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BrowserOS: The Open Source Agentic Browser. It is listed under Development & Code on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match BrowserOS. This is an automatic list. We have not written a researched verdict for BrowserOS yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Databricks for Enterprise Codebases
Akon Labs builds GitNexus, a code intelligence tool that indexes a codebase into a knowledge graph of dependencies, call chains, functional clusters and execution flows, so AI coding agents work from resolved structure instead of searching file after file. Indexing parses every file and deterministically resolves impor...
The programming language for AI
Boundary is the company behind BAML, a programming language designed for writing AI agents and the code they produce. The name stands for Basically a Made up Language. It reads like TypeScript, with unions, generics, lambdas and pattern matching, but removes the escape hatches an agent could hide behind: there is no an...
The complete, collaborative workspace for humans and agents
Endstack is a cloud desktop workspace with an AI agent built in at the operating system level. Signing in gives each user a persistent Linux environment running in the cloud, complete with a filesystem, a browser, a terminal, a code editor and a suite of native applications. The desktop runs continuously and is reachab...
Institutional Learning Layer for Every Agent in Your Company
Glen is a shared learning layer for AI agents. It captures what an organization's agents and people learn as they work, then feeds the relevant context back into each new prompt, so that what one agent discovers is available to every other agent in the company. Capture is continuous and automatic. Glen collects agent ...
Simulation Engine for Benchmarking AI Products
Kashikoi is a simulation platform for testing AI agents. The vendor says it lets teams build, evaluate and test an agent by simulating real world interactions, so bugs surface before customers see them. Its headline claim is that an agent can be benchmarked from one prompt with no code, replacing manual evaluation work...
Continuous inference for streaming AI models
.wave builds continuous inference infrastructure for real time AI models, meaning models that keep state and process live input throughout a session rather than answering one bounded request at a time. Its engine schedules recurring steps from many live sessions together on the GPU so that each session meets its own ti...