Software Alternatives & Startups

Supermemory VS GraphPilot

Compare Supermemory VS GraphPilot and see what are their differences

Supermemory

Memory and continual learning for agents

No screenshot yet
Rating
0 reviews
GraphPilot

GraphPilot is a managed edge cache for GraphQL and plain HTTP APIs that purges cached responses automatically when a GraphQL mutation returns an object they contain.

No screenshot yet
Rating
0 reviews
Pricing
Freemium €149 / Monthly (Jet plan, 500K request units/mo, excl. VAT)

Which is more popular?

Based on our record, Supermemory seems to be more popular. It has been mentioned 4 times since March 2021.

social mentions
4 vs 0
AI popularity
100% vs 0%
alternatives listed
207 vs 1

Base details

Website, pricing, platforms and company facts side by side.

S
Supermemory
GraphPilot
Website supermemory.ai graphpilot.io
Pricing —
Freemium €149 / Monthly (Jet plan, 500K request units/mo, excl. VAT) Official pricing
Platforms —
Web SaaS MacOS Linux Windows +2
Company — Startup from Germany · 1 - 9 employees · 2026
Listed in

About Supermemory and GraphPilot

In their own words, as submitted to SaaSHub.

S
Supermemory
GraphPilot

Agents need memory. supermemory is building the default engine for memory and continual learning for agents, available through an API, plugins, and MCP. Memory that keeps learning. supermemory extracts and dreams on the context of every user, task, and tenant, stores it in a vector-graph...

Read more about Supermemory

GraphPilot is a managed edge cache for GraphQL APIs and plain HTTP endpoints. It takes read traffic off your origin, answers cached requests from the edge in milliseconds, and clears cached responses automatically when your data changes. How it works Schema-driven caching: GraphPilot reads your...

Read more about GraphPilot

Features and specs

What each product offers, as listed by its team.

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Supermemory 0 features
GraphPilot 16 features

No features have been listed yet.

  • Edge caching for GraphQL
    Caches GraphQL queries over GET, POST and QUERY at the edge, keyed by query text, operation name and variables
  • Plain HTTP and REST caching
    Caches any HTTP API based on your origin's Cache-Control headers
  • Schema-driven cache keys
    Reads your schema and adds key fields to queries, so every cached response knows which objects it contains
  • Automatic invalidation
    Purges cached responses that contain an object when a GraphQL mutation returns it
  • Custom and composite keys
    @surrogateKey for custom and composite keys, with support for interfaces and unions
  • Purge API and CLI
    Purge by key, cache key, request id or query hash, hard or soft, via API, the gpilot CLI or the Cockpit
  • Cache partitioning
    Separate cache entries per user, organization, locale or verified JWT claim
  • Request collapsing
    Concurrent identical requests share one origin fetch per edge location
  • Persisted queries
    Persisted queries and trusted documents
  • Edge security
    JWT and API key verification, request signing, query depth and document size limits, introspection blocked by default
  • Cockpit insights
    Per-request telemetry for hit rate, latency and origin traffic, with a history of purges
  • Federation Support
    Sits in front of your federation router and caches the composed supergraph
  • Origin shielding
    Fewer origin requests through a shield location (paid plans)
  • Global Edge Network
    Runs on Fastly's global edge network
  • Config As Code
    Deploy with gpilot.toml and your schema.graphql
  • Free Plan
    Glider plan, free to start

Analysis

An editorial look at what each product does well and who it suits.

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Supermemory
GraphPilot

Overall verdict

  • Supermemory is a solid tool for building a personal or organizational knowledge base, offering an effective way to save, organize, and retrieve information from across the web using AI-powered search and recall.

Why this product is good

  • AI-powered semantic search lets you retrieve saved content by meaning rather than exact keywords
  • Easily capture bookmarks, articles, tweets, notes, and other web content into a unified knowledge hub
  • Acts as a 'second brain' that helps you connect and rediscover previously saved information
  • Offers integrations and a browser extension for frictionless capture of content
  • Useful for chatting with your own saved knowledge base via an AI interface

Recommended for

  • Researchers and students who collect and reference large amounts of information
  • Content creators and writers who need to organize inspiration and source material
  • Knowledge workers wanting a personal 'second brain' for productivity
  • Developers building AI apps that need a memory or knowledge layer
  • Anyone who bookmarks heavily and struggles to find saved content later

No analysis of GraphPilot yet.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
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Supermemory
GraphPilot
100% 100%
AI
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
API
100% 100%

Questions & Answers

As answered by people managing Supermemory and GraphPilot.

What's the story behind your product?

GraphPilot's answer:

GraphPilot is built by Kay Schecker, a solo founder from Düsseldorf, Germany. Caching GraphQL at the edge is easy to start and hard to get right: most setups end up choosing between short TTLs and purging far too much. GraphPilot was built to use the schema itself as the source of truth for what a response contains, so invalidation can be precise. The slogan says it: "We fly the complexity so you don't have to."

Why should a person choose your product over its competitors?

GraphPilot's answer:

Choose GraphPilot if you want caching that is driven by your schema and invalidation you can verify. Setup is a config file plus your schema, and you are live in minutes. It works with Apollo Server, GraphQL Yoga, PostGraphile and federation routers, and it also caches plain HTTP APIs. It runs on Fastly's global edge network, is built and operated in Germany, and has a free plan (Glider) so you can test it on real traffic before you pay.

What makes your product unique?

GraphPilot's answer:

GraphPilot reads your GraphQL schema and turns it into cache keys. It adds the key fields each query needs, removes them from the response again, and tags every cached response with the objects it contains. When a mutation returns a changed object, GraphPilot purges the responses that contain it, without hand-written cache tags or short TTLs as a safety net. You can see each purge, with its reason, in the Cockpit.

How would you describe the primary audience of your product?

GraphPilot's answer:

Engineering teams running GraphQL in production with read-heavy traffic: e-commerce, marketplaces, content platforms, SaaS dashboards and mobile app backends. Typically a platform or backend team that wants less origin load and lower latency without building and maintaining its own caching and invalidation layer.

Which are the primary technologies used for building your product?

GraphPilot's answer:

The edge runtime is written in Rust and compiled to WebAssembly on Fastly Compute. The platform and API run on TypeScript and PostgreSQL, the Cockpit is built with React, and the CLI (gpilot) is a single Rust binary for macOS, Linux and Windows.

User comments

Share your experience with using Supermemory and GraphPilot. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

S
Supermemory 4 mentions
GraphPilot 0 mentions
  • AI Agentic Memory for beginners.
    This is usually a challenge that any developer has to take care of when building an AI agent. In fact, managing the context is one of the hardest problems when working with AI agents and there are many companies like SuperMemory, Mem0... - Source: dev.to / 3 months ago
  • Building an autonomous Slack agent with OpenCode
    Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good... - Source: dev.to / 5 months ago
  • Build a Real-Time Voice RAG Agent for Your Documentation
    We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come... - Source: dev.to / 6 months ago

View more

Tracking GraphPilot since Nov 2026.

Alternatives to Supermemory and GraphPilot

When comparing Supermemory and GraphPilot, you can also consider the following products.