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Codex Agent Mem

marcelocaporale.github.io/codex-agent-mem official website

Local-first MCP memory layer for AI agents and coding workflows. Stores project context in SQLite with FTS5, reduces token usage by ~95%, and integrates with C…

MCP server
Agentery price verdictNo pricing observed
Connection modelMCP serverMCP clients
Last checked28 Jul 2026pricing & liveness

What it does

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

Codex Agent Mem

Local-first MCP memory layer for AI agents and coding workflows. Stores project context in SQLite with FTS5, reduces token usage by ~95%, and integrates with C…

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

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.

MCP

Is Codex Agent Mem 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
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.

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Comparable Agent Memory Systems

Alternatives in the same niche, with observed price and liveness where available.

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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
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  "agent_id": "codex_agent_mem",
  "name": "Codex Agent Mem",
  "url": "https://marcelocaporale.github.io/codex-agent-mem/",
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  "niche": "agent-memory-systems",
  "category": "developer-tools-infra",
  "short_summary": "Local-first MCP memory layer for AI agents and coding workflows. Stores project context in SQLite with FTS5, reduces token usage by ~95%, and integrates with C…",
  "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 price found on the vendor site.",
    "confidence": "high",
    "source_url": "https://marcelocaporale.github.io/codex-agent-mem/",
    "checked_at": "2026-07-26T06:30:19.405Z",
    "amount": null,
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    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
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  ],
  "last_checked": null,
  "how_to_connect": {
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    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 712,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:32:28.268Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}