Developer Tools / AI / ML Infrastructure
A GitHub repo section documenting a benchmark for Vestige, a local-first Rust MCP memory layer for multi-agent coding fleets. The page explains the benchmark setup, what is being measured, how to reproduce the main claim, and where to find transcripts, evidence, and harness code.
The snapshot shows a real AI-adjacent product/repository with a defined purpose: a local-first Rust MCP server and a benchmark around memory retrieval for multi-agent coding workflows. The page includes enough visible detail for a useful listing, including the benchmark structure, reproduction command, files included, and the kinds of models and tools involved.
This snapshot is centered on one benchmark directory rather than the main project homepage, so a visitor cannot fully tell how Vestige is packaged, installed, or used outside this benchmark. The core product surface, supported environments, and API details are only lightly implied here.
Last evaluated 52 days ago. Current rank #1493. Up 2 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.
