LLMStack is a no-code platform to build generative AI agents, workflows and chatbots that connect to data and business processes. It supports multi-agent chaining, data import, no-code builder, and deployment options.
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What it is
LLMStack is a no-code platform for building generative AI agents, workflows and chatbots, connecting them to your data and business processes.
How it works
Features include agents, chaining multiple LLMs, data import with preprocessing and vectorization, a no-code builder for AI chains, and deployment to cloud or on-premise. Apps can be accessed via HTTP API and can be triggered from Slack or Discord. It supports multi-tenant organization structures and keys management for providers like OpenAI. Documentation and quickstart resources are linked in the README.
Getting started
Installation command:
pip install llmstack
Then start the service with:
llmstack
Additional notes:
- Prerequisites mention a background docker container for jobs; Docker installation guidance is linked.
- The default admin account credentials are
adminandpromptly, with a reminder to change the password after logging in. - On first run, it creates a
.llmstackdirectory in the home folder and stores database/config files there; browser opens to http://localhost:3000. - You can add provider keys from the Settings page or via
~/.llmstack/configfor default keys.
Recent releases
- v0.2.6 (2024-11-05): Voice agents with OpenAI realtime API; Twilio voice integration; Bug fixes
- v0.2.5 (2024-09-25): Sheets launch; AI sheet builder; Bug fixes
- v0.2.4 (2024-09-13): Sheets; Token usage info in history; Message feedback support
- v0.2.3 (2024-08-14): Bug fixes
- v0.2.2 (2024-08-06): Add new default apps; Allow using file converter
Traction
Stars: 2309; Forks: 347; Open issues: 24
Behind the repo
Website links point to Promptly for cloud offering and documentation; repository indicates a Python-based no-code platform with a Docker-dependent backend.
Caveats
License is not listed in the repo metadata. Creation date: 2023-08-06; last push: 2024-12-11. There are 24 open issues reported.






