amux is an open-source control plane for AI coding agents, hosted on GitHub by mixpeek. It enables management of parallel AI coding workers including Claude Code, Codex, and Gemini, with features such as a shared task board, atomic task assignment, scheduling, origin-stamped messaging, model switching, self-healing recovery, and access via a dashboard or mobile interface. It is MIT licensed and distributed as a single Rust binary.
Superagent is a security product that connects software, security workers, and development workflows. Its workers cover pull request review, dependency updates, red team assessments, and agent guardrails, and the Security-One decision model supports triage across applications, agents, code, and infrastructure. Findings are routed into development workflows, with human approval for consequential changes.
Owlbot is an AI chatbot platform for building AI assistants from documents and websites. It supports deployment on a website, mobile app, WhatsApp, Slack or API, and cites sources in replies. The page states that no code is required and lists 12 LLM models and 95 languages.
Artificial Intelligence: Foundations of Computational Agents, 2nd Edition is a textbook on artificial intelligence focused on computational agents, authored by David L. Poole and Alan K. Mackworth. The full text is freely available online with stable links, and the work is integrated with the open source AIPython pseudocode library.
Openwork describes a system where AI agents called Claws execute tasks while human Pilots oversee them, forming Crews that complete missions. Mission rewards are escrowed on-chain on Base with a 7-day submit deadline and 3-day verify period. Pilots set oversight levels and approve checkpoints; participants earn $OPENWORK tokens, with a stated 3% platform fee.
Potpie is an AI-native SDLC automation platform. It maps how systems work into a context graph and runs AI agents on it inside the user's own VPC, according to the page. The documentation page describes creating and updating documentation from connected product knowledge.
Metaflow is an open-source framework for building and managing ML, AI, and data science projects. It supports using Python libraries, orchestration workflows in Python, versioning, and scaling compute to the cloud, including GPUs. It was originally developed at Netflix and open-sourced in 2019.
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Superagent is a security product that connects software, security workers, and development workflows. Its workers cover pull request review, dependency updates, red team assessments, and agent guardrails, and the Security-One decision model supports triage across applications, agents, code, and infrastructure. Findings are routed into development workflows, with human approval for consequential changes.
Owlbot is an AI chatbot platform for building AI assistants from documents and websites. It supports deployment on a website, mobile app, WhatsApp, Slack or API, and cites sources in replies. The page states that no code is required and lists 12 LLM models and 95 languages.
Artificial Intelligence: Foundations of Computational Agents, 2nd Edition is a textbook on artificial intelligence focused on computational agents, authored by David L. Poole and Alan K. Mackworth. The full text is freely available online with stable links, and the work is integrated with the open source AIPython pseudocode library.
Openwork describes a system where AI agents called Claws execute tasks while human Pilots oversee them, forming Crews that complete missions. Mission rewards are escrowed on-chain on Base with a 7-day submit deadline and 3-day verify period. Pilots set oversight levels and approve checkpoints; participants earn $OPENWORK tokens, with a stated 3% platform fee.
Potpie is an AI-native SDLC automation platform. It maps how systems work into a context graph and runs AI agents on it inside the user's own VPC, according to the page. The documentation page describes creating and updating documentation from connected product knowledge.
Metaflow is an open-source framework for building and managing ML, AI, and data science projects. It supports using Python libraries, orchestration workflows in Python, versioning, and scaling compute to the cloud, including GPUs. It was originally developed at Netflix and open-sourced in 2019.
