aiwg/agentic/code/addons/rlm/manifest.json

Deployment tool and support utility for AI context. Copies agents, skills, commands, rules, and behaviors into the paths each AI platform reads (Claude Code, Codex, Copilot, Cursor, Warp, OpenClaw, and 6 more) so one source of truth works across 10 platfo

{
  "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/",
    "skills": "skills/",
    "rules": "rules/",
    "schemas": "schemas/",
    "templates": "templates/",
    "docs": "docs/",
    "examples": "examples/"
  },
  "agents": [
    "rlm-agent"
  ],
  "commands": [],
  "agenticTools": {
    "category": "agentic-tools",
    "description": "Support tools for agentic sessions. Callable by users but primarily used by agents during recursive and fanout operations.",
    "tools": ["chunk", "fanout", "rlm-prep", "rlm-search", "rlm-status"]
  },
  "skills": [
    "rlm-mode",
    "rlm-query",
    "rlm-batch",
    "rlm-status",
    "chunk",
    "fanout",
    "rlm-prep",
    "rlm-search"
  ],
  "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
    }
  }
}