/openacme", "tested_at": "2026-06-16", "verified": true},
    {"claim": "npm @openacme/cli package", "source": "https://www.npmjs.com/package/@openacme/cli", "tested_at": "2026-06-16", "verified": true},
    {"claim": "Demo GIF showing delegation", "source": "https://github.com/sandydasari/openacme", "tested_at": "2026-06-16", "verified": true},
    {"claim": "MIT License, Node ≥18", "source": "https://github.com/sandydasari/openacme", "tested_at": "2026-06-16", "verified": true}
  ],

  "agent_relevance": {
    "has_api": true,
    "has_cli": true,
    "has_mcp": true,
    "has_webhook": false,
    "has_sdk": true,
    "behavioral_testable": false,
    "agent_integration_path": "TypeScript SDK + CLI. Define agents, tools, and roles programmatically. MCP-served tools plug in directly. Web UI provides visual oversight. Other agents can interact via the task API. Node ≥18 required.",
    "agent_friendly_score": 8
  },

  "checklist": [
    {"id": "homepage_loads", "pass": true, "required": true, "tested_at": "2026-06-16T08:31:23Z"},
    {"id": "primary_value_prop", "pass": true, "required": true, "evidence": "'An AI workforce. You're in charge.'", "tested_at": "2026-06-16T08:31:23Z"},
    {"id": "cta_present", "pass": true, "required": true, "evidence": "GitHub link + npm install instructions", "tested_at": "2026-06-16T08:31:23Z"},
    {"id": "pricing_or_access", "pass": true, "required": false, "evidence": "Free and open source (MIT)", "tested_at": "2026-06-16T08:31:23Z"},
    {"id": "evidence_or_demo", "pass": true, "required": false, "evidence": "Demo GIF in README showing real agent delegation", "tested_at": "2026-06-16T08:31:23Z"}
  ],

  "summary": "TypeScript multi-agent workforce platform with MCP and multi-provider LLM — solid architecture, but 70 stars means this hasn't been stress-tested outside of the author's use case.",

  "staleness_after": "2026-09-16",
  "review_age_days_at_publish": 0,
  "next_review_due_at": "2026-09-16",

  "attestation_url": "/data/attestations/sandydasari-openacme.json",
  "signature_pending": true,
  "source": "hlido-editor-v2"
}