Dike vs Supermemory

Dike and Supermemory are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Dike

Route your OpenAI-compatible traffic through Dike and every prompt, retrieval step, and completion becomes a sealed, cryptographically verifiable audit record — the kind an auditor can check, not just a log you printed yourself. PII is stripped before anything touches storage, flagged responses queue for human sign-off, and when a serious incident fires, Dike opens the Article 73 case and starts the 15-day reporting clock automatically. The gateway is fail-open, so if audit storage goes unreachable, your requests still reach the model. The ceiling appears when your compliance requirements go beyond what a passive proxy can enforce — custom risk-scoring logic, multi-jurisdiction rules, or on-premises data residency all require architecture Dike does not currently offer.

Supermemory

Supermemory wraps memory, retrieval, user profiling, data connectors, and document extraction into one API so your agent doesn't reassemble context from scratch on every request. The retrieval layer claims sub-300ms latency using hybrid search with reranking, and the memory layer maintains a knowledge graph that merges contradictions and evolves facts over time rather than appending chunks blindly. Connectors to Slack, Notion, Drive, Gmail, GitHub, and S3 sync automatically — no ETL pipeline to maintain. The core memory engine is proprietary and hosted-only; self-hosting requires an enterprise agreement, so teams with strict data residency requirements hit a wall before they ship.

Attribute	Dike	Supermemory
Pricing	Paid	Paid
Price	€49/mo	$0 - $399+/mo
Free trial	No	No
Open source	No	Yes
Has API	Yes	Yes
Self-hosted option	No	No
Platforms	Web gateway	Cloud-hosted (SaaS); MCP server; Browser plugins (Chrome); IDE integrations (Claude Code, Cursor, VS Code)
Released	—	2024
Pros	Hash-chained, tamper-evident audit records generated automatically for every call, so when an auditor asks for cryptographic proof that logs were not altered, you export a file instead of defending a claim. PII redacted at the gateway before anything is written to storage, which means GDPR exposure from prompt contents does not accumulate in your audit logs over the legally required 6-month retention window. Article 73 incident reporting opens a case and tracks the 15-day regulatory clock automatically, so serious incidents do not slip past the deadline while your team is still triaging. RAG-specific retrieval logging records which documents the model actually used per response, satisfying the Article 12(2) evidence requirement that a plain chat transcript cannot meet. Fail-open gateway design means an audit storage outage does not take down your production service — requests still reach the model provider, so compliance infrastructure does not become an availability liability.	Knowledge graph memory that merges and contradicts facts across sessions, which means your agent doesn't tell a user something they already corrected two conversations ago. Sub-300ms hybrid search with reranking baked into the retrieval layer, so you avoid building and tuning a separate retrieval pipeline to hit production latency targets. Persistent user profiles that carry preference, behavior, and identity context across sessions, which means a support agent or personalized chatbot doesn't reset its understanding of the user on every ticket. Real-time connectors to Slack, Notion, Drive, Gmail, GitHub, and S3 with automatic sync, so your agent's memory reflects live changes in the tools your users actually work in — no manual import jobs to maintain. Multi-format extraction for PDFs, web pages, images, and audio consolidated into one provider, which means you don't wire together separate parsing services before you can ingest mixed document types.
Cons	No self-hosted deployment option exists; all traffic routes through Dike's hosted infrastructure. Teams whose security policy prohibits third-party proxies on the production inference path, or whose legal team requires data residency guarantees beyond EU-region cloud storage, cannot use Dike without a policy exception — and teams in that position typically move to building the compliance layer in-house or evaluating enterprise gateway vendors that offer on-premises deployment. The gateway is a passive proxy: it redacts, logs, blocks, and routes, but does not evaluate custom compliance rules. Teams needing per-user-role flagging logic, multi-jurisdiction rule sets, or dynamic risk scoring based on response content will reach the proxy's ceiling quickly and find themselves maintaining custom middleware on top of Dike — at which point they are running two systems. Dike is in closed beta at the time of writing; the vendor states teams must join a waitlist. Production availability, SLA commitments, and enterprise support terms are not publicly documented, which makes procurement sign-off harder for teams with formal vendor assessment requirements.	The core memory engine is not self-hostable without an enterprise agreement — teams with data residency requirements or strict policies against sending user memory to a third-party managed service cannot deploy this in production without negotiating a contract first, and most either wait on procurement or replace the memory layer with a self-managed vector store. The knowledge graph and memory update logic are proprietary and closed; when retrieval behaves unexpectedly — returning stale facts or failing to surface a contradiction — there is no source code to inspect. Teams debugging production retrieval issues work from API responses and vendor support, not from the system itself. The free tier is capped at defined token and query limits, meaning a team validating the tool at scale will exhaust the free tier before they have enough production data to make a confident architecture decision — at which point cost exposure begins before the build is complete. Agent frameworks that manage their own memory or context windows require explicit integration work to hand off to Supermemory rather than their native store; teams already deep in a framework with memory primitives — LangGraph, for example — often find the integration layer adds complexity that exceeds the benefit for their specific architecture and abandon Supermemory in favor of the framework's native memory tooling.

Bottom line

Supermemory is open source; Dike runs on Web gateway; Supermemory on Cloud-hosted (SaaS); MCP server; Browser plugins (Chrome); IDE integrations (Claude Code, Cursor, VS Code). Pick the difference that actually blocks you.

Frequently asked questions

What is the difference between Dike and Supermemory?

Dike is Paid, while Supermemory is Paid and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Dike better than Supermemory?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.