Results for “leaderboard”

Measure and improve the token-efficiency of agent-facing APIs (OpenAPI & MCP): a scorer, linter, the LAP profile, and a

Compression with a quality contract — cache-aware, causally-pruned LLM context compression for agentic runtimes, certifi

Git-first memory for AI agents: Markdown files are truth, the index is disposable, writes are reviewable commits.

Multi-agent code review mesh — orchestrates AI agents from multiple providers to review code in parallel, cross-review e

MCP server that scores text and landing-page copy for AI-writing style tells. Deterministic, offline, no LLM call, no ne