AI tools

Use CacheSphere as a small grounding layer for agents and internal tools. Fetch JSON once, cache it locally, and link humans back to detail pages.

Agent entrypoints

Flow: fetch the entrypoint manifest, select packs from the index, then fetch only the packs that match your task.

Primary dataset

GET /api/languages.json returns 134 language entries with descriptions, use cases, snippets, tips, and docs_url links.

Context Packs

Context Packs are the agent-facing shortcut when a task needs implementation memory, not the full catalogue.

Other JSON files

Optional API server endpoints

If the Node API server is running, these routes are available. Static mirrors should use the JSON above.

Decision Brief shape

The Decision Brief schema is for a compact answer copied into an ADR, issue, or agent handoff: recommendation, alternatives, warnings, evidence links, and Markdown.

Benchmark harness

The first token-cost pilot in /benchmarks/ publishes the plan, fixtures, and result schema. It does not publish measured token-savings results yet.

Useful fields

Integration sketch

const entrypoints = await fetch('/api/agent-entrypoints.json').then(r => r.json());
const index = await fetch(entrypoints.entrypoints.contextPackIndex).then(r => r.json());
const compactPack = await fetch('/api/context-packs/agent-memory-compact.json').then(r => r.json());

return {
  packId: compactPack.id,
  title: compactPack.title,
  summary: compactPack.summary,
  nextSteps: compactPack.agentUse.whenToUse
};

Good use

Attribution

CacheSphere is MIT licensed. If a tool quotes or summarizes the catalogue in user-facing output, cite CacheSphere and link to docs_url or the relevant deployed page.

← Back to home