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APIMart vs Supermemory

Bottom line

APIMart is paid, while Supermemory has a free plan plus paid upgrades. Supermemory is open source and APIMart is not.

Which one should you try?

APIMart

Paid

Best for Development teams using multiple AI models

Visit APIMart See full review

Supermemory

Freemium

Best for Development teams building production AI agents

Visit Supermemory See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

APIMart

APIMart

APIMart is a paid API gateway that routes requests to 500-plus models — including chat, image, video, and audio — through one OpenAI-compatible interface, with discounts the vendor states range from 30 to 70 percent off official provider pricing. You swap one base URL and keep your existing SDK. The catalog spans OpenAI, Anthropic, Google, ByteDance, Qwen, Kimi, and MiniMax, so switching between providers is a config change, not a refactor. The ceiling shows up when you need call-level control: APIMart is a passive gateway, not an orchestrator, so any branching logic, retries, or fallback chains live entirely in your own code. Teams building complex multi-step pipelines maintain that routing layer themselves.

Supermemory

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.

AttributeAPIMartSupermemory
PricingPaidFreemium
Price—$0 - $399+/mo
Pricing checkedNot checked yetNov 4, 2026
Free trialNot statedNot stated
Open sourceNoYes
Has APIYesYes
Self-hosted optionNoNo
PlatformsCloud-based API serviceCloud-hosted (SaaS); MCP server; Browser plugins (Chrome); IDE integrations (Claude Code, Cursor, VS Code)
Released—2024
Pros
  • OpenAI-compatible API surface, which means your existing SDK code reaches the full 500-plus model catalog by changing one base URL — no per-provider SDK migrations when you add a new model.
  • Per-model discount pricing displayed transparently in the marketplace, so you can calculate actual cost before committing to a model in production rather than discovering the bill after a spike.
  • Single API key covers chat, image, video, and audio providers, which means you stop maintaining separate credentials and billing accounts for each vendor and reduce the blast radius when a key rotates.
  • The docs provide an llms.txt prompt so AI coding agents like Cursor or Claude can instantly understand the full APIMart endpoint catalog, cutting integration time from hours to minutes for developers using AI-assisted workflows.
  • Usage-based billing where you pay only for successful requests, so failed or errored calls do not consume budget — a material difference when you are stress-testing a new model with high failure rates.
  • 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
  • APIMart is a passive relay: it does not retry failed requests, fall back to an alternative model when a provider returns an error, or route based on latency or cost thresholds. Teams that need gateway-level resilience write and maintain that logic themselves — at which point they are running two systems.
  • No self-hosted deployment option exists. Teams operating under data-residency or compliance requirements that prohibit third-party intermediaries handling request payloads cannot use APIMart at all and switch to a self-hostable alternative like LiteLLM.
  • The discount model is a paid-only service with no documented free tier. Prototyping before committing budget requires a sign-up and funding the account, which adds friction for early-stage evaluation compared to providers offering free trial credits.
  • 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.

Made up your mind?

APIMart

Paid

Best for Development teams using multiple AI models

Visit APIMart See full review

Supermemory

Freemium

Best for Development teams building production AI agents

Visit Supermemory See full review

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Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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