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 just now. Current rank #12. 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.
Claude Code plugin that blocks dependency edits until a fresh, source-cited version check is recorded, helping prevent hallucinated or stale package versions across npm, pip, Poetry/uv, Cargo, and NuGet.
An OWASP incubator project that protects AI agent memory from prompt injection, secret leakage, and tampering. It includes a Python library, policy-based controls, benchmarks, and integrations for agent frameworks like LangChain and AutoGen.
CLI for catching AI-generated code smells and regressions in code. It scans changes with 40+ rules across 7 languages, offers fixes, CI gating, hooks, and MCP tools.
