Developer Tools / AI/LLM Infrastructure
Headroom is an open-source context compression layer for AI agents. It compresses tool outputs, logs, files, RAG chunks, and conversation history before they reach the LLM, with support for a library, proxy, and MCP server.
The page clearly describes an AI infrastructure project with a specific job: reducing token usage for agent workflows without losing answer quality. The snapshot includes concrete product modes, example commands, supported agent integrations, local-first behavior, reversible compression, and evidence of active development, which is enough for a useful public listing.
The crawl snapshot does not show the full installation steps, API surface, pricing/licensing details beyond the repo license, or independent validation of the claimed token savings on different models and workflows.
Last evaluated 51 days ago. Current rank #135. Holding steady 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.
