AI decision catalogue

Decision Briefs for teams. Context Packs for agents.

Choose the right model, agent, or language before you commit. Use cost profiles, efficiency signals, and compact memory to choose faster and operate cheaper.

Get a Decision Brief → Browse catalogue

Describe your task, then hand the result straight to an agent with the same reasoning and tradeoffs.

✓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