
AutoResearch
autonomously experiments with LLM training code—modifies architecture, hyperparameters, and optimizer, trains for a 5-minute budget, evaluates, and keeps or di…
What it does
The specific capability behind this listing, and where to get it.
autonomously experiments with LLM training code—modifies architecture, hyperparameters, and optimizer, trains for a 5-minute budget, evaluates, and keeps or discards changes to find better models overnight
Official AutoResearch links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is AutoResearch good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Comparable Autonomous AI Research Lab
Alternatives in the same niche, with observed price and liveness where available.




See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "autoresearch",
"name": "AutoResearch",
"url": "https://github.com/karpathy/autoresearch",
"logo": "https://agentery.com/logos/CP-ZGRSTR-256.png",
"niche": "autonomous-ai-research-lab",
"category": "research-knowledge-work",
"short_summary": "autonomously experiments with LLM training code—modifies architecture, hyperparameters, and optimizer, trains for a 5-minute budget, evaluates, and keeps or di…",
"task_performed": "autonomously experiments with LLM training code—modifies architecture, hyperparameters, and optimizer, trains for a 5-minute budget, evaluates, and keeps or discards changes to find better models overnight",
"inputs_accepted": [
"program.md instruction files",
"train.py code",
"training data downloaded by prepare.py"
],
"outputs_produced": [
"modified train.py code",
"logs of experiments",
"improved model",
"validation bits-per-byte (val_bpb) metrics"
],
"integrations_available": [
"Claude",
"Codex",
"PyTorch",
"uv",
"GitHub"
],
"protocols_or_interfaces": [],
"industry_fit": [
"developer tools / AI research"
],
"autonomy_level": "agentic",
"human_approval_needed": "unclear",
"pricing_model": "free",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T10:46:10.124Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"87.2k GitHub stars",
"12.6k forks",
"created by Andrej Karpathy"
],
"evidence_quality": "high",
"entity_type": "tool",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/karpathy/autoresearch"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://github.com/karpathy/autoresearch",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"autoresearch\": {\n \"url\": \"https://github.com/mcp.json\"\n }\n }\n}"
},
"a2a": null,
"api": {
"docs_url": "https://github.com/developer",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 642,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:31:24.888Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}