{
  "id": "rlm",
  "type": "addon",
  "name": "Recursive Language Models",
  "version": "1.0.0",
  "description": "RLM-inspired recursive context decomposition for processing arbitrarily large codebases and document corpora through programmatic sub-agent delegation",
  "core": false,
  "autoInstall": false,
  "author": "AIWG Contributors",
  "license": "MIT",
  "repository": "https://github.com/jmagly/aiwg",
  "keywords": [
    "rlm",
    "recursive",
    "long-context",
    "decomposition",
    "sub-agent",
    "context-management",
    "chunking",
    "fan-out",
    "batch"
  ],
  "researchFoundation": {
    "REF-089": "Recursive Language Models (Zhang et al., 2026) — REPL-based recursive decomposition for 10M+ token processing",
    "REF-018": "ReAct — TAO loop structure underlying RLM's iterative REPL",
    "REF-022": "AutoGen — Sub-agent delegation patterns parallel to llm_query()",
    "REF-015": "Self-Refine — Iterative refinement with best-output selection"
  },
  "entry": {
    "agents": "agents/",
    "commands": "commands/",
    "skills": "skills/",
    "rules": "rules/",
    "schemas": "schemas/",
    "templates": "templates/",
    "docs": "docs/"
  },
  "agents": [
    "rlm-agent"
  ],
  "commands": [
    "rlm-query",
    "rlm-batch",
    "rlm-status"
  ],
  "skills": [
    "rlm-mode"
  ],
  "rules": [
    "rlm-context-management"
  ],
  "schemas": [
    "rlm-task-tree",
    "rlm-state",
    "rlm-trajectory",
    "rlm-cost"
  ],
  "templates": [
    "cost-report"
  ],
  "dependencies": {
    "required": [],
    "optional": ["ralph", "aiwg-utils"]
  },
  "configuration": {
    "defaults": {
      "maxDepth": 3,
      "maxSubCalls": 20,
      "defaultSubModel": "sonnet",
      "budgetTokens": 500000,
      "parallelSubCalls": true,
      "persistState": true
    }
  }
}