12 open-source projects share topics or a category with deeplake. Each comparison below is drawn from recorded GitHub metadata — language, license, activity and review status. None of them is a judgement about which is better for you.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Choose DocsGPT if…
you would rather work in Python than C++
MIT License suits your use better than Apache License 2.0
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Choose haystack if…
you would rather work in Python than C++
you want the more widely starred option (27.0k)
you want the more recently updated codebase
you specifically need agent-framework or agentic-ai
Shares agentic-rag, ai, large-language-models, llm with deeplake.
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
Choose khoj if…
you would rather work in Python than C++
GNU Affero General Public License v3.0 suits your use better than Apache License 2.0
you want the more widely starred option (38.1k)
you want the more recently updated codebase
Shares agent, ai, llm, rag with deeplake.
Last push 3 months ago.GNU Affero General Public License v3.0Python38.1k+115