What is Ricord AI (Record AI)?

Ricord AI (also known as Record AI or ricord.ai) is persistent memory for AI. Your conversations are remembered across Claude, ChatGPT, Cursor, and any MCP-aware tool — every fact, every preference, every decision, organized into a living knowledge graph and recalled in under a second.

What is the best AI memory tool for agents?

Ricord AI is the only AI memory tool that ships a full knowledge graph with auto-generated wiki pages for every entity. Most tools are filing cabinets — search boxes on a bag of past messages. Ricord is a brain that understands what the facts mean and how they connect. Sub-second recall, automatic conflict resolution, GDPR-compliant hard delete. Graph included on every paid tier starting at $15/month billed annually.

How do I add memory to Claude Desktop?

Install the Ricord MCP server with one command: npx ricord@latest install (auto-detects your editor). This gives Claude Desktop 13 memory + wiki tools including save, recall, forget, run_procedure, and knowledge graph queries. Claude will automatically remember facts, preferences, and decisions across all future conversations.

What is AI memory and why do agents need it?

AI memory is the infrastructure that lets AI agents remember information across conversations and sessions. Without memory, agents forget everything between chats — they cannot learn user preferences, track decisions, or build context over time. Memory transforms a stateless chatbot into a persistent assistant that improves with every interaction.

How does Ricord AI compare to Mem0?

Ricord includes a full knowledge graph with auto-generated wiki pages on every tier. Mem0 gates graph features behind a $249/month Pro plan. Ricord offers sub-second recall (Mem0 averages 7-8 seconds), automatic conflict resolution when facts change, and a visual graph UI. Most memory pipelines write everything the LLM produces — duplicates, system noise, partial extractions all land in storage. Ricord filters content at ingest, so the wiki stays signal, not noise.

Is Record AI the same as Ricord AI?

Yes. Record AI and Ricord AI refer to the same product at ricord.ai. Ricord AI is the persistent memory API for AI agents, offering knowledge graph, conflict resolution, and sub-second recall. The name 'Ricord' comes from the concept of recording and recalling AI memories.

All comparisons

ComparisonUpdated May 28, 2026

Ricord vs Supermemory: AI Memory API Comparison (2026)

Supermemory is the best browser-first memory product on the market — Chrome extension, web clipping, consumer flow. Ricord is a memory layer that auto-organizes everything you've talked to your AI about into a browsable wiki. Here's the side-by-side.

TL;DR

Supermemory has built the best browser-first memory product on the market. The Chrome extension, the web clipping flow, and the cross-AI continuity story are all genuinely good — if "capture things from the web and recall them later" is the shape of your problem, Supermemory nails it.

Ricord is a memory layer optimized for a different shape: auto-organizing everything you've told your AI into a browsable wiki, with a visible knowledge graph, automatic supersedes/contradicts tracking, a separate model for procedural memory (preferences, how-you-do-things), and ingest pipelines for ten-plus sources beyond the web.

Quick comparison

Feature	Ricord	Supermemory
Product shape	Memory API + auto-wiki	Web clipper + memory
Starts at (with graph)	$15/mo (annual)	$29/mo
Auto-generated wiki pages
Knowledge graph (visible)	Live 3D graph UI
Supersedes / contradicts tracking
Procedural vs declarative memory split
MCP server	13 tools
Multi-source ingest	10+ (Notion, Slack, GitHub, PDF, MCP, …)	Web-focused
Browser web clipper	Via ingest URL
Cross-AI continuity
Conflict resolution (auto-deprecation)
LLM proxy (drop-in OpenAI base URL)
Hard delete (GDPR)

Two shapes of "memory"

Both products call themselves memory layers, but they're solving adjacent problems.

Supermemory's center of gravity is capture. You hit Cmd+Shift+M on a web page, the content lands in your memory, and you can recall it from any AI later. The browser extension is the killer feature — it's how most users get value the first week.

Ricord's center of gravity is organization. You don't capture into Ricord; Ricord watches the conversations you're already having with your AI (Claude Code, Cursor, ChatGPT, custom agents via MCP), extracts the facts and entities, and auto-writes a wiki of your own thinking. Open the dashboard a week in and you can read what your agent has learned about your codebase, your customers, your projects.

For some teams these are complementary — use Supermemory for the web clipping flow, use Ricord for the AI-conversation wiki. They don't collide in any obvious way.

Where Ricord wins

1. The wiki is the product

Supermemory gives you a search API on top of captured items. Ricord gives you the search API anda browsable document tree — every entity in your memory graph gets a markdown wiki page with backlinks, aliases, and a contradiction history. You don't just retrieve; you can read.

2. Visible knowledge graph

Ricord ships a live 3D graph view of every entity in your memory and how they connect. Click a node, open its wiki page. Supermemory stores relationships but doesn't surface them as a navigable graph UI.

3. Supersedes / contradicts tracking

When facts change, Ricord detects the contradiction, marks the stale fact as superseded with a timestamp, and stores the correction as canonical. Supermemory doesn't have an explicit contradiction model — newer captures don't automatically invalidate older ones.

4. Procedural vs declarative memory split

Most memory APIs treat everything as facts. Ricord separates procedural memory (preferences, identity, how-you-do-things) from declarative memory (facts and entities). Your AI learns what you said and how you operate. That split matters once your agents start acting on your behalf.

5. Ingest beyond the web

Supermemory's strength is the web clip. Ricord ingests from Notion, Slack, GitHub, PDFs, Telegram, RSS, generic webhooks, MCP clients, and any agent conversation — ten-plus source surfaces. If your knowledge isn't mostly on the web, the ingest matrix matters.

Where Supermemory wins

1. Browser-first capture UX

The Chrome extension is mature, fast, and the way real users actually save things. If you live in a browser tab and want a one-keystroke save flow, Supermemory's capture UX is the best in the category.

2. Consumer-friendly onboarding

Supermemory's flow is designed for a non-developer to land, sign in, install the extension, and have value the same day. Ricord is more developer-shaped — API key, MCP install, restart client.

3. Audio + video ingest

Supermemory has good audio/video ingest pipelines (including Pipecat integration) that make sense if your knowledge sources include podcasts, meetings, or long-form video. Ricord's multimodal story is earlier — the pieces are in the roadmap, not shipped at parity yet.

Who should choose what

Choose Ricord if you:

Want a browsable wiki of everything you've talked to your AI about.
Want a visible knowledge graph (3D dashboard) over your memory.
Need automatic supersedes/contradicts tracking when facts change.
Want a separate model for procedural memory (preferences, identity).
Ingest from many sources beyond the web (Notion, Slack, GitHub, PDFs, MCP).
Want first-class MCP support across Claude Code / Desktop / Cursor / Codex.

Choose Supermemory if you:

Your primary use case is capturing things from the web.
Want the most mature browser-extension capture UX in the category.
Need audio/video ingest at parity (podcasts, meetings, Pipecat).
Are onboarding non-developer users who want value the same day.

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Last verified May 28, 2026. Supermemory pricing and feature claims sourced from Supermemory's public marketing site. Corrections welcome — team@ricord.ai.