{"data":{"slug":"trypromptly-llmstack","name":"LLMStack","tagline":"No-code multi-agent framework to build LLM Agents, workflows and applications with your data","github_url":"https://github.com/trypromptly/LLMStack","owner":"trypromptly","repo":"LLMStack","owner_avatar_url":"https://avatars.githubusercontent.com/u/128514470?v=4","primary_language":"Python","stars":2309,"forks":347,"topics":["agents","ai","ai-agents-framework","generative-ai","llm-agents","llm-chain","llm-framework","llmops","llms","no-code-ai","platform"],"archived":false,"github_pushed_at":"2024-12-11T19:59:51+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/trypromptly-llmstack","markdown_url":"https://www.graphcanon.com/tools/trypromptly-llmstack.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/trypromptly-llmstack","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=trypromptly-llmstack","description":"No-code multi-agent framework to build LLM Agents, workflows and applications with your data","homepage_url":"https://llmstack.trypromptly.com","license":"Other","open_issues":23,"watchers":24,"ai_summary":"Offers a no-code environment for creating AI agents, leveraging large language models to develop complex workflows and applications without coding.","readme_excerpt":"## Getting Started\n\n**_Check out our Cloud offering at [Promptly](https://trypromptly.com) or follow the instructions below to deploy LLMStack on your own infrastructure._**\n\nLLMStack deployment comes with a default admin account whose credentials are `admin` and `promptly`. _Be sure to change the password from admin panel after logging in_.\n\n---\n\n### Installation\n\n#### Prerequisites\n\nLLMStack depends on a background docker container to run jobs. Make sure you have Docker installed on your machine if want to use jobs. You can follow the instructions [here](https://docs.docker.com/get-docker/) to install Docker.\n\n#### Install LLMStack using `pip`\n\n```sh\npip install llmstack\n```\n\n> If you are on windows, please use WSL2 (Windows Subsystem for Linux) to install LLMStack. You can follow the instructions [here](https://docs.microsoft.com/en-us/windows/wsl/install-win10) to install WSL2. Once you are in a WSL2 terminal, you can install LLMStack using the above command.\n\nStart LLMStack using the following command:\n\n```sh\nllmstack\n```\n\nAbove commands will install and start LLMStack. It will create `.llmstack` in your home directory and places the database and config files in it when run for the first time. Once LLMStack is up and running, it should automatically open your browser and point it to [localhost:3000](http://localhost:3000).\n\n> You can add your own keys to providers like OpenAI, Cohere, Stability etc., from Settings page. If you want to provide default keys for all the users of your LLMStack instance, you can add them to the `~/.llmstack/config` file.\n\n
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LLMStack: Quickstart video

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","github_created_at":"2023-08-06T00:39:25+00:00","created_at":"2026-07-07T17:42:41.63478+00:00","updated_at":"2026-08-16T00:00:57.708496+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"agents","name":"agents"},{"slug":"ai-agents-framework","name":"ai-agents-framework"},{"slug":"generative-ai","name":"generative-ai"},{"slug":"llm-agents","name":"llm-agents"},{"slug":"llm-chain","name":"llm-chain"},{"slug":"no-code-ai","name":"no-code-ai"},{"slug":"platform","name":"platform"}],"trust":{"provenance":{"is_fork":false,"github_id":675151062,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-16T00:00:56.948Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":612,"last_release_at":"2024-11-05T00:30:10Z","stars_delta_30d":2,"open_issues_delta_30d":-1},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:55:19.240Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-16T00:00:57.408Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-08-16T00:00:57.408Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-08-16T00:00:57.408Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-08-16T00:00:57.408Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["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."],"when_not_to_use":["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."],"source":"enrich:decision_facts","observed_at":"2026-07-14T19:58:08.284Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"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."}]}}