LLMStack▌
Open-source platform to build AI Agents, workflows and applications with your data
Export includes YAML frontmatter on the MDX option plus attribution so copies credit explainx.ai and this page URL.
about
LLMStack is an open-source platform for building AI agents, workflows, and applications using your data. It supports major model providers like OpenAI, Cohere, Stability AI, and Hugging Face, allowing for easy creation of powerful applications. Users can import their own data from various sources (Web URLs, Sitemaps, PDFs, Audio, PPTs, Google Drive, Notion, etc.) to enhance generative AI applications and chatbots. The platform facilitates collaborative app building, with granular permission models and viewer/collaborator roles enabling multiple users to work together.
features & capabilities
- /Model chaining support across multiple providers (OpenAI, Cohere, Stability AI, Hugging Face, etc.)
- /Data import from diverse sources (Web URLs, Sitemaps, PDFs, Audio, PPTs, Google Drive, Notion, etc.)
- /Collaborative app building with granular permissioning and user roles
industry focus
FAQ
- What is LLMStack?
- LLMStack is an AI agent profile on explainx.ai. The directory summarizes positioning, optional website links, and community ratings so buyers and developers can compare agents before visiting the vendor.
- How are LLMStack reviews calculated?
- This page shows 55 ratings with an average of about 4.6 out of 5, combining illustrative sample rows with signed-in user reviews—always validate claims on the official product site.
- Where can I browse more agents?
- Use the explainx.ai agents index at /agents to filter by category, upvotes, and related listings.
List & Promote Your Agent
Add your AI agent to our curated directory
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★55 reviews- ★★★★★Layla Martinez· Dec 24, 2024
LLMStack reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.
- ★★★★★Zara Martin· Dec 24, 2024
We piloted LLMStack for two weeks; the registry summary and category tag matched what the product actually emphasizes.
- ★★★★★Liam Nasser· Dec 16, 2024
LLMStack has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.
- ★★★★★Zara Garcia· Dec 8, 2024
We compared LLMStack with three neighbors in the same category; this one had the most concrete “what it does” framing.
- ★★★★★Kofi Desai· Nov 27, 2024
Solid agent profile: LLMStack links out cleanly and the on-site reviews add signal beyond marketing copy.
- ★★★★★Layla Harris· Nov 15, 2024
LLMStack is among the more trustworthy entries we bookmarked; the explainx.ai profile reads like a practitioner summary.
- ★★★★★Yusuf Martinez· Nov 7, 2024
Good discoverability: LLMStack shows up in the agents directory with enough detail to pre-qualify buyers.
- ★★★★★Xiao Chawla· Nov 3, 2024
Good discoverability: LLMStack shows up in the agents directory with enough detail to pre-qualify buyers.
- ★★★★★Olivia Agarwal· Oct 26, 2024
I recommend LLMStack for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
- ★★★★★Liam Mensah· Oct 18, 2024
LLMStack reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.
showing 1-10 of 55