Agentery pricing intelligence · Provider profile · Mmw
Provider profile · independently tracked by Agentery
M
Mmw
MMW (Managed Memory Workspace) provides a high-performance, persistent memory and knowledge layer for autonomous AI agents. Key Features: - Sub-2ms Re…
Agentery price verdictNo pricing observed
Billing model—
Last observation23 Sept 2026pricing pages rechecked daily
What it does
The specific capability behind this listing, and where to get it.
MMW (Managed Memory Workspace) provides a high-performance, persistent memory and knowledge layer for autonomous AI agents. Key Features: - Sub-2ms Retrieval: Instant semantic search and fact retrieval across historical sessions. - Strict Tenant Isolation: Per-workspace cryptographic data separation and permission boundaries. - Provenance & Verification: Audit trails, source revision tracking, confidence scoring, and conflict reconciliation. - Multi-Client Ready: Native compatibility with Claude Desktop, Cursor, Zed, and custom LLM workflows via Streamable HTTP.
MCPMCPautonomy: workflow automation
Official Mmw links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Mmw good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
NichePersistent Agent Memory
Price benchmarknot applicable
What to compare instead
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 →Mmw's local market
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See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "mmw",
"name": "Mmw",
"url": "https://mmwhub.tech/",
"logo": null,
"niche": "persistent-agent-memory",
"category": "developer-tools-infra",
"short_summary": "MMW (Managed Memory Workspace) provides a high-performance, persistent memory and knowledge layer for autonomous AI agents.\n\n Key Features:\n - Sub-2ms Re…",
"task_performed": "MMW (Managed Memory Workspace) provides a high-performance, persistent memory and knowledge layer for autonomous AI agents.\n\n Key Features:\n - Sub-2ms Retrieval: Instant semantic search and fact retrieval across historical sessions.\n - Strict Tenant Isolation: Per-workspace cryptographic data separation and permission boundaries.\n - Provenance & Verification: Audit trails, source revision tracking, confidence scoring, and conflict reconciliation.\n - Multi-Client Ready: Native compatibility with Claude Desktop, Cursor, Zed, and custom LLM workflows via Streamable HTTP.",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"general business"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": null,
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://mmwhub.tech/"
],
"last_checked": "2026-09-24",
"how_to_connect": {
"website": "https://mmwhub.tech/",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": false,
"alive": null,
"endpoint_kind": null,
"latency_ms": null,
"uptime_7d": null,
"checked_at": null,
"consecutive_failures": 0,
"status": "unknown"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}