Spore

Spore

Spore is a distributed AI platform that lets you run open-weight models on your own macOS, Windows, or Linux hardware, access them remotely via end-to-end encrypted connections, earn credits by serving requests, and tap a distributed network for larger models with an OpenAI-compatible API.

Spore is developer tools software teams evaluate for developer tools. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Free API 70/100
#91 in Developer Tools (91 tools)
Just launched
Data reviewed Aug 28, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Developer Tools

What it does

Developer Tools software for decision-makers comparing workflow fit and alternatives.

Best fit

Developer Tools

Pricing snapshot

Free from $0 /month

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Spore

Spore is a distributed AI network designed to let users run open-weight models on their own hardware and access them from any device through an end-to-end encrypted connection. It supports macOS, Windows, and Linux with a one-click desktop app install, enables on-device inference (powered by llama.cpp), and provides an OpenAI-compatible API for developers. Users can keep models private, optionally serve public requests to earn credits while idle, and spend credits on network models their local hardware cannot run.

Run open-weight models on hardware you already own, reach them from any device, and tap a distributed network when you need more. End-to-end encrypted.

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Key Features

On-device inference

Run models locally on macOS, Windows, or Linux; on-device inference is powered by llama.cpp.

End-to-end encryption

Encrypted end to end for personal and community requests so the server cannot read personal data; community requests are encrypted and anonymized.

Earn credits (Community serving)

Optional community mode lets your idle node process public inference requests to earn credits automatically.

Distributed network access

Tap a distributed network to run models your hardware can't handle; spend credits to access those models.

Open-weight models

Provides a curated set of open-weight models to avoid vendor lock-in.

Developer friendly / OpenAI-compatible API

OpenAI-compatible API lets developers point existing code at Spore (example base_url: https://api.sporeintel.com/api/v1).

One-click installation

Desktop app with one-click setup for macOS, Windows, and Linux, downloadable from the web app.

Pricing

Free Tier Available

Unlimited inference on your own nodes; earn credits by serving community requests; access to community models (Free plan)

Free

$0 /month
  • Unlimited inference on your own nodes
  • Earn credits by serving community requests
  • Access to all community models
  • Community support

Pro

$10 /month
  • Everything in Free
  • First 10,000 credits of usage free every month
  • 5% bonus credits on every top-up
  • Auto top-up when your balance runs low (soon)

Use Cases

Private remote access to local models

Run models on your own hardware and reach them from any device over an end-to-end encrypted connection so data remains private.

Passive earning from idle hardware

Enable community serving to let your node process public inference requests while idle and accumulate credits automatically.

Scale to larger models via the network

When a model is too large for local hardware, spend accumulated credits to run it across the distributed network.

Developer integration with minimal changes

Use the OpenAI-compatible API to point existing applications at Spore without significant code rewrites.

Integrations

OpenAI-compatible API

Allows developers to point existing OpenAI-based code at Spore by swapping the base URL (example: https://api.sporeintel.com/api/v1).

llama.cpp

On-device inference is powered by llama.cpp.

Benefits

Keep models and prompts private with real end-to-end cryptographic encryption.
Reduce cloud AI costs by running models on existing hardware and only spending credits for larger models.
Earn credits passively by serving community requests while your machine is idle.

Limitations

Local hardware may be unable to run certain larger models; the platform requires spending credits to access those models on the network.
Some features are listed as coming soon (for example, auto top-up), indicating feature parity or functionality may change.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Step 1: Install the desktop app — one-click setup for macOS, Windows, or Linux; download from the web app.
  2. 2 Step 2: Run your models — choose and host models on your hardware and chat with them from any device.
  3. 3 Step 3: (Optional) Earn while idle — enable community serving so your node processes public requests and accrues credits.
  4. 4 Step 4: Tap the network — spend credits to access models on the distributed network that your hardware can't run.

Support

docs

Documentation available via the site 'Docs' link.

community support

Community support is mentioned as included for the Free tier.

API

Available: Yes
Documentation:

OpenAI-compatible API; example client code shows base_url set to 'https://api.sporeintel.com/api/v1'.

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