Developer Tools / AI Models
Google’s Gemma 4 12B is a multimodal model for local and developer-focused AI use, with native audio and vision support, agentic workflows, and broad tooling support.
The page clearly presents a real AI model/product from Google, explains what it does, and gives concrete developer-oriented details: multimodal inputs, local laptop deployment, model size/memory expectations, license, and supported tools and runtimes. It also links to docs, weights, notebooks, and ecosystem integrations, which makes it useful for a public listing.
The snapshot cuts off before the deployment section is finished, so it does not fully show all access, pricing, or runtime details in one place. It also does not provide side-by-side benchmark numbers on the visible page.
Last evaluated 99 days ago. Current rank #80. Down 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.
