Software Alternatives & Startups

SwiftNodes VS Agentmemory

Compare SwiftNodes VS Agentmemory and see what are their differences

SwiftNodes

Production-grade RPC endpoints for EVM and multi-chain. Flat-rate pricing, pay with crypto or card, instant setup. No KYC required.

Rating
0 reviews
Pricing
Freemium $49 / Monthly
Agentmemory

Persistent memory for Claude Code, Codex & coding agents

No screenshot yet
Rating
0 reviews

Which is more popular?

Web3 Infrastructure popularity
100% vs 0%
alternatives listed
9 vs 50

Base details

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

SwiftNodes
Agentmemory
Website swiftnodes.io agent-memory.dev
Pricing
Freemium $49 / Monthly Official pricing
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Listed in

Features and specs

What each product offers, as listed by its team.

SwiftNodes 5 features
Agentmemory 5 features
  • Fast Performance
    SwiftNodes appears to emphasize speed and reliability in node infrastructure, which can be beneficial for applications requiring low-latency blockchain data access and quick transaction processing.
  • Simplified Node Management
    The service likely reduces the complexity of running and maintaining blockchain nodes, allowing developers to focus on building applications rather than infrastructure management.
  • Scalability
    As a node infrastructure provider, SwiftNodes may offer scalable solutions that can grow with user demand without requiring significant upfront investment in hardware.
  • Multi-chain Support
    If SwiftNodes supports multiple blockchain networks, this provides flexibility for developers working across different ecosystems without needing separate node providers.
  • Cost Efficiency
    Using a managed node service can be more cost-effective than running and maintaining your own node infrastructure, especially for smaller projects or startups.
  • Simple API
    Agentmemory provides a straightforward and minimal API for creating, searching, updating, and deleting memories, making it easy for developers to integrate memory capabilities into AI agents without dealing with complex configurations.
  • Built on ChromaDB
    It leverages ChromaDB as its underlying vector database, providing reliable semantic search and embedding capabilities out of the box without requiring developers to set up separate infrastructure.
  • Lightweight and Easy to Install
    Agentmemory is a lightweight Python package that can be installed via pip with minimal dependencies, making it quick to get started with and easy to incorporate into existing projects.
  • Category-Based Memory Organization
    Memories can be organized into categories (topics), allowing agents to store and retrieve information in a structured way, which helps with context management and retrieval accuracy.
  • No Server Required
    Agentmemory can run entirely locally without needing a separate server or cloud service, making it suitable for development, prototyping, and privacy-sensitive applications where data should stay on the local machine.

Possible disadvantages

  • Limited Ecosystem and Community
    Agentmemory is a relatively niche and small project with a limited community compared to more established memory and vector database solutions, which means fewer resources, tutorials, and community support are available.
  • Basic Feature Set
    While simplicity is a strength, the library may lack advanced features such as sophisticated memory consolidation, decay mechanisms, importance scoring, or complex querying capabilities that more mature memory frameworks offer.
  • Tight Coupling to ChromaDB
    Being built specifically on ChromaDB means developers are locked into that particular vector store and cannot easily swap it out for alternatives like Pinecone, Weaviate, or FAISS without significant refactoring.
  • Limited Scalability
    As a locally-run, lightweight solution, Agentmemory may not scale well for production applications that require handling large volumes of memories, high concurrency, or distributed deployments.
  • Sparse Documentation and Examples
    The project's documentation, while covering the basics, may lack comprehensive examples, best practices, and advanced usage patterns that developers need when building complex agent-based systems.

Analysis

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

SwiftNodes
Agentmemory

No analysis of SwiftNodes yet.

Overall verdict

  • AgentMemory (agent-memory.dev) appears to be a solid, purpose-built solution for developers who need persistent memory management in AI agent applications, offering a focused feature set for storing, retrieving, and managing contextual data across agent sessions.

Why this product is good

  • Provides dedicated memory persistence for AI agents, enabling context retention across sessions and conversations
  • Designed specifically for the agentic AI use case, which can simplify development compared to building custom memory layers
  • Likely offers developer-friendly APIs and SDKs to integrate memory capabilities quickly
  • Can improve agent performance by allowing recall of past interactions, user preferences, and long-term context
  • Reduces boilerplate work for teams building conversational or autonomous AI systems

Recommended for

  • Developers building AI agents or LLM-powered applications that require long-term memory
  • Teams creating conversational assistants that need to remember user context across sessions
  • Startups and companies prototyping autonomous or multi-step agent workflows
  • Engineers seeking a managed memory layer instead of building persistence infrastructure from scratch
  • Projects involving personalized AI experiences that depend on retained user data and history

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
SwiftNodes
Agentmemory
100% 100%
0% 0%
0% 0%
AI
100% 100%
18% 18%
82% 82%
100% 100%
0% 0%

Questions & Answers

As answered by people managing SwiftNodes and Agentmemory.

How would you describe the primary audience of your product?

SwiftNodes's answer

Developers and small teams building things that talk to blockchains continuously — dapps, trading and monitoring bots, indexers, analytics pipelines, and wallets. The typical SwiftNodes user has outgrown rate-limited public endpoints but doesn't want per-request metered billing or the overhead of running their own nodes.

Three groups show up most: multi-chain builders who'd otherwise need separate providers for EVM chains, Solana, Cosmos, and the Bitcoin family; cost-sensitive teams with heavy request volume (indexing, archive queries, tracing) who benefit from flat-rate pricing; and crypto-native developers who prefer wallet-based signup, no KYC, and paying in crypto. It's a developer-first product — the audience is people comfortable with JSON-RPC and API keys, not no-code users.

What's the story behind your product?

SwiftNodes's answer

SwiftNodes started the way a lot of infrastructure companies do: a developer running nodes for their own projects, and getting steadily more frustrated with the alternatives. Public endpoints were rate-limited and unreliable; commercial providers meant deciphering "compute unit" pricing that made a monthly bill unguessable, juggling separate accounts for EVM chains, Solana, and Bitcoin-family networks, and completing KYC just to make JSON-RPC calls.

The infrastructure already existed for internal use — so it became a product, built around the three things that were missing: one flat monthly price instead of metered billing, one API key across every chain we could serve well (now 75+, including the non-EVM networks most providers skip), and signup without friction — no KYC, wallet or email login, card or crypto payment.

SwiftNodes is bootstrapped and independent — no venture funding — which is also why the pricing model is what it is: predictable revenue from predictable bills, and an incentive to keep the service worth renewing every month rather than to maximize metered usage. The same team that operates the nodes writes a daily engineering blog about running them, and that operational honesty is the brand.

What makes your product unique?

SwiftNodes's answer

SwiftNodes is a blockchain RPC provider built around flat-rate pricing: one predictable monthly price instead of the compute-unit or API-credit metering that Alchemy, Infura, and QuickNode use — so a heavy month never produces a surprise bill. One API key covers 75+ networks, including chains most providers skip: alongside the standard EVM set (Ethereum, Base, Arbitrum, Polygon, BSC…) it serves Solana, Cosmos-ecosystem chains, Polkadot, Sui, Aptos, TRON, Starknet, and the Bitcoin family — with a unified address/UTXO/xpub API for Bitcoin, Litecoin, and Dogecoin that daemon-only providers don't offer.

Every chain includes both HTTP and WebSocket endpoints, and archive access is included on all paid plans rather than sold as a separate tier. Signup requires no KYC at any level — email or wallet login — and both card and crypto payments (ETH, BNB, USDT, USDC) are accepted. There's a permanent free tier (250k requests/month, no credit card) and even keyless access for quick testing.

Why should a person choose your product over its competitors?

SwiftNodes's answer

Predictable cost. Metered providers make you model "compute units" per method to guess your bill, and heavy workloads (traces, log queries, indexers) get expensive fast. SwiftNodes charges a flat monthly rate per plan — the price you see is the bill you get, at any request mix. For trace-heavy or high-volume workloads this is dramatically cheaper; for light workloads the free tier covers it.

One provider instead of four. Multi-chain projects usually end up juggling separate accounts for EVM chains, Solana, Cosmos, and Bitcoin-family networks. SwiftNodes puts 75+ chains — EVM and non-EVM — behind one API key, with WebSocket on every chain, archive access included on paid plans, and an address/UTXO API for the Bitcoin family.

Low-friction signup. No KYC at any tier, email or wallet login, pay by card or crypto. Developers who can't or won't complete corporate KYC flows — or who simply want an endpoint working in under a minute — can do that here.

Where competitors win: if you need Alchemy's NFT APIs and webhooks or QuickNode's marketplace add-ons, those are real advantages SwiftNodes doesn't claim to match. For the core job — fast, reliable RPC and WebSocket across many chains at a predictable price — that's exactly what SwiftNodes is built for.

Which are the primary technologies used for building your product?

SwiftNodes's answer

The serving layer is Node.js + TypeScript: a Fastify-based RPC proxy fleet behind nginx load balancing, with MongoDB for configuration/accounts and Redis for API-key caching and distributed rate limiting. The proxy handles per-request upstream failover, health and freshness checking, and WebSocket proxying with undici connection pooling.

The website and dashboard are Next.js + React + Tailwind CSS, server-rendered for the docs/marketing surface with a client-side dashboard for key management, usage, and billing (Stripe for card payments, on-chain smart contracts for crypto subscriptions).

Under that sits self-operated blockchain infrastructure on dedicated servers: Geth + Lighthouse for Ethereum, Bitcoin Core / Litecoin / Dogecoin daemons with Trezor's Blockbook providing the address-index APIs for the UTXO chains, all run under systemd with pm2 managing the Node services.

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