The AI memory layer that records, recalls, and reasons. Ricord gives your agents persistent memory with sub-second recall, knowledge graph, and conflict resolution.
Everything your agents need to remember, reason, and retrieve — built for production.
Every piece of knowledge gets a utility score that improves with usage. Retrieval gets smarter over time — the most useful knowledge surfaces first.
Detects duplicates, contradictions, and updates automatically. No stale data.
Three-level hierarchy (L0/L1/L2) delivers 80-98% token savings.
Save from any source — URLs, PDFs, images, audio, notes, Kindle highlights. 100+ integrations via Composio. Everything becomes searchable.
Knowledge matures from draft to proven, and auto-depreciates when stale.
Every feature is an API endpoint. Python and Node SDKs, REST API, MCP server, and works with LangChain, Vercel AI SDK, and CrewAI.
Install the SDK, initialize with your API key, and start adding memories. Your agents get instant retrieval over everything you've saved.
Three steps. Zero configuration. Production-ready in minutes.
Save URLs, paste text, upload PDFs, images, or audio. Push via API, MCP, or 100+ integrations.
Content is embedded, conflict-checked, and scored. Knowledge gets a maturity lifecycle and Q-value utility score.
Query with natural language. Q-value ranking surfaces your most useful knowledge first — 80-98% token savings.
Connect your tools and content flows. Ricord ingests from 12+ sources and exposes your knowledge via MCP, REST API, and native SDKs.
From solo builders to AI teams shipping production agents.
Finally, a memory layer that actually works. Our agents went from forgetting context every session to having perfect recall across thousands of conversations.
94% on LongMemEval isn't marketing fluff — we validated it ourselves. Mem0 gave us 49%. Ricord is the real deal for production agent memory.
Set up the MCP server in 2 minutes. Now Claude Code remembers my entire codebase context, preferences, and project decisions across sessions.
No credit card required. Upgrade when you need more.
For personal use
Save $48/yr
For power users
Save $120/yr
For organizations
Everything you need to know before getting started.
Ricord scores 94.2% on LongMemEval — the industry standard benchmark for conversational memory. Mem0 scores 49%, Zep scores 63.8%. We also include a knowledge graph, conflict resolution, and temporal queries that competitors don't offer. See our comparison page for the full breakdown.
No. The free tier gives you 1,000 memories with full API access, no credit card required. You can upgrade to Pro ($19/mo) anytime from your dashboard.
Under 2 minutes. Install the SDK (pip install ricord or npm install @ricord/sdk), add your API key, and you're storing and retrieving memories. For Claude Code users, just run npx ricord-mcp --setup.
Yes. All data is encrypted at rest and in transit. We use Google Cloud Platform infrastructure with SOC 2-level controls. You can hard-delete any data at any time (GDPR compliant), and we never use your data to train models.
Absolutely. We have native integrations with LangChain, Vercel AI SDK, CrewAI, LlamaIndex, and any OpenAI-compatible setup. Our MCP server works with Claude Code, Cursor, Windsurf, and VS Code.
You'll get a friendly notification when you hit 80% of your limit. Once you reach the cap, write operations pause but you can still read and search your existing memories. Upgrade anytime — no data is lost.
Free to start. Set up in under a minute.