package.json

{
  "name": "ed-agent",
  "version": "0.6.2",
  "description": "Ed Agent — a mission-swappable one-person army for build, review AND trust, now with an inner self-correction loop. One requirement (or any content) drives a nine-stage lifecycle with two deliberation checkpoints where it STOPS and surfaces the questions only a human can answer. v0.6 adds the loop (opt-in --loop): the produced artifact is refined in a deterministic produce→verify→(rollback) inner loop with four safety mechanisms — a severity gate, an overshoot rollback (discard a regressed version), iron-law HARD-HALTS (crossed red lines never bypass the human), and a budget fuse against runaway loops — plus a WHAT/WHY/PATTERN audit trail and a learning flywheel that forges a durable rule from every human rejection. Every build also runs a mission-aware red team and claim-level grounding (report-only by default, --strict to gate). Squads swap by domain (code · marketing · contract · regulated-finance · optimize/總導師). Point it at a diff to ask 'should I trust this?', or at any artifact with --refine to watch it self-correct. Drop it into any bot via MCP (14 tools) or the AGENTS.md brief. Zero-dependency core; the model produces, the harness governs.",
  "type": "module",
  "bin": {
    "ed-agent": "bin/ed-agent.mjs",
    "ed-agent-mcp": "mcp/server.mjs"
  },
  "main": "src/orchestrator.mjs",
  "exports": {
    ".": "./src/orchestrator.mjs"
  },
  "files": [
    "bin",
    "src",
    "mcp",
    "dashboard",
    "knowledge",
    "img/ed_agent.png",
    "AGENTS.md",
    "Ed_agents_Claude.md",
    "README.md",
    "LICENSE"
  ],
  "scripts": {
    "start": "node bin/ed-agent.mjs",
    "example": "node bin/ed-agent.mjs \"Build a KYC onboarding step for an Australian retail broker — Enhanced Due Diligence with source of funds\"",
    "example:optimize": "node bin/ed-agent.mjs --mission optimize \"In conclusion, our world-class KYC onboarding will seamlessly leverage cutting-edge technology to improve the experience and unlock value under ASIC rules in Australia.\"",
    "example:deliberate": "node bin/ed-agent.mjs \"Add a payment retry flow\" --intent \"cut failed-payment churn\" --not \"no auto-charge without consent; do not change the payments schema\"",
    "example:loop": "node bin/ed-agent.mjs --refine examples/sample-loop/input-artifact.md --mission code --target 6",
    "test": "node test/ed-agent.test.mjs",
    "test:mcp": "node mcp/test-mcp.mjs",
    "test:dashboard": "node dashboard/test-dashboard.mjs",
    "dashboard": "node dashboard/server.mjs",
    "serve": "node mcp/server.mjs",
    "build:mcpb": "bash scripts/build-mcpb.sh"
  },
  "engines": {
    "node": ">=18"
  },
  "optionalDependencies": {
    "@modelcontextprotocol/sdk": "^1.29.0",
    "zod": "^3.25.76"
  },
  "keywords": [
    "ai-agent",
    "multi-agent",
    "orchestration",
    "lifecycle",
    "mcp",
    "design-ops",
    "human-in-the-loop",
    "eds-mcp",
    "content-optimization",
    "critique",
    "quality-gate",
    "anti-ai-tone",
    "code-trust",
    "code-review",
    "ai-code-review",
    "deliberation",
    "intent-capture",
    "red-team",
    "adversarial-review",
    "claim-grounding",
    "loop-engineering",
    "self-correcting",
    "agentic-loop",
    "iron-laws",
    "overshoot-rollback",
    "audit-trail",
    "zero-dependency"
  ],
  "author": {
    "name": "Ed Chen",
    "url": "https://www.edwson.com"
  },
  "homepage": "https://github.com/Edwson/Ed-Agent",
  "license": "MIT"
}