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Open-source, low-code machine learning library in Python that automates machine learning workflows.
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Agent Framework / shim to use Pydantic with LLMs.
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An alternative to use Agentic RAG in enterprises.
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An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
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An LLM-based autonomous agent controlling real-world applications via RESTful APIs.
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Testing infrastructure for LLM and agentic applications with collaborative evaluation.
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An AI-powered autonomous coding agent integrated directly into VS Code. opensource.
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GDM Science Skills to speed up agentic scientific workflows with better grounding and higher token efficiency. Integrate insights from AlphaGenome, AFDB, UniProt and 30+ other databases and tools.
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An open-source tool for recording screen and audio activity with AI-powered search, automations, and support for local LLMs. opensource.
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A streamlit app to dialog with your second brain notes using OpenAI and ChromaDB locally.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Enterprise-grade Voice AI simulation SDK for scenario-driven stress testing of multimodal and agentic systems.
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Export ML projects to Kubernetes (Argo workflows), Airflow, AWS Batch, and SLURM.
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Open-source DevOps agent to help you secure, deploy, and maintain production-ready infrastructure.
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⭐ to get notified when new templates drop.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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SuperAGI - A dev-first open source autonomous AI agent framework.
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Tooling for giving AI systems richer capabilities and more flexible action patterns in practical workflows.
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Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
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Bleeding-Edge Multi-Agent Orchestration Framework for Enterprise Applications.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Agent techniques to augment your LLM and push it beyond its limits.
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"an experimental open-source attempt to make GPT-4 fully autonomous".