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Published directory entries matching your search.
Langfuse is an open source platform for tracing, evaluating and improving AI agents. It connects tracing, monitoring, datasets, experiments and evaluation in one continuous loop, capturing every LLM call, tool invocation and retrieval step. The platform includes prompt management, a playground, experiments and human annotation, and works with any language or framework supporting OpenTelemetry instrumentation.
A Python framework for building LLM-powered applications through a multi-agent paradigm. Developers set up agents, equip them with optional components such as LLMs, vector stores and tools, assign tasks, and have them exchange messages to solve problems. It works with practically any LLM and does not use LangChain.
LangWatch is a platform for evaluating large language models and testing AI agents. The open-source project is hosted on the GitHub platform under the langwatch organization as the langwatch/langwatch repository.
Lemon Agent is a standalone supervised Plan-and-Solve agent that lets a language model perform read and write operations on tools including Airtable, Hubspot, Discord, Notion and GitHub. It holds a Planner Agent and a Solver Agent and asks for approval at workflow steps. The repository states it is currently not under active maintenance.
This is a Notion page titled 'List Of 200 Notion Resources' with the identifier e1b46cd365094265bd47b8a2b25bb41e. The page includes a description of Notion as a collaborative AI workspace built on company context, which allows users to build and orchestrate agents alongside team projects, meetings, and connected apps.
LLama Cpp Agent is a framework designed for easy interaction with large language models (LLMs). It allows users to chat with LLMs, execute structured function calls, and retrieve structured output. It works with models not fine-tuned for JSON output or function calls. The project is hosted as a public repository on GitHub.
Agentic components of the Llama Stack APIs.
LlamaIndex is a platform focused on AI agents for document optical character recognition (OCR) and workflow automation. Its LlamaParse tool is designed to process complex documents including those with tables, charts and images, and can perform parsing, extraction, splitting, classification and indexing of document content.
LLMStack is a no-code platform for building generative AI apps, chatbots and agents using imported data. It supports major model providers and lets users share apps publicly or restrict access with roles.
LLM Stats is an independent AI evaluations lab that measures performance on real-world tasks, with its profile pointing to llm-stats.com. The X account has 406 posts and was joined in February 2025.
LLM Visualization is an AI chat or model resource for writing, coding, research, prompts, and assistant workflows.
LLMFlows is a Python framework for building LLM applications such as chatbots, question-answering systems and agents. It provides abstractions for using LLMs and vector stores, with explicit classes that avoid hidden prompts or LLM calls, aiming to make monitoring, maintenance and debugging easier.
Local is an AI tool or resource for chat, research, automation, media generation, or model development.
LocalAI is described as an open source AI engine that runs models, including LLMs, vision, voice, image and video, on any hardware without a GPU. It presents itself as a drop-in replacement for most upstream APIs and includes a built-in agent platform powered by LocalAGI, whose agents can reason, use tools and maintain memory. Image generation with Stable diffusion on CPU is also supported.
Langflow is a platform for building and deploying AI-powered agents and workflows, with a visual authoring interface and built-in API and MCP servers. It supports major LLMs, vector databases and AI tools, and allows deployment as an API, JSON export or MCP server.
LoongFlow is an expert-grade agent framework for Loop Engineering. It uses a Plan-Execute-Summary loop and structured experiential memory to enable AI to continuously think, execute, reflect, and evolve across complex software engineering, mathematical, and machine learning tasks.
Luigi is a Python package for building complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures and command line integration, and includes Hadoop support. It is intended to stitch together long-running tasks such as Hive, Pig, Hadoop, Spark or database jobs.
Maestro is a framework for Claude Opus, GPT and local large language models to orchestrate subagents. It supports use with APIs from providers including Anthropic, Gemini, OpenAI and Cohere, and has been updated to support Claude 3.5 Sonnet.
Magenta is a research project exploring machine learning in art and music creation, developing deep learning and reinforcement learning algorithms for generating songs, images, and drawings. It also explores tools letting artists and musicians extend their processes with these models. The repository is archived and read-only.
Magick is described as a visual IDE for programming and deploying AI agents, using a node-based interface. It is platform agnostic and open source, and is noted as being in beta. It includes document processing and real-time, event-driven behavior.
A curated GitHub list of artificial intelligence tools. It groups entries into categories such as AI text, coding, generative images, video, audio, marketing, phone call agents and learning resources, and links to models including GPT-3, GPT-4, LLaMA and Claude 3.
Mail.cx is a disposable temporary email service that generates a short-lived inbox without signup. The free web inbox keeps mail for one hour, with a Pro plan adding custom domains, 72-hour retention and REST API access. The API supports long-poll and SSE push for automated inbox polling and AI agents.
Mantine is a React components library with more than 120 customizable components and 70 hooks, focused on usability, accessibility and developer experience, with native dark theme support. It also provides LLM-optimized documentation, skills for AI agents and an MCP server for AI coding tools.
Manus is described as an action engine that executes tasks and automates workflows. Its features page lists building web and mobile apps, creating videos, slides and designs, research, and automations. A video feature uses Seedance 2.5 to generate shots, with editable tracks in a Video Editor.
