
Reverie
An open-source MCP server that provides persistent Neo4j knowledge-graph memory for AI agents, with typed entities, semantic relationships, hybrid search, and…
What it does
The specific capability behind this listing, and where to get it.
Reverie
An open-source MCP server that provides persistent Neo4j knowledge-graph memory for AI agents, with typed entities, semantic relationships, hybrid search, and…
Official Reverie 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 Reverie 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 language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
Reverie's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
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": "reverie",
"name": "Reverie",
"url": "https://github.com/knowall-ai/mcp-reverie",
"logo": "https://github.com/knowall-ai.png?size=200",
"niche": null,
"category": null,
"short_summary": "An open-source MCP server that provides persistent Neo4j knowledge-graph memory for AI agents, with typed entities, semantic relationships, hybrid search, and…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public SaaS pricing was found; the repository is presented as an open-source MCP project.",
"confidence": "medium",
"source_url": "https://github.com/knowall-ai/mcp-reverie",
"checked_at": "2026-10-20T02:51:23.954Z",
"source_kind": "vendor",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/knowall-ai/mcp-reverie"
],
"last_checked": "2026-10-20",
"profile_checked": null,
"price_checked": "2026-10-20",
"how_to_connect": {
"website": "https://github.com/knowall-ai/mcp-reverie",
"docs": null,
"mcp": {
"endpoint": "https://github.com/knowall-ai/mcp",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"reverie\": {\n \"url\": \"https://github.com/knowall-ai/mcp\"\n }\n }\n}"
},
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"install": "npx: npx -y @knowall-ai/reverie Or add it to your Claude Desktop configuration: { \"",
"repository": "https://github.com/knowall-ai/mcp-reverie"
},
"deployment": {
"model": "both",
"both_offered": false,
"hosted_endpoint": "https://github.com/knowall-ai/mcp",
"install": "npx: npx -y @knowall-ai/reverie Or add it to your Claude Desktop configuration: { \"",
"note": "Offered both ways: a vendor-hosted endpoint AND a self-run install are documented.",
"evidence": {
"sources": [
"page_text:hosted",
"page_text:install",
"page_text:licence"
],
"excerpt": "p-neo4j-agent-memory --client claude For Development Clone the repository: git clone https://github.com/knowall-ai/mcp-reverie.git cd mcp-reverie Install dependencies: np",
"url": "https://github.com/knowall-ai/mcp-reverie",
"observed_day": "2026-10-23",
"age_days": 2,
"hosted_evidence": "vendor endpoint URL on the page",
"rule": "deploy-v1"
}
},
"licence": {
"name": "MIT",
"note": "Named licence as published; applies to the code, not to where it runs.",
"evidence": "page text: \"graphs www.knowall.ai Resources Readme MIT license Security policy Security pol\"",
"observed_day": "2026-10-23",
"age_days": 2
},
"evidence_checks": {
"price": {
"status": "unknown",
"note": "no observed price page text held for this listing"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 702,
"uptime_7d": 1,
"checked_at": "2026-10-24T02:42:40.022Z",
"consecutive_failures": 0,
"status": "alive"
},
"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."
}