8 Best harbor Alternatives in 2026 (Open Source)
harbor — One command brings a complete pre-wired LLM stack with hundreds of services to explore.. The all-in-one local LLM stack orchestrator — spin up 30+ pre-wired services (backends, frontends, RAG, voice, images) with a single harbor up command
These 8 open-source tools do the same job. They are ordered by how closely they match harbor, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| harbor(original) | 3.2k | +111 | 2026-09-25 |
| Ollama | 182.0k | +2,511 | 2026-09-30 |
| AI Getting Started | 4.1k | +0 | 2024-06-10 |
| Jina-Serve | 21.9k | +2 | 2025-03-24 |
| TaskingAI | 5.4k | +4 | 2024-10-31 |
| Open Assistant API | 367 | +1 | 2024-12-14 |
| Agenta | 4.8k | +131 | 2026-09-30 |
| voltagent | 10.7k | +587 | 2026-09-28 |
| Flowise | 55.5k | +697 | 2026-08-13 |
1. Ollama
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
What sets it apart: Unlike vLLM (production server focus) or LM Studio (GUI-first), Ollama is the simplest CLI-first tool for running local LLMs with one-command setup, an OpenAI-compatible API, and the largest ecosystem of 100+ community integrations.
Best for: Developers who want to run open-source LLMs locally with zero configuration; Privacy-sensitive use cases requiring fully offline LLM inference
2. AI Getting Started
A Javascript AI getting started stack for weekend projects, including image/text models, vector stores, auth, and deployment configs
What sets it apart: vs building from scratch: a16z-curated opinionated stack (Next.js + LangChain + vector DB + auth + security) eliminates decision paralysis for AI app development
Best for: Learning full-stack AI app development with modern tools; Rapid prototyping of RAG applications
3. Jina-Serve
☁️ Build multimodal AI applications with cloud-native stack
What sets it apart: vs FastAPI/Flask: built-in containerization, gRPC-first architecture, dynamic batching, and one-command Kubernetes/cloud deployment specifically designed for ML serving
Best for: Deploying ML models as scalable microservices; LLM inference with streaming and dynamic batching requirements
4. TaskingAI
The open source platform for AI-native application development.
What sets it apart: BaaS platform for LLM agent development with unified API across hundreds of models, decoupled modular management of tools/RAG/models, and one-click production deployment
Best for: llm-app-backend-service; multi-tenant-ai-platforms; unified-multi-model-management
5. Open Assistant API
The Open Assistant API is a ready-to-use, open-source, self-hosted agent/gpts orchestration creation framework, supporting customized extensions for LLM, RAG, function call, and tools capabilities. It
What sets it apart: Open-source OpenAI Assistant API compatible service supporting multiple LLMs via One API, with RAG, web search, and local deployment
Best for: self-hosted-openai-assistant-alternative; multi-llm-assistant-apps; enterprise-local-deployment
6. Agenta
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
What sets it apart: Unified open-source LLMOps platform combining prompt playground, version control, 20+ evaluators, and OTel-native observability in one tool — vs separate tools for each
Best for: Teams needing integrated prompt management + evaluation + observability; Product teams collaborating with SMEs on prompt engineering; Organizations wanting open-source LLMOps alternative
7. voltagent
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
What sets it apart: Full-stack TypeScript agent platform with built-in workflow engine, voice support, and observability console — more opinionated than Vercel AI SDK, more TypeScript-native than LangChain
Best for: TypeScript developers building production agent systems with observability; Multi-agent systems with workflow orchestration and voice capabilities
8. Flowise
Build AI Agents, Visually
What sets it apart: Easiest no-code AI agent builder with one-command setup (npx flowise start) — simpler than Langflow, targeting non-developers who want AI workflows without Python
Best for: Non-technical users building AI chatbots and RAG applications; Quick prototyping of LLM workflows with drag-and-drop