Developer Tools / Prompt Engineering
A lightweight Markdown variant designed to reduce token usage for LLM consumption using single-character markers and context-aware parsing.
The page clearly describes an AI-adjacent developer project with a specific goal: a Markdown-like language optimized for LLM consumption. The README includes the problem statement, design principles, syntax reference, parsing rules, examples, and a comparison against traditional Markdown, which is enough for a useful directory listing.
The snapshot does not show an actual parser release, install instructions, package metadata, or usage examples beyond the spec. It is also unclear how complete the implementation is or what environments it supports.
Last evaluated 4 days ago. Current rank #1685. Up 6 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
