AgentScope
Provides a framework to build and run multi-agent applications with reasoning, tool use, task planning, and team coordination
What it does
The specific capability behind this listing, and where to get it.
AgentScope
Provides a framework to build and run multi-agent applications with reasoning, tool use, task planning, and team coordination
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is AgentScope 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 Framework Open Source
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "agentscope",
"name": "AgentScope",
"url": "https://github.com/agentscope-ai/agentscope",
"logo": "https://agentery.com/logos/CP-Y4DGH5.svg",
"niche": "agent-framework-open-source",
"category": "developer-tools-infra",
"short_summary": "Provides a framework to build and run multi-agent applications with reasoning, tool use, task planning, and team coordination",
"task_performed": "Provides a framework to build and run multi-agent applications with reasoning, tool use, task planning, and team coordination",
"inputs_accepted": [
"User messages/prompts",
"tool calls",
"code",
"real-time audio (DashScope audio caption streaming)"
],
"outputs_produced": [
"Agent reply streams",
"event streams",
"tool execution results",
"tracked task plans"
],
"integrations_available": [
"MCP",
"A2A",
"DashScope",
"FastAPI",
"Docker",
"E2B",
"PyPI",
"Discord",
"DingTalk",
"Kubernetes"
],
"protocols_or_interfaces": [
"MCP",
"A2A"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "sometimes required",
"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": "2026-07-26T04:51:06.946Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"26.9k GitHub stars",
"3k forks",
"81 contributors",
"published research papers",
"Alibaba/ModelScope backing"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/agentscope-ai/agentscope",
"https://doc.agentscope.io"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://github.com/agentscope-ai/agentscope",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"agentscope\": {\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": 577,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:30:37.802Z",
"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."
}