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It is a no-code platform for building generative AI applications, chatbots, agents and connecting them to your data and business processes. It is a framework to build new AI experiences or integrate AI into your existing products. | QonQrete is a local-first, agentic AI orchestration system designed for secure, observable, and human-in-the-loop software construction. It coordinates autonomous AI agents to plan, execute, and review code generation — all within an isolated sandbox environment on your own infrastructure. Think of it like a local-first, agentic AI “construction yard” that plans, writes, reviews, and version-controls your code inside a safe sandbox on your own machine. |
Open-source platform;
Model chaining;
Bring your own data;
Build apps collaboratively | AI, Agentic-AI, LLM, DevOps, Developer-Tools, Python, Docker, Orchestration, Automation, Multi-Agent-Systems, Local-First, Self-Hosted, Open-Source, Security, Sandboxing |
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GitHub Stars 2.1K | GitHub Stars - |
GitHub Forks 305 | GitHub Forks - |
Stacks 0 | Stacks 1 |
Followers 2 | Followers 1 |
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Integrations | |
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It is an Open Source code generator. It generates the plumbing and repetitive code for any kind of language. It has been designed to be light and very simple to use.

Optic is an open-source tool that automatically documents and tests your API. It makes it easy to keep your API specification and code in sync and automates your contract testing.

It is a cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, it empowers agents to work together seamlessly, tackling complex tasks.

Want to explain some client-side code or server-side project? We made it happen. Say "Hi" to CodePicnic. Your neighborhood platform for sharing and running code in the browser.

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

The GNU Compiler Collection and GNU Toolchain (Binutils, GDB, GLIBC)

It allows you to run open-source large language models, such as Llama 2, locally.

It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.

It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.