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Mem0 VS GraphPilot

Compare Mem0 VS GraphPilot and see what are their differences

Mem0

Your private, local memory layer for all AI tools

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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.

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Rating
0 reviews
Pricing
Freemium €149 / Monthly (Jet plan, 500K request units/mo, excl. VAT)
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Alternatives Is it good?
Tempreon
A personal memory layer for your AI tools, connected over MCP. sponsored

Which is more popular?

Based on our record, Mem0 seems to be more popular. It has been mentioned 3 times since March 2021.

social mentions
3 vs 0
Developer Tools popularity
100% vs 0%
alternatives listed
181 vs 1

Base details

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

Mem0
GraphPilot
Website mem0.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 the United States Startup from Germany · 1 - 9 employees · 2026
Listed in
AI Developer Tools AI Tools Productivity +1
GraphQL Content Distribution CDN Caching API Tools Developer Tools API Web Application Security +5

About Mem0 and GraphPilot

In their own words, as submitted to SaaSHub.

Mem0
GraphPilot

No description of Mem0 yet.

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.

Mem0 5 features
GraphPilot 16 features
  • Easy Accessibility
    OpenMemory MCP offers a user-friendly interface that makes it easy for users to access and utilize its features without a steep learning curve.
  • Integration Capabilities
    It integrates smoothly with various platforms and systems, allowing users to seamlessly incorporate it into their existing workflows.
  • Cost-Effective
    The platform provides a cost-effective solution for managing memory processes, making it an attractive option for businesses looking to optimize expenses.
  • Community Support
    Having a strong community support network, users can benefit from shared knowledge, resources, and troubleshooting assistance.
  • Customizable Features
    OpenMemory MCP allows for a high degree of customization, enabling users to tailor the platform to suit their specific needs and requirements.
  • 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.

Mem0
GraphPilot

Overall verdict

  • OpenMemory MCP by mem0.ai is a solid, developer-friendly solution for adding persistent, portable memory to AI applications, offering a standardized way to store and share context across LLM tools while keeping data local and private.

Why this product is good

  • Provides a persistent memory layer so AI assistants can remember context across sessions and conversations
  • Built on the Model Context Protocol (MCP), making it interoperable with a wide range of MCP-compatible clients like Claude, Cursor, and Windsurf
  • Emphasizes privacy and data ownership by allowing memories to be stored locally rather than in the cloud
  • Enables memory portability, so context can be shared seamlessly across different AI tools and applications
  • Open-source and backed by the popular mem0 ecosystem, benefiting from an active community and ongoing development
  • Reduces repetitive context-setting, improving efficiency and user experience in AI workflows

Recommended for

  • Developers building AI agents or assistants that need long-term, persistent memory
  • Users of multiple MCP-compatible tools who want shared context across their AI stack
  • Privacy-conscious individuals and teams who prefer local storage of their AI memory data
  • Startups and teams prototyping personalized or context-aware AI applications
  • Power users of tools like Claude Desktop, Cursor, or Windsurf seeking a unified memory layer

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
Mem0
GraphPilot
100% 100%
Developer Tools
0% 0%
0% 0%
Web Application Security
100% 100%
100% 100%
AI
0% 0%
0% 0%
API
100% 100%

Questions & Answers

As answered by people managing Mem0 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 Mem0 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.

Mem0 3 mentions
GraphPilot 0 mentions
  • How I Self-Hosted a Mem0 Memory Stack (So My AI Agent Remembers)
    An AI agent that forgets everything between conversations is a tool you have To reintroduce yourself to every session. My AI assistant (the one that runs This very blog's workflow) used to start each chat from zero — until I gave it a... - Source: dev.to / 17 days ago
  • 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
  • Best MCP Memory Servers for Teams in 2026: Context Cloud vs mem0 vs Basic Memory vs claude-mem vs MemPalace
    Mem0 is probably the most mature cloud-hosted memory option. Good semantic search, clean API, supports multiple LLM providers. The cloud dashboard is solid for browsing stored memories. - Source: dev.to / 5 months ago

Tracking GraphPilot since Nov 2026.

Alternatives to Mem0 and GraphPilot

When comparing Mem0 and GraphPilot, you can also consider the following products.

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