trypromptly/LLMStack

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

2311 stars · 349 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LLMStack is a no-code platform for building generative AI agents, workflows, and chatbots by chaining multiple LLMs and connecting them to your own data. It is self-hostable via pip or Docker and includes a web-based app builder, data source ingestion, and sharing with granular permissions.

Use cases

• build ai agents without coding
• create chatbots connected to my own documents
• chain multiple llm providers in one workflow
• ingest pdfs and websites as knowledge for an llm app
• trigger ai workflows from slack or discord
• self-host a no-code llm app builder
• build multi-agent pipelines with my business data

When to choose

• you want a visual, no-code builder for LLM agents and chatbots
• you need to connect diverse data sources (PDFs, URLs, Notion, Google Drive) to LLM apps
• you want to self-host on your own infrastructure or cloud
• you need multi-provider model support (OpenAI, Cohere, Stability, Hugging Face)

When to avoid

• you prefer writing agent logic in code rather than a visual builder
• you need a lightweight library to embed in an existing Python app
• you cannot run Docker for background jobs or browser automation
• you need a fully permissive license (license is custom/NOASSERTION)

Facets

framework · maturity active

agent-framework rag chatbot llm-inference workflow-automation web-framework artificial-intelligence large-language-models chatbots self-hosted web-development python self-hosted windows no-code llm-chaining multi-agent generative-ai data-connectors slack-integration discord-integration app-builder ai-agents retrieval-augmented-generation docker web-server linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="trypromptly/LLMStack")