
Mcp Local Memory
Lightweight local memory server for AI agents with semantic search, keyword search, and knowledge graphs. Enables persistent codebase understanding and user pr…
What it does
The specific capability behind this listing, and where to get it.
Mcp Local Memory
Lightweight local memory server for AI agents with semantic search, keyword search, and knowledge graphs. Enables persistent codebase understanding and user pr…
Agentery has not yet captured structured capability detail for this provider.
Official Mcp Local Memory links
Pricing & plans
Observed public pricing for Mcp Local Memory, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$4 /mo
The current price sits below the comparable median.
$4 sits below the observed Team flat range ($99–$347.50) — around the 1th percentile of observed prices. It reads as a value play; make sure the margin still works.
Why Agentery reaches that view
price_benchmark98% below the Team flat median.
get_provider_profile · plan historyTeam observed 2026-07-15.
pricing recommendation~1st percentile of comparable Team flat plans (approximate: interpolated between the cohort’s observed quartiles, 25 providers).
confidencehigh; source page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Mcp Local Memory good value?
How its price compares with genuinely comparable providers.
Below the comparable median for its buyer tier.
Basis: Team flat plans at the same billing unit (25 providers), USD monthly, pricing observed 2026-07-15. The Team plan ($4/mo) sits 98% below that median of $199. Other cohorts on this page (niche-wide tier peers, nearest products by capability) are labelled where they appear.
Compared with Agent Memory Systems
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit (the basis is stated with each verdict above). See the plans above for the percentile and its cohort size, and the full niche market for peers.
View the full niche →Mcp Local Memory'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": "mcp_local_memory",
"name": "Mcp Local Memory",
"url": "https://github.com/Beledarian/mcp-local-memory",
"logo": "https://github.com/Beledarian.png?size=200",
"niche": "agent-memory-systems",
"category": "developer-tools-infra",
"short_summary": "Lightweight local memory server for AI agents with semantic search, keyword search, and knowledge graphs. Enables persistent codebase understanding and user pr…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"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 pricing was observed for this open-source local memory MCP server.",
"confidence": "medium",
"source_url": "https://github.com/Beledarian/mcp-local-memory",
"checked_at": "2026-10-20T02:21:50.143Z",
"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/Beledarian/mcp-local-memory"
],
"last_checked": "2026-10-20",
"profile_checked": null,
"price_checked": "2026-10-20",
"how_to_connect": {
"website": "https://github.com/Beledarian/mcp-local-memory",
"docs": null,
"mcp": {
"endpoint": "https://github.com/Beledarian/mcp",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"mcp_local_memory\": {\n \"url\": \"https://github.com/Beledarian/mcp\"\n }\n }\n}"
},
"a2a": null,
"api": null,
"protocols": [],
"install": "npx \" , \"args\" : [ \" -y \" , \" @beledarian/mcp-local-memory@2 \" ], \"env\" : { \"ARCHIV",
"repository": "https://github.com/beledarian/mcp-local-memory"
},
"deployment": {
"model": "both",
"both_offered": false,
"hosted_endpoint": "https://github.com/Beledarian/mcp",
"install": "npx \" , \"args\" : [ \" -y \" , \" @beledarian/mcp-local-memory@2 \" ], \"env\" : { \"ARCHIV",
"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": ": npm install -g @beledarian/mcp-local-memory@2 memory --help From source: git clone https://github.com/Beledarian/mcp-local-memory.git cd mcp-local-memory npm install np",
"url": "https://github.com/Beledarian/mcp-local-memory",
"observed_day": "2026-10-24",
"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: \"mcp mcp-server memory Resources Readme MIT license Contributing Contributing Ac\"",
"observed_day": "2026-10-24",
"age_days": 2
},
"evidence_checks": {
"price": {
"source_url": "https://github.com/pricing",
"last_observed_day": "2026-07-26",
"age_days": 92,
"verified_day": null,
"note": "not verified by the page-text gate"
},
"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": 79,
"uptime_7d": 1,
"checked_at": "2026-10-24T02:39:06.645Z",
"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."
}