Mozilla.ai Blog

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7分钟前更新
  • 01
    Introducing Otari: The Open-Source LLM Control Plane
    If you are building LLM-powered applications today, you are probably managing multiple LLM providers, a pile of API keys, and your own logic for routing, budgets, and failovers. Accessing language models is no longer the challenge. Operating LLM infrastructure effectively is. Today, we are excited to launch Otari, theMus Himdi
  • 02
    Announcing transcribe.cpp
    Meet transcribe.cpp, a new open-source C/C++ speech-to-text inference library with portable, GPU-accelerated support for multiple STT models. Developed through Mozilla.ai's Builders in Residence program, it makes adding fast, local transcription to applications easier than ever.Davide Eynard
  • 03
    Using Octonous as a Product Manager
    A look at how we use Octonous inside mozilla.ai to reduce the everyday overhead of product work, from turning Slack feedback into GitHub issues to staying on top of product changes and finding context across the tools where work already happens.Hasan Gözlügöl
  • 04
    Image Classification Comes to encoderfile
    Encoderfile now handles images. Starting with image classification, you can run vision models as a single executable — no Python runtime, no serving infrastructure, just a file path in and a label out.Javier Torres Ramón
  • 05
    What is an LLM control plane?
    Runaway agents? Provider outages? Discover why your AI stack needs an LLM control plane, not just a gateway, to handle production routing, budgets, and privacy.Anushri Gupta
  • 06
    Use the Otari Gateway with OpenCode
    AI coding sessions can feel like a black box. Route OpenCode through the Otari Gateway to track costs, token usage, and model activity in real time. Get budget controls and visibility across every session without changing a single line of application code.toto
  • 07
    Otari: Own Your AI Stack
    Meet Otari, an open-source LLM gateway powered by any-llm, and Otari.ai, the hosted platform built on the same foundation. Run frontier or open-weights models through one API with usage tracking, budget controls, routing policies, observability, and team management.Dimitris Poulopoulos
  • 08
    AI Got Expensive. Now What?
    Cloud AI pricing changed fast in 2026. This post looks at why more teams are moving back to local models, the tradeoffs behind tools like Ollama and LM Studio, and why portability and ownership are becoming bigger concerns for developers.Anushri Gupta
  • 09
    cq exchange: Agents without Borders
    cq exchange gives agents a shared place to store and retrieve experience-driven knowledge through private namespaces and a public commons.Anushri Gupta
  • 10
    The Interface Is No Longer the Product
    The future of AI may not be agents using today’s apps. It may be apps rebuilt around structured representations agents can inspect, modify, and validate directly. The deck, doc, or dashboard becomes the output, not the source of truth.Alejandro Gonzalez
  • 11
    First Line of Defense for cq
    cq helps coding agents share resolution paths and learn from past failures. We partnered with Lauren Mushro to bring VIBE✓ into cq and help review knowledge units before they enter shared memory.Lauren Mushro
  • 12
    Octonous Open Beta: What We've Learned and Where We're Going
    The Octonous open beta is live. Learn what we discovered during closed beta, the workflow patterns users kept returning to, and the biggest improvements shipped since launch.David de la Iglesia Castro
  • 13
    Sovereign AI: Control, Choice, and Why It Goes Beyond Geopolitics
    Sovereign AI shows up across nations, companies, communities, and individuals. This piece, based on a conversation with John Dickerson, CEO at Mozilla.ai, looks at control over AI systems, avoiding single points of failure, and building with modular, swappable components.Kevin Tayong
  • 14
    Encoderfile’s New Format: Why a “Dull” Design Wins
    Encoder models power most NLP in production, but deploying them still means dragging along Python runtimes and dependencies. Encoderfile introduces a single executable with an appended payload and a format that can be inspected and understood.Raz Besaleli
  • 15
    The Hardest Part of Running a Small Business in the Trades
    Running a small trade business includes a steady flow of admin work: quotes, scheduling, invoices, payments, and more. This post looks at how that workload builds up and introduces Clawbolt, a focused assistant designed around these everyday workflows.Nathan Brake
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