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MCP server profile · independently tracked by Agentery
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nanomem

↗ github.com/OmBansod2/nanomem official repository

Embedded, single-file memory store for AI assistants and applications. Provides exact vector search, revision history, point-in-time queries, change tracking,…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last observation—pricing pages rechecked daily
Website liveness5 Nov 2026alive · separate from pricing

What it does

The specific capability behind this listing, and where to get it.

nanomem

Embedded, single-file memory store for AI assistants and applications. Provides exact vector search, revision history, point-in-time queries, change tracking,…

MCP

Official nanomem links

Price status · observed daily

Source repository available · no commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

MCP

Is nanomem good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

Source repository

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.

Observed commercial pricenone
Hosting model—
Price benchmarknot applicable
What to compare instead

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.

nanomem's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

See the full market →
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": "nanomem",
  "name": "nanomem",
  "url": "https://github.com/OmBansod2/nanomem",
  "logo": "https://github.com/OmBansod2.png?size=200",
  "niche": null,
  "category": null,
  "short_summary": "Embedded, single-file memory store for AI assistants and applications. Provides exact vector search, revision history, point-in-time queries, change tracking,…",
  "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 pricing was observed on the available homepage context.",
    "confidence": "medium",
    "source_url": "https://github.com/OmBansod2/nanomem",
    "checked_at": "2026-11-04T01:46:21.655Z",
    "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/OmBansod2/nanomem"
  ],
  "last_checked": "2026-11-04",
  "profile_checked": null,
  "price_checked": "2026-11-04",
  "how_to_connect": {
    "website": "https://github.com/OmBansod2/nanomem",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": "pip install nanomem Add this to your MCP client's config. On macOS",
    "repository": "https://github.com/ombansod2/nanomem",
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "deployment": {
    "model": "self_hosted",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": "pip install nanomem Add this to your MCP client's config. On macOS",
    "note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
    "evidence": {
      "sources": [
        "page_text:install",
        "page_text:licence"
      ],
      "excerpt": "ou just installed. Quickstart — give your assistant a memory that knows what changed pip install nanomem Add this to your MCP client's config. On macOS claude_desktop_con",
      "url": "https://github.com/OmBansod2/nanomem",
      "observed_day": "2026-11-05",
      "age_days": 1,
      "hosted_evidence": null,
      "rule": "deploy-v2"
    }
  },
  "licence": {
    "name": "APACHE",
    "note": "Named licence as published; applies to the code, not to where it runs.",
    "evidence": "page text: \"database vector-search Resources Readme Apache-2.0 license Activity Stars 1 star\"",
    "observed_day": "2026-11-05",
    "age_days": 1
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://github.com/pricing",
      "last_observed_day": "2026-09-22",
      "age_days": 45,
      "verified_day": "2026-09-22",
      "note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "price_reading": {
    "status": "unavailable",
    "as_of": "2026-11-05",
    "page_captured": "2026-11-05",
    "reading_made_from_capture": null,
    "reading_coverage": null,
    "changed_since_reading_observed": null,
    "summary": "How current this price reading is was not recorded for the latest capture.",
    "last_valid_observation": "2026-09-22",
    "review_status": "not_reviewed"
  },
  "product_group": null,
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 83,
    "uptime_7d": 1,
    "checked_at": "2026-11-05T02:44:46.204Z",
    "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."
}