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An open-source visual programming environment for battle-testing prompts to LLMs.

The Security Toolkit for LLM Interactions

Laminar - open-source observability platform purpose-built for AI agents. YC S24.

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.

🤖Self-Modifying Framework from the Future 🔮 World's First AMS

Bionic is an on-premise replacement for ChatGPT, offering the advantages of Generative AI while maintaining strict data confidentiality

No-code multi-agent framework to build LLM Agents, workflows and applications with your data

🏕️ Reproducible development environment for humans and agents

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

Open-source LLM/VLM load balancer and serving platform for self-hosting LLMs (and VLMs) at scale 🏓🦙 Alternative to projects like llm-d, Docker Model Runner, etc but with less moving parts and simple deployments built around ggml ecosystem. Runs on CPU and GPU.

A reactive runtime for building durable AI agents

RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

📊 llm.report is an open-source logging and analytics platform for OpenAI: Log your ChatGPT API requests, analyze costs, and improve your prompts.

OpenTelemetry Instrumentation for AI Observability

This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

The only fully local production-grade Super SDK that provides a simple, unified, and powerful interface for calling more than 200+ LLMs.

🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.

Open-source framework that gives you AI Agents that help you navigate decision-making, get personalized goals and execute them

[deprecated] AI Gateway - core infrastructure stack for building production-ready AI Applications

Local-first memory governance for OpenClaw: Store / Pack / Observe cited, inspectable, rollbackable agent context.