# Tools > Every listed resource, editors’ picks first. The filters below can be combined. - Search: append `?q=` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README. - Filter by type: append `?type=` to the URL. - Filter by profession: append `?profession=` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions - Filter by tag: append `?tag=` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags Resources for Full-stack / Indie or DevOps / SRE, Tagged `llm`: 31 items. > - Full-stack / Indie: General software work: coding-agent workflows, code review, debugging and Git collaboration. > - DevOps / SRE: Deployment, monitoring, cloud resources and reliability. - [Ollama](https://hebbmind.com/de/cli/ollama.md): [CLI] Download and run open models such as Gemma locally with one command. Provides a REST API and Python/JS libraries, and ollama launch can point Claude Code, Codex and other agents at local models. - [OpenCode](https://hebbmind.com/de/cli/opencode.md): [CLI] Open-source terminal coding agent that switches freely between model providers. Includes a build agent that edits code, a read-only plan agent for analysis, subagents, and a desktop app. Formerly sst/opencode. - [Claude API](https://hebbmind.com/de/skill/claude-api.md): [Skill] Reference for the Claude API and Anthropic SDK: model selection and pricing, streaming, tool use, prompt caching, Managed Agents and more, plus workflows for model migration and prompt audits. Official Anthropic skill. - [Agent SDK Dev](https://hebbmind.com/de/plugin/agent-sdk-dev.md): [Plugin] Scaffolds a Claude Agent SDK project in Python or TypeScript interactively with /new-sdk-app, then a verifier agent checks dependencies, config and code against official best practices. Maintained by Anthropic. - [llama.cpp](https://hebbmind.com/de/cli/llama-cpp.md): [CLI] Local LLM inference engine in plain C/C++ with a command-line chat and an OpenAI-compatible HTTP server; pulls and runs GGUF models straight from Hugging Face. Supports Apple Silicon, CUDA, Vulkan and other hardware, plus low-bit quantization. - [Gemini CLI](https://hebbmind.com/de/cli/gemini-cli.md): [CLI] Google's official open-source terminal agent using Gemini models with a 1M-token context. Built-in Google Search, file and shell tools, plus MCP support. Personal Google accounts get a free quota. - [vLLM](https://hebbmind.com/de/cli/vllm.md): [CLI] High-throughput LLM inference and serving engine: vllm serve starts an OpenAI- and Anthropic-compatible server in one command. Supports 200+ model architectures from Hugging Face, quantization and distributed inference. Aimed mainly at NVIDIA, AMD and other GPUs. - [Sequential Thinking MCP Server](https://hebbmind.com/de/mcp/sequentialthinking.md): [MCP] Provides a sequential_thinking tool that guides the model to break complex problems into revisable, branching steps. Good for planning, analysis and tasks that need careful iteration. Official MCP reference server. - [Aider](https://hebbmind.com/de/cli/aider.md): [CLI] AI pair programming in your terminal: builds a repo map of the whole codebase, auto-commits changes to git, works with Claude, DeepSeek, OpenAI and almost any other model including local ones, and can run lint and tests after edits. - [Open Code Review](https://hebbmind.com/de/cli/open-code-review.md): [CLI] Alibaba's open-source AI code review CLI (ocr): a deterministic pass filters and groups files and matches rules, then an agent reads the context and writes line-level comments; ocr scan reviews a whole directory. Needs an LLM endpoint, or delegate mode to hand off to your coding agent. - [Fabric](https://hebbmind.com/de/cli/fabric.md): [CLI] Turns common prompts such as summarizing, extracting insights and rewriting into reusable patterns you pipe text, web pages or YouTube transcripts through, using many model providers or local Ollama. Can also run as a REST API. Run fabric --setup first to configure models. - [llmfit](https://hebbmind.com/de/cli/llmfit.md): [CLI] Detects your CPU, memory and GPU and scores open models on whether they run, speed, quality and context, then works with local runtimes like Ollama, llama.cpp and MLX to download and benchmark them. recommend --json gives agent-friendly output. - [Claude Code Router](https://hebbmind.com/de/cli/claude-code-router.md): [CLI] Local model gateway that routes requests from Claude Code, Codex and other coding agents to providers like DeepSeek, Kimi, Gemini and OpenRouter, with failover, rule-based routing and request logs. Bring your own API keys. - [Repomix](https://hebbmind.com/de/cli/repomix.md): [CLI] Packs a whole repository into a single AI-friendly file (XML, Markdown, JSON or plain text) with per-file token counts, automatically excludes files containing secrets, and can compress code with Tree-sitter or pack remote GitHub repos directly. - [Qwen Code](https://hebbmind.com/de/cli/qwen-code.md): [CLI] Open-source terminal coding agent from Alibaba's Qwen team with subagents, auto memory, skills and MCP. Works with Qwen, OpenAI, Anthropic, Gemini and other APIs or local models, with IDE plugins and a headless mode (qwen -p). - [Prompt Master](https://hebbmind.com/de/skill/prompt-master.md): [Skill] Writes precise prompts for a specific AI tool: identifies the target tool, extracts your intent, asks at most three questions if details are missing, then outputs a lean, paste-ready prompt. Covers dozens of tools including ChatGPT, Claude Code, Cursor, Midjourney and Sora. - [PAL MCP](https://hebbmind.com/de/mcp/pal-mcp-server.md): [MCP] Lets Claude Code, Codex and other agents call Gemini, GPT, Ollama and other models to collaborate on code review, debugging, planning and multi-model consensus, and can bridge to other CLI agents. Configure at least one provider (API key or local Ollama). Formerly Zen MCP. - [kubectl-ai](https://hebbmind.com/de/cli/kubectl-ai.md): [CLI] Manage Kubernetes clusters in natural language: translates intent into kubectl operations and runs them, and can serve as an MCP server for other agents. Uses Gemini by default (API key required) and also supports OpenAI and local models. Maintained by Google Cloud. - [OpenAI Developers](https://hebbmind.com/de/plugin/openai-developers.md): [Plugin] Build with OpenAI best practices inside Codex: call the OpenAI API, build and deploy agents with the Agents SDK, create ChatGPT apps and prepare submission materials, and create API keys directly. Maintained by OpenAI; Codex only. - [ZCF (Zero-Config Code Flow)](https://hebbmind.com/de/cli/zcf.md): [CLI] Zero-config CLI that sets up Claude Code and Codex in one go: an interactive menu handles installation, workflow imports, API and CCR proxy setup and common MCP servers, with model provider presets and bilingual English/Chinese configuration. - [LM Studio CLI (lms)](https://hebbmind.com/de/cli/lms.md): [CLI] LM Studio's official CLI: list, load and unload local models, start and stop the local API server, and check status and logs; ls, ps and other commands support --json output for scripts and agents. Requires the LM Studio desktop app. - [Mistral Vibe](https://hebbmind.com/de/cli/mistral-vibe.md): [CLI] Mistral's official open-source terminal coding assistant: uses Mistral models to read and write code, run commands and search the codebase, with multiple agent profiles and subagents, plus Skills, MCP and a --prompt scripting mode. Needs a Mistral API key. - [Gemini API Dev](https://hebbmind.com/de/skill/gemini-api-dev.md): [Skill] Teaches agents to code against the latest Gemini API and Python/TypeScript SDKs: multi-turn chat, function calling, structured output, and image and speech generation, while avoiding deprecated older models. Maintained by Google's Gemini team. - [Gemini Skills](https://hebbmind.com/de/skill/gemini-skills.md): [Skill] Gemini API development skills: gemini-api-dev (core API and SDKs), gemini-live-api-dev (real-time bidirectional audio/video streaming) and gemini-omni-flash-api (Omni video generation and editing), filling in APIs released after model training cutoffs. Maintained by Google's Gemini team. - [NVIDIA Agent Skills](https://hebbmind.com/de/plugin/nvidia-skills.md): [Plugin] NVIDIA's official plugin that finds and installs the right skills from NVIDIA's catalog for your task, spanning CUDA acceleration, NIM inference, NeMo training, RAG blueprints, Omniverse simulation and robotics. Listed in both the Claude and Codex official marketplaces. - [NVIDIA Agent Skills](https://hebbmind.com/de/skill/nvidia-skills.md): [Skill] NVIDIA's official, verified catalog of hundreds of skills covering CUDA-X libraries, NeMo training, NIM and Dynamo inference, RAG blueprints, Jetson, Omniverse and robotics simulation. The install adds only nvidia-skill-finder, which recommends other skills and installs them once you confirm. - [Gemini MCP Tool](https://hebbmind.com/de/mcp/gemini-mcp-tool.md): [MCP] Lets Claude Code and other agents call Antigravity CLI or Gemini CLI, using Gemini's large context window to analyze big files and whole codebases; with Gemini CLI it can also test code in a sandbox. Install and sign in to the CLI first. Not an official Google project. - [LangChain Skills](https://hebbmind.com/de/skill/langchain-skills.md): [Skill] LangChain's official skill collection: framework selection, quickstarts, middleware, persistence, human-in-the-loop approval, RAG and eval design across LangChain, LangGraph and Deep Agents, in Python and TypeScript. Also installable as a Claude Code plugin. Still in early development. - [Opik MCP Server](https://hebbmind.com/de/mcp/opik-mcp.md): [MCP] Comet's official Opik MCP: query traces and spans of LLM apps in chat, log scores and comments, and manage datasets, experiments and prompt versions. Works with Opik Cloud (API key or browser sign-in) and self-hosted open-source Opik. - [MLflow Skills](https://hebbmind.com/de/plugin/mlflow-skills.md): [Plugin] MLflow's official skills plugin: lets coding agents add MLflow Tracing to LLM apps, analyze failed traces, build evaluation datasets and scorers, and query token and latency metrics, closing the instrument, evaluate, iterate loop. Needs MLflow 3.8+. - [Langfuse Observability Plugin](https://hebbmind.com/de/plugin/claude-observability-plugin.md): [Plugin] Langfuse's official plugin: uses hooks to send prompts, model calls, token usage and cost, tool calls and subagents from Claude Code sessions to Langfuse as traces for monitoring and review. Needs Langfuse keys (self-hosting supported) and uv or Python 3.10+.