
Autonomous Mode Agent Schedule
runs an autonomous local agent mode that proactively schedules its own follow-up actions, discovers the environment, checks previous tasks, and surfaces releva…
What it does
The specific capability behind this listing, and where to get it.
runs an autonomous local agent mode that proactively schedules its own follow-up actions, discovers the environment, checks previous tasks, and surfaces relevant information without waiting for user input
Official Autonomous Mode Agent Schedule 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 Autonomous Mode Agent Schedule 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 Agent Runtime Platform
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": "autonomous_mode_agent_schedule",
"name": "Autonomous Mode Agent Schedule",
"url": "https://github.com/amd/gaia/issues/555",
"logo": "https://agentery.com/logos/CP-8V2F75-256.png",
"niche": "agent-runtime-platform",
"category": "developer-tools-infra",
"short_summary": "runs an autonomous local agent mode that proactively schedules its own follow-up actions, discovers the environment, checks previous tasks, and surfaces releva…",
"task_performed": "runs an autonomous local agent mode that proactively schedules its own follow-up actions, discovers the environment, checks previous tasks, and surfaces relevant information without waiting for user input",
"inputs_accepted": [
"user messages",
"system/hardware scans",
"file/folder indexing",
"installed app detection",
"scheduled task results",
"memory and knowledge databases"
],
"outputs_produced": [
"proactive updates",
"scheduled follow-up tasks",
"agent activity timeline entries",
"surfaced information",
"task results",
"notifications"
],
"integrations_available": [
"MCP",
"Lemonade",
"GitHub",
"Playwright",
"Jira",
"VS Code",
"Git"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "agentic",
"human_approval_needed": "sometimes required",
"pricing_model": "free",
"price": {
"observed": false,
"billing": "unknown",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T05:45:50.909Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"1.4k GitHub stars",
"119 forks",
"AMD organization repository"
],
"evidence_quality": "high",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/amd/gaia/issues/555"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://github.com/amd/gaia/issues/555",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"autonomous_mode_agent_schedule\": {\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": 1354,
"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."
}