trypromptly/LLMStack
Some data may be outdated — see provenance labels.
No-code multi-agent framework to build LLM Agents, workflows and applications with your data observed · 2026-10-01
Health v2 · maintenance only
19/100
- Activity 0
- Release rhythm 8
- Longevity 83
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1172
- days_rel: 715
- days_push: 678
- n_releases_24m: 1
Adoption not part of the score
2308 stars · 350 forks observed · 2026-10-01
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
4 sources
- readme: https://github.com/trypromptly/LLMStack · fetched 2026-10-01 · a05312a4f47d
- homepage: https://llmstack.trypromptly.com · fetched 2026-08-29 · 7e91f7cd9058
- site_page: https://docs.trypromptly.com/llmstack/introduction · fetched 2026-08-29 · 602ed8e66315
- site_page: https://docs.trypromptly.com/getting-started/ui · fetched 2026-08-29 · e6b5ab0ea71d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| trypromptly/LLMStack | main | 19 |
For agents
markdown · JSON · MCP: product_card(name="trypromptly/LLMStack")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem