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Apache Maka is an incubating local-first AI agent workspace designed for practical software and knowledge work. It can inspect projects, execute tools, create artifacts, and preserve agent activity as recoverable execution records. Sessions, settings, and run data stay on the user’s machine by default, while model connections can use cloud APIs, local models, or compatible gateways.

TapeAgents is a framework that facilitates all stages of the Large Language Model (LLM) agent development lifecycle, providing tools for building, testing, and deploying AI agents.

Cloudflare OS is an open-source AI productivity environment originally developed for internal use across Cloudflare. It combines an agent chat interface, company-specific knowledge, sandboxed application creation, and a capability-based security framework. Users can ask agents to prepare documents, build dashboards, create collaborative tools, or work with connected services. Generated applications are called Gadgets and run as private, isolated instances that can be modified and securely...

Agent SOP is a framework that implements structured operational procedures (SOPs) for autonomous agents so that they can carry out complex multi-step tasks reliably and in a defined order. Instead of relying solely on broad language model reasoning, this project enforces explicit step sequences with checkpoints, conditional transitions, and rollback logic, making agent workflows more predictable and auditable. It defines reusable SOP templates that agents can instantiate with...