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CRBRO

github.com/Octonove/crbro-memory official repository

A local MCP server that provides persistent long-term memory for AI assistants across sessions. It stores searchable knowledge in JSON files using neurons, syn…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last checked24 Aug 2026pricing & liveness

What it does

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

CRBRO

A local MCP server that provides persistent long-term memory for AI assistants across sessions. It stores searchable knowledge in JSON files using neurons, syn…

Agentery has not yet captured structured capability detail for this provider.

Official CRBRO 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 CRBRO 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.

CRBRO's local market

Nearest products by what they do.

See the full market →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
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  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
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  "pricing_model": "unclear",
  "price": {
    "observed": true,
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    "plans": [
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        "highlights": [
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    "source": "render+llm"
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  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
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  "regulated_data_suitability": "unclear",
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  "price_extras": {
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  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}