Open-source CLI security scanner for agentic workflows.
Directory
AI & Machine Learning
AI and Machine Learning covers the tools, models, and services built around machine learning. Models and machine learning holds model hubs, playgrounds, and training resources. AI image generation collects text-to-image tools, editors, and prompt libraries, while audio and speech covers transcription, voice, and music generation. AI coding and development lists assistants, code review tools, and developer utilities, and AI agents and automation brings together workflow builders and task tools. AI data and analytics holds platforms for labelling, monitoring, and evaluating models. Many listings are open source projects rather than hosted services, so check what you get and what it costs before you depend on one. We do not independently test each tool, and a Shout shows member support rather than a quality score. Imported listings do not start with an assigned owner or price.
Agentic Signal is an open source visual AI agent workflow automation platform with local large language model (LLM) integration. It lets users build intelligent workflows via a drag-and-drop interface without requiring cloud dependencies. The repository includes a demo video, feature list, and visual workflow builder documentation.
A research repository examining how agentic AI coding assistants work, covering reconstructed prompt patterns, agent coordination and security classification. It documents design patterns such as system prompts, sub-agent coordination and permission mechanisms, described as approximations based on observation rather than verbatim copies. It aims to help AI engineers and researchers learn from these architectural patterns.
AgenticSeek is a voice-enabled AI assistant presented as a local alternative to Manus AI. It autonomously browses the web, writes code and plans tasks while running entirely on the user's hardware without cloud dependency. It selects agents for tasks and is described as tailored for local reasoning models. The voice and speech-to-text functionality is noted as in progress.
An autoagentic AGI that is self-evolving and modular.
Agentlas-OS is a GitHub project for an agent operating system that maintains a central hub of specialist agents and spins up temporary orchestrators for individual tasks. It is built with a local-first design and works with any AI model.
AgentMail is an email provider built for AI agents. It offers real inboxes through an API, allowing users to create, send, receive, and search email messages via a REST API, intended for autonomous agents and agentic workflows. A free tier is available without a credit card.
AgentPilot is a workflow automation platform for creating, organizing and executing AI workflows, ranging from a single LLM to complex AI-driven workflows. It offers an interface for designing workflows and chatting with them in real time, with branching chats and graph workflows supporting parallel execution. Workflows can be scheduled using natural language expressions of time.
Agentprobe is a tool that tests seller URLs for agentic commerce readiness. It evaluates whether an AI agent can discover, quote, and complete a purchase using 13 probes, such as llms.txt, OpenAPI, and checkout APIs. Results are scored from NOT_READY (
The easiest, and fastest way to run AI-generated Python code safely.
Agents is an open-source framework for data-centric, self-evolving autonomous language agents. It introduces agent symbolic learning, which treats an agent pipeline like a computational graph and uses prompt-based loss, back-propagation and weight updates to train agents. The project also supports optimizing multi-agent systems and was updated to Agents 2.0 with agent learning and evaluation support.
Discover and explore AI agents for various tasks and industries. Find the perfect AI assistant for your business and personal needs.
AGENTS.inc provides autonomous AI agents for enterprise marketing, sales and market intelligence, offered as Agents-as-a-Service. Two deployment models are offered: agents hosted and maintained by the company, or deployed into the customer's own infrastructure. The company states its agents are grounded in customer systems of record and that outputs carry source provenance.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Start building LLM-empowered multi-agent applications in an easier way.
AgentSeer is a Hugging Face Space by holistic-ai that helps users understand how AI agents work by showing their decision-making processes as visual diagrams. Users can upload or input AI agent information to see how different actions are represented.
Agentset.ai is an open-source platform for building AI chat and search applications. It provides production-grade retrieval-augmented generation (RAG) capabilities without requiring specialized RAG expertise, and includes features such as multimodal support, automatic source citations, metadata filtering, support for over 22 file formats, and JavaScript and Python SDKs.
AgentsMesh is an AI agent workforce platform for running AI coding agents across self-hosted machines. Runners advertise their capacity, allow agents to be scheduled onto chosen or available runners from a pool, and each agent runs in its own pod with a dedicated Git worktree. All control happens from one console.
agenttrace is a local-first terminal TUI and report generator for AI coding-agent session history. It reads logs from several coding agents and produces reports on cost, tokens, time, and slow-run diagnosis. Prompts, code, and logs stay on the local machine.
AgentVerse is designed to facilitate deployment of multiple LLM-based agents in various applications. It provides two frameworks: task-solving, which assembles multiple agents as an automatic multi-agent system to collaboratively accomplish tasks, and simulation, which lets users set up custom environments to observe or interact with multiple agents.
ahaz is an R package providing computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model. It depends on R version 2.10 or later, along with survival, Matrix and methods, and requires compilation. The package is authored and maintained by Anders Gorst-Rasmussen under GPL-2 and appears in the MachineLearning and Survival views.
A newsletter post by Jon Stokes introducing the concepts behind AgentGPT, BabyAGI, LangChain and LLM-powered agents. It covers core agent concepts, how LLMs make plans, chain of thought reasoning, action planning, and example prompt-response pairs.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
This is a Scaler blog category page collecting articles on artificial intelligence and machine learning. Posts listed include MLOps projects, becoming an AI research scientist, model drift detection and monitoring, and retrieval-augmented generation evaluation metrics. The page also links to categories such as software development and data science, and offers career counselling.