Showing 41-60 of 68 projects
An open-source visual programming environment for battle-testing prompts to large language models.
Turn expensive prompts into cheap fine-tuned models for AI developers and ML engineers.
Laminar is an open-source observability platform purpose-built for AI agents and workflows.
A security toolkit for protecting against attacks on large language models (LLMs) like ChatGPT.
Learn to build a Second Brain AI assistant with LLMs, agents, and fine-tuning techniques.
Hamilton is an open-source ETL framework that helps data scientists and engineers build modular, testable dataflows with lineage and metadata.
An open-source platform for evaluating and improving Generative AI applications with 20+ preconfigured checks and root cause analysis.
A self-modifying AI framework built on FastAPI, SQLModel, and Streamlit for building AI-powered web applications.
An open-source platform for AI engineering with LLM observability, GPU monitoring, and prompt management tools.
Reproducible development environment for humans and agents
Burr is a Python-based framework for building AI-powered applications and agents that can monitor, trace, and execute on your own infrastructure.
A TypeScript-based MCP (Multi-Cloud Platform) server management app with a unified interface for managing MCP servers.
A community-maintained hardware plugin for running large language models (LLMs) on Ascend accelerators.
A Python framework that makes it easy to build AI applications using large language models like GPT and LLMs.
A TypeScript library for building better AI agents and tools in the MCP ecosystem.
Open-source LLM load balancer and serving platform for self-hosting LLMs at scale.
A TypeScript library for detecting and mitigating LLM prompt injection attacks in AI applications.
A reactive runtime for building durable AI agents using Rust, with a focus on LLM orchestration and debugging.
Kusion is a declarative, intent-driven platform orchestrator for building internal developer platforms on Kubernetes.
An open-source runtime for building and managing intelligent agents across local, cloud, and edge environments.
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