{"adoption": {"forks": 97, "observed_at": "2026-08-28T04:04:59.235606+00:00", "stars": 1530}, "canonical_url": "https://ross.abutalabs.com/products/chipotlai-max", "card": {"archived": false, "artifact_type": "cli-tool", "description": "The AI coding agent that runs on stolen Chipotle compute 🌯 Fork of OpenCode with Pepper AI as default model. Community project to add providers from Home Depot, Lowes, Target, Starbucks & more.", "domain": ["developer-tools", "large-language-models"], "enriched": true, "function": ["agent-framework", "llm-inference", "cli", "developer-tools", "chatbot"], "health_score": 71, "homepage": null, "language": "TypeScript", "license": "NOASSERTION", "license_family": "other", "maturity": "experimental", "member_repos": ["cyberpapiii/chipotlai-max"], "name": "cyberpapiii/chipotlai-max", "platform": ["cli", "cross-platform", "bun"], "pushed_at": "2026-06-03T18:29:23+00:00", "repo": "cyberpapiii/chipotlai-max", "stars": 1530, "tags": ["ai-coding-agent", "meme-project", "opencode-fork", "reverse-engineered-api", "openai-compatible", "free-inference", "terminal-ui", "ai-agents", "command-line", "nodejs"], "topics": [], "urls": [], "use_cases": ["run an AI coding agent in the terminal for free", "use a reverse-engineered chatbot as an OpenAI-compatible LLM endpoint", "try OpenCode with a custom default model provider", "experiment with unofficial free inference from retail support bots", "learn how WebSocket/STOMP chatbot backends are reverse-engineered"], "what_it_is": "Chipotlai Max is a meme fork of the OpenCode AI coding agent that hardcodes Chipotle's reverse-engineered 'Pepper' support chatbot as the default LLM provider via a local OpenAI-compatible proxy. It is a community joke/educational project that also aims to wire in other retailers' support bots as free model providers.", "when_to_avoid": ["any production or commercial work — the proxy may break or violate terms of service at any time", "you need reliability, rate limits are tight (anonymous session pool of 5)", "you need legal safety — it reverse-engineers a company's production support bot"], "when_to_choose": ["you want a free, zero-API-key coding agent for experimentation or memes", "you want to study how OpenCode integrates custom OpenAI-compatible providers", "you're exploring reverse-engineered chatbot proxies for educational purposes"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/chipotlai-max", "repo": "cyberpapiii/chipotlai-max", "role": "main", "score": 53}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.235606+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:31:24.304074+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e7368f072cc04ee5137683495b6378509865112ace69632b95547d529d2d41d0", "fetched_at": "2026-08-28T04:04:59.235606+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cyberpapiii/chipotlai-max"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.235606+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:31:24.304074+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e7368f072cc04ee5137683495b6378509865112ace69632b95547d529d2d41d0", "fetched_at": "2026-08-28T04:04:59.235606+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cyberpapiii/chipotlai-max"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:31:24.304074+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e7368f072cc04ee5137683495b6378509865112ace69632b95547d529d2d41d0", "fetched_at": "2026-08-28T04:04:59.235606+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cyberpapiii/chipotlai-max"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.235606+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.235606+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.235606+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:31:24.304074+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e7368f072cc04ee5137683495b6378509865112ace69632b95547d529d2d41d0", "fetched_at": "2026-08-28T04:04:59.235606+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cyberpapiii/chipotlai-max"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.235606+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.235606+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:31:24.304074+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e7368f072cc04ee5137683495b6378509865112ace69632b95547d529d2d41d0", "fetched_at": "2026-08-28T04:04:59.235606+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cyberpapiii/chipotlai-max"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.235606+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.235606+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.235606+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:31:24.304074+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e7368f072cc04ee5137683495b6378509865112ace69632b95547d529d2d41d0", "fetched_at": "2026-08-28T04:04:59.235606+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cyberpapiii/chipotlai-max"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.235606+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.235606+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:31:24.304074+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e7368f072cc04ee5137683495b6378509865112ace69632b95547d529d2d41d0", "fetched_at": "2026-08-28T04:04:59.235606+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cyberpapiii/chipotlai-max"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:31:24.304074+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e7368f072cc04ee5137683495b6378509865112ace69632b95547d529d2d41d0", "fetched_at": "2026-08-28T04:04:59.235606+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cyberpapiii/chipotlai-max"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:31:24.304074+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e7368f072cc04ee5137683495b6378509865112ace69632b95547d529d2d41d0", "fetched_at": "2026-08-28T04:04:59.235606+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cyberpapiii/chipotlai-max"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:31:24.304074+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e7368f072cc04ee5137683495b6378509865112ace69632b95547d529d2d41d0", "fetched_at": "2026-08-28T04:04:59.235606+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cyberpapiii/chipotlai-max"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 85, "longevity": 12, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases", "young", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 170, "days_push": 91, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 53, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}