Developer Tools / AI Coding
A local-first, file-based context and memory system for AI coding assistants. It’s designed to persist decisions, tasks, and learnings across sessions so tools can rehydrate project context instead of starting from scratch.
The page clearly describes an AI-adjacent developer tool with a concrete purpose: persistent context for coding assistants. The README gives enough evidence to understand what it does, how it works, and how to get started, including installation and quick-start commands. It also shows specific workflows like adding tasks, decisions, and learnings, which makes it useful for a public listing.
The snapshot doesn’t show hands-on usage proof beyond README examples, so a visitor can’t tell how polished the CLI is in practice, what platforms are fully supported, or how it compares on reliability to similar context tools.
Last evaluated 128 days ago. Current rank #1105. Down 4 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.
