LLMStack
No-code multi-agent framework to build LLM Agents, workflows and applications with your data
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
LLMStack is a no-code framework designed for building LLM Agents and complex workflows with data integration, suitable for teams that want to leverage AI without deep coding expertise.
Good fit when
- Use LLMStack when you need a no-code solution to develop multi-agent systems based on large language models.
- Ideal for scenarios where quick development and deployment of generative AI applications are required without requiring significant programming knowledge.
Avoid when
- Avoid using LLMStack if your project necessitates heavy customization or fine-tuning at the coding level, as it may limit flexibility compared to code-based alternatives.
- Not recommended for teams with robust software engineering capabilities and a need for detailed control over underlying AI model architectures.
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (612d since push)
- As of Aug 16, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 16, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install LLMStackHow it fits your stack(4)
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Alternative
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Offers a no-code environment for creating AI agents, leveraging large language models to develop complex workflows and applications without coding.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 16, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 16, 2026
Categories
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Getting Started Check out our Cloud offering at Promptly or follow the instructions below to deploy LLMStack on your own infrastructure. LLMStack deployment comes with a default admin account whose credentials are and . Be sure to change the password from admin panel after loggin...
For agents
This page has a .md twin and JSON over the API.