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LLMStack
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AI Agents (426)

LLMStack Verified Tool

LLMStack is an open-source platform for building AI applications, agents, workflows, and integrations with multiple model providers and data sources.

Last Update: August 20, 2026

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Starting price Free and open source + paid hosting

Tool Information

LLMStack is an open-source platform for building AI applications, agents, workflows, and integrations with multiple model providers and data sources.

Developers self-host or use an approved deployment, protect keys, grant least privilege, isolate test data, validate every connector and action, add evaluations, budgets, logs, approvals, and rollback before production.

The core project is free and open source, while hosted infrastructure, model APIs, integrations, and enterprise services may cost extra; stable hosted numeric pricing was not verified.

AI workflows can leak data, follow prompt injection, execute unintended actions, and create uncontrolled costs. Sandboxing, permissions, secret management, evaluations, budgets, audit logs, and human approval are essential.

F.A.Q (3)

LLMStack is an open-source platform for building AI applications, agents, workflows, and integrations with multiple model providers and data sources.

Developers self-host or use an approved deployment, protect keys, grant least privilege, isolate test data, validate every connector and action, add evaluations, budgets, logs, approvals, and rollback before production.

Verified pricing: Free and open source + paid hosting. The core project is free and open source, while hosted infrastructure, model APIs, integrations, and enterprise services may cost extra; stable hosted numeric pricing was not verified.

Pros and Cons

Pros

  • LLMStack is an open-source no-code platform for generative-AI applications
  • Users can build agents; workflows; and chatbots in one framework
  • The builder can chain multiple language models
  • Major providers such as OpenAI; Cohere; Stability AI; and Hugging Face are supported
  • Users can bring PDFs; documents; presentations; audio; and tabular data
  • Google Drive; Notion; websites; and direct uploads can act as data sources
  • Built-in preprocessing and vectorization simplify retrieval setup
  • Apps can be exposed through an HTTP API
  • Slack and Discord can trigger configured AI chains
  • Cloud deployment and on-premises deployment are both documented
  • Multi-tenant organizations help separate users and application data
  • Viewer and collaborator roles support shared app development
  • Granular sharing can keep an app private or make it public
  • The project supports text; image; video; and audio generation workflows
  • The public source repository allows inspection and modification
  • A cloud offering provides an easier alternative to self-hosting

Cons

  • LLMStack's no-code interface cannot remove workflow-design complexity
  • Chained models can multiply latency; token usage; and failure points
  • Every external model provider adds separate pricing and data-handling terms
  • Imported private data requires access controls and retention governance
  • Automatic vectorization can retrieve irrelevant or incomplete passages
  • Agent access to tools and web browsing creates prompt-injection risk
  • Public app sharing can accidentally expose internal information
  • Self-hosting requires Docker-backed jobs and infrastructure maintenance
  • Windows installation instructions require WSL2 for the Python package path
  • The documented default administrator credentials must be changed immediately
  • Open repository issues report fresh-install and migration failures
  • Provider updates can break processors or model integrations
  • Generated applications still need evaluation for hallucination and unsafe actions
  • Multi-tenant separation should be independently security-tested for sensitive use
  • The latest PyPI release trail is older than many rapidly evolving competitors
  • Organizations need their own monitoring; backups; rate limits; and incident process

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Applicable Tasks

apps development no-code

Before you subscribe

  • Check the currency, billing period, automatic renewal, usage limits and seats at checkout — prices and promotions change.
  • App-store pricing can differ from website pricing by country, device and tax.
  • Share only authorised data, and read the provider's encryption, retention and model-training terms first.
  • AI output can be incomplete or wrong. Verify facts, citations, calculations and code before you publish or ship.
  • Commercial usage rights vary by plan, provider terms and jurisdiction.
  • None of these tools replaces a qualified professional for medical, legal or financial decisions.

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