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craftgen

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Multi-Agent Platforms & Frameworks
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Basic Information

CraftGen is an open-source AI agent platform and no-code workflow system designed to let users build, test, and deploy AI-powered solutions on a scalable graph architecture. The repository supports a visual workflow canvas and programmatic APIs and includes components for model management, agent definition, tool integration, and observability. It uses the Actor Model and an event-driven architecture to orchestrate modular AI components and workflows, and it emphasizes compatibility with OpenAI-compatible APIs, JSON Schema and OpenAPI specs. The project targets both technical and non-technical users and supports self-hosted and local deployments, offline operation for secure environments, and integrations with many inference providers and open-source models to bridge prototyping and production use cases.

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App URL
https://github.com/craftgen/craftgen
Github Repository
https://github.com/craftgen/craftgen/blob/main/README.md

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App Details

Features
Visual workflow canvas for building and testing workflows. Broad model support across proprietary and open-source LLMs, including GPT, Mistral, Llama3, Ollama and any OpenAI API-compatible models. Agent capabilities with support for LLM Function Calling and ReAct patterns. Pre-built and custom tools plus on-demand tool creation. Scalable graph-based architecture built on the Actor Model with event-driven processing. Observability and real-time monitoring features. Code interpreter capability. Local deployment and offline options for secure environments. JSON Schema and OpenAPI compatibility for easy API integration. Marketplace and modular components to compose workflows and agents.
Use Cases
CraftGen helps teams and individuals accelerate AI integration into workflows by offering an app-oriented platform that reduces the need for bespoke code. Non-technical users can assemble powerful automations and agents on a visual canvas while developers can manage models, extend agents with custom tools, and integrate self-hosted or third-party inference providers. The event-driven, graph-based design supports reliable processing and scaling from prototype to production. Built-in observability and model management simplify monitoring and iteration. JSON Schema and OpenAPI support make it straightforward to connect to existing APIs, and local/offline deployment options help meet security and compliance constraints.

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