152 tools found
AI pair-programmer for writing and reviewing code.
Real-time code review and refactoring suggestions.
An open-source LLM gateway with routing, load balancing, guardrails, and observability for 1000+ models. #opensource
An open standard for connecting AI models to external tools and data sources. [MCP Registry](https://registry.modelcontextprotocol.io/)
A zero-trust SDK for anonymizing PII locally before sending prompts to LLMs and seamlessly rehydrating the response.
Open-source GenAI and LLM observability platform native to OpenTelemetry with traces and metrics. #opensource
A low-code framework for building custom AI models like LLMs and other deep neural networks.
Official inference framework for 1-bit LLMs, by Microsoft.
A neuro-symbolic framework for building applications with LLMs at the core.
An open-source text-to-SQL and generative BI agent with a semantic layer.
An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability.
A Python library for fine-tuning LLMs [#opensource](https://github.com/unslothai/unsloth).
Cursor is the IDE of the future, built for pair-programming with Powerful AI.
An API for detecting and scoring hallucinations in LLM outputs.
Pack your codebase into AI-friendly formats.
An open-source LLM router that routes agent requests to the most cost-effective model, with usage limits and model benchmarking.
An open-source end-to-end LLMOps platform for prompt engineering, evaluation, and deployment. #opensource
A GitHub Action that uses LLMs (Claude, GPT, Ollama) to automatically translate i18n localization files. #opensource
Inference of Meta's LLaMA model (and others) in pure C/C++. #opensource
An alternative to Supabase for AI Code editors and Vibe Coding tools
AI-powered tool for automated PR analysis, feedback, suggestions, and more.
AI Accelerated Software Development.
Open Source AI coding assistant for planning, building, and fixing code inside VS Code.
A self-hosted copilot clone that uses the library behind llama.cpp to run the 6 billion parameter Salesforce Codegen model in 4 GB of RAM.