Rlm Claude
MCP server providing persistent memory across Claude Code sessions. Stores decisions, insights, and context to prevent loss when context window fills, enabling…
What it does
The specific capability behind this listing, and where to get it.
Rlm Claude
MCP server providing persistent memory across Claude Code sessions. Stores decisions, insights, and context to prevent loss when context window fills, enabling…
Agentery has not yet captured structured capability detail for this provider.
Official Rlm Claude 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 Rlm Claude 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.
View the full niche →Comparable Persistent Agent Memory
Alternatives in the same niche, with observed price and liveness where available.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "rlm_claude",
"name": "Rlm Claude",
"url": "https://github.com/EncrEor/rlm-claude#readme",
"logo": "https://github.com/EncrEor.png?size=200",
"niche": "persistent-agent-memory",
"category": "developer-tools-infra",
"short_summary": "MCP server providing persistent memory across Claude Code sessions. Stores decisions, insights, and context to prevent loss when context window fills, enabling…",
"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": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T06:13:49.810Z",
"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/EncrEor/rlm-claude#readme"
],
"last_checked": null,
"how_to_connect": {
"website": "https://github.com/EncrEor/rlm-claude#readme",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 833,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:37:42.004Z",
"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."
}