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Application Stack

Agent frameworks, coding agents, RAG, fine-tuning, evaluation, speech and image generation.

Page Summary Status
Overview The 2026 local stack is coherent because OpenAI-compatible serving is universal: vLLM for serving, LlamaIndex/CrewAI for agents, Qwen3-Embedding+Qdrant for RAG, Unsloth for fine-tuning, whisper.cpp+Kokoro for speech, ComfyUI for images. verified
Agent Frameworks MCP is the standard 2026 tool bus (stateless spec since July). CrewAI most active for multi-agent. AutoGen slowing — verify before adopting. Local tool calls are a code-execution surface. partial
Coding Agents OpenCode is most active (212k stars). For local coding agents, a strong 30B+ model on vLLM is the minimum for usable function calling. Claude Code works via gateway config. verified
RAG Pipeline Recommended local pattern: Qwen3-Embedding -> Qdrant/FAISS -> Qwen3-Reranker -> LLM on vLLM, orchestrated by LlamaIndex. Qwen3-Embedding-8B ranks #1 on MTEB multilingual. Milvus PyPI package is stale — use Qdrant. verified
Fine-Tuning Unsloth is fastest for single-GPU LoRA/QLoRA (7-14B on 24GB comfortably, up to 70B via NF4). Axolotl for multi-GPU/production. MLX-LM on Mac. Export to GGUF afterwards. verified
Evaluation lm-evaluation-harness is the standard for reproducible open-model benchmarking. Evaluates local models directly via transformers or vLLM backend for fully-offline loops. verified
Speech Stack whisper.cpp for portable/CPU ASR; faster-whisper if you want GPU batched ASR. Kokoro (via kokoro-onnx) for quality neural TTS; Piper for lightweight embedded. verified
Image Generation ComfyUI is the de-facto local diffusion stack — node-graph GUI and API. FLUX-dev/schnell class models need 12GB+ consumer GPU. Don't confuse the comfyui PyPI package (v0.0.1, 2024) with the real product. verified
Multi-Agent Orchestration Topology: Qwen3 on vLLM -> LiteLLM proxy -> CrewAI crews -> MCP servers -> Qdrant + Qwen3-Embedding. Speech and image layers bolt on via whisper.cpp and ComfyUI on the same box. verified