AI decision catalogue

Choose the right model, agent, or language — with evidence, not guesswork

Browse the catalogue, compare tradeoffs, and get decision support before you commit to a model, agent, language, or workflow.

Get a Decision Brief → Browse catalogue

Start from a catalogue record or describe a task — Advisor uses the same catalogue either way.

✓Decision Brief with tradeoffs ✓Structured handoff for agents ✓Open JSON + MCP
5 catalogue layers 140 languages 9 agent context sets
Using an agent? Open JSON and MCP entrypoints on the For agents page. Agent integration →

Use CacheSphere in three steps

1. Browse the catalogue

Open languages, models, agents, companies, or benchmarks — each record links tradeoffs, evidence, and next steps.

2. Decide with Advisor or Compare

Get a Decision Brief with confidence and caveats, or use Compare when you need a side-by-side language check.

3. Hand off structured context

Export a structured handoff so agents inherit the same reasoning — see For agents for MCP and endpoints.

Choose your path

Catalogue Languages, models, agents, companies, and benchmarks in one browseable catalogue. Advisor Pressure-test a model, agent, language, or stack choice before you commit. Compare Put two languages next to each other with examples and tradeoffs before you commit. Proof See how agent context is benchmarked — measured evidence, not marketing claims. For agents JSON, MCP, and structured handoff endpoints for assistants and automation.

Free and self-hostable today — MIT-licensed catalogue and open JSON. Proof status · Pricing