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Agency is an open-source GitHub repository maintained by neurocult. It is a Go-language library intended to help developers explore large language models and other generative AI tools through a clean, effective, Go-idiomatic interface. The project provides quick start guides, feature documentation, and tutorials for users.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
agent-qa is an open-source, self-improving QA agent for software teams. It functions as a test harness with memory, allowing users to write natural language tests for web and mobile applications. The tool learns from each test run, adapts to UI changes, and catches regressions before product release.
Agent2Agent (A2A) Protocol is an open standard that enables secure communication, collaboration, and joint problem-solving between different AI agents. The linked page hosts the official specification documentation for the protocol, covering core operations and enterprise features.
AgentDock is a writing editor, Chrome extension, open prompt library, and agent API, all stated as live. The editor supports writing, citing, and publishing documents, with citations pulled from Zotero, Mendeley, and DOIs. An AI employee for business use is described as shipping Q3 2026.
AgentField is an open source tool designed to build, run, and scale AI agents structured similarly to APIs and microservices. It supports building production agents using prompts, and its code is hosted in a public GitHub repository.
AgentGPT is a browser-based tool for assembling, configuring, and deploying autonomous AI agents. Users create an agent by adding a name and goal, then deploy it. The page labels the project as beta and lists example agents for research, travel planning, and study planning.
Agentic AI is a Hugging Face Space created by user bstraehle that generates text responses to user prompts via the OpenAI API. Users must supply an OpenAI API key, enter a prompt, and select an agent option to receive a text output. The tool uses LangChain and LlamaIndex frameworks.
Agentic Context Engine (ACE) is an open source tool designed to enable AI agents to learn from experience. It is also offered as a hosted solution at kayba.ai, with supporting resources including proven results documentation, a quick start guide, and runners.
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.
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.
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 (
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.
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.
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.
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.
Agnai provides conversational AI for questions, tasks, and general assistance.
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.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
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.
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.
