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Inference Cooperative vs Ryph

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Inference Cooperative compared with Ryph
DetailInference Cooperative logo Inference CooperativeRyph logo Ryph
What it doesMember-governed cooperative for AI inference Open-source AI agent orchestration platform for incident response and automation
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Open source
PricingDues: sliding scale starting at $5/month. All members receive $15/month credit for chat and API. Additional credits available for purchase; credits never expire and carry over month to month. Not given
Key features
  • Web search built into chat
  • File uploads and document support
  • OpenAI-compatible developer API
  • Personal API keys
  • Encrypted enclave privacy option
  • 100% renewable energy option
  • Member governance participation
  • Shared monthly credit allowance
  • Publicly developed models
  • Incident response with agent investigation and pull request generation
  • Automated workflows triggered on schedules or webhooks
  • Agent summoning from GitHub, GitLab and Radicle with /ryph command
  • Semantic memory system for shared and persistent agent learning
  • Credentials kept behind gateways with no access in sandbox
  • Customized environments per repository with cached dependencies
  • Browser use for agent interactions with live watching
  • Artifacts and pages for reports and overviews
  • Deployment options from laptop to Kubernetes
  • Tool proxy with allowlisted MCP server integrations
What makes it different
  • Member-governed cooperative structure where users help decide the direction and choices
  • Equal membership with sliding-scale pricing based on ability to pay
  • Choice of AI models by values including privacy and renewable energy
  • No data lock-in; members own their data and can cancel anytime
  • Credits never expire and carry over month to month
  • Agents work without holding real credentials or keys
  • Changes ship as patches that require review before merge
  • Runs on your own infrastructure from laptop to cloud
  • Semantic memory learns across runs with deduplication and contradiction handling
  • Built-in safety assuming agents can be manipulated or exploited
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)12 −2 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)60
Citation Flow (Majestic)150
Referring domains (Majestic)220

4 details filled in for both companies.

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