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No-code multi-agent framework to build LLM Agents, workflows and applications with your data
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Latest capture 2026-07-16 03:07
6 captures since 2026-05-22
Stars from baseline +7
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Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-16 03:07
pyproject.toml
python ecosystem,
92 dependencies
poetry.lock
python ecosystem,
0 dependencies
web/package.json
javascript ecosystem,
13 dependencies
web/package-lock.json
javascript ecosystem,
0 dependencies
llmstack/client/package.json
javascript ecosystem,
65 dependencies
llmstack/client/package-lock.json
javascript ecosystem,
0 dependencies
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LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.
Agentic components of the Llama Stack APIs
