haystack vs hermes-agent
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| haystack | hermes-agent | |
|---|---|---|
| Tagline | Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. | The self-improving AI agent built by Nous Research |
| Stars | 26k | 211k |
| Forks | 2.9k | 39k |
| Open issues | 112 | 27k |
| Language | MDX | Python |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | Model Training, Inference & Serving, AI Agents | AI Agents |
haystack
Deepset-ai/Haystack is an open-source library that enables the design and implementation of modular pipelines and agent workflows in AI projects. It supports retrieval augmented generation (RAG), multimodal applications, semantic search, question answering systems, summarization, and conversational interfaces with explicit control over aspects such as memory and context management.
MDX
hermes-agent
Hermes Agent is an AI agent designed to learn from experience, improve over time, and adapt to the user's needs. It supports various deployment options and multiple AI models.
Python