JupyterLite now supports any-llm-gateway as a backend for its AI static front-end. any-llm-gateway routes LLM requests through a single gateway rather than tying usage to one provider. Integration details: link.mozilla.ai/jupyterlite-...

2025 at Mozilla.ai was about building in the open. New open-source tools, IRL workweeks, community events, and early platform launches all shaped how our stack and team evolved this year. Our Year in Review shares what we shipped and what’s ahead. Full blog post: link.mozilla.ai/2025-year-in...

Unlimited LLM access can get expensive. Over-restricting access slows teams. any-llm-gateway sits in between: • Usage tracking • Budget enforcement • Works across providers Read the docs: mozilla-ai.github.io/any-llm/gate...

Agent setups across local, CI, and production often rely on startup scripts, environment variables, and process control hacks. Version pinning and updates are manual. mcpd replaces this with a single config. Docs → link.mozilla.ai/mcpd-docs

If switching LLMs breaks your product, the issue isn’t the model. any-llm keeps one stable interface while providers change underneath. Read more: link.mozilla.ai/any-llm-v1

Post-mortems take time most teams wish they could get back. We’re exploring early concepts for the Agent Platform, including a Post Mortem Generator Agent that could turn incident data into clearer, faster-to-create summaries. Preview the early direction: link.mozilla.ai/post-mortem-...

More people are testing local LLMs lately. Where do you run most of your models? • Local setup • Cloud APIs • Hybrid • Learning the landscape Tried llamafile yet? Check it out here: link.mozilla.ai/llamafile-repo

Key benefits of any-guardrail 👇 • One API for many guardrails • No custom preprocessing • Easy model switching Get started with any-guardrail: link.mozilla.ai/any-guardrail

Enterprises run on the JVM, and now polyglot AI agents can too. This blueprint explores how WASM on the JVM runs Rust, Go, Python, and JavaScript agents side-by-side with strong isolation and enterprise-grade observability. Full blog post: link.mozilla.ai/polyglot-ai-...

Say hello to @toto.space, our newest software engineer at Mozilla.ai! He’s into coffee, photography, and open-source. He’s joining the team working on the any-llm managed platform to help simplify how teams use different LLM providers.

Roadmap questions can take up a big share of a PM’s day. We’re testing early concepts for the Agent Platform, including a Roadmap Agent that gives plain-English answers from roadmap details. More here: link.mozilla.ai/roadmap-agent

We’re opening the alpha for the any-llm Managed Platform! 📢 It’s a zero-knowledge vault and usage tracker for OpenAI, @anthropic.com, Google, and more. Full blog post: link.mozilla.ai/any-llm-mana...

What makes choosing an LLM the most difficult for you? Is it price, quality, or speed? If LLM routing would help you compare models more easily, the full post is here: blog.mozilla.ai/the-challeng...

The video recording of Davide Eynard’s (@aittalam.bsky.social) “Build Your Own Timeline Algorithm” talk at SFSCON is now available. He covers how to build a local timeline algorithm with Mastodon.py, llamafile, and marimo. Full session here: www.sfscon.it/talks/build-...

DataFest Tbilisi (Nov 27–29) is a wrap! Raz Besaleli, Davide Eynard (@aittalam.bsky.social), and Irina V. each led sessions on building stronger AI systems, open-source agents, and applying real software rigor to AI. Thanks to everyone who joined — see you next year!

We’re sharing an early look at concepts for the Agent Platform. The Agent Showroom includes a few prototype agents — call prep, post-mortem drafts, roadmap support — to help us learn what real teams need. See the early ideas: https://link.mozilla.ai/agent-platform

Three reasons any-llm makes development easier. • One API for cloud and local models   • Async-first design for real workloads   • Stable interface that survives provider changes   Get started on GitHub: https://link.mozilla.ai/any-llm-repo

DataFest Tbilisi begins tomorrow! Raz Besaleli, Davide Eynard (@aittalam.bsky.social), and Irina Vidal will all be speaking — covering AI resilience, software reliability, and how to run open source agents on your own terms. Details here: https://www.datafest.ge/

Openness and human agency don’t need to disappear in the age of AI. There’s a blueprint for building technology that keeps those principles at the center. Check out Mark Surman’s blog post outlining the evolving mission to do for AI what Mozilla did for the web.

Encoderfile v0.1.0 is here. A new way to deploy encoders as single-binary executables with no runtime dependencies. Faster, leaner, and built for correctness. Full details here: https://link.mozilla.ai/encoderfile-v010

The lethal trifecta is what breaks most guardrails. Tools. External data. Language input. A tough mix to secure. See the full analysis: https://link.mozilla.ai/open-source-guardrails

We built mcpd-proxy to make MCP tools easier to use in VS Code and Cursor. One shared setup. All your MCP servers. Read the full post: https://blog.mozilla.ai/mcpd-proxy-centralized-tool-access-for-ai-agents-in-vs-code-cursor-and-beyond/?utm_source=bluesky

If you work with MCP tools in VS Code or Cursor, you might appreciate what we’re sharing tomorrow. A small improvement that smooths out a familiar pain point.

On Nov 7, Davide Eynard (@aittalam.bsky.social) presented at #SFSCON on building a personal, local timeline algorithm with Mastodon.py, llamafile, and marimo. You can now view the slide deck here: https://www.sfscon.it/talks/build-your-own-timeline-algorithm/ Recording coming soon. 👀

any-llm keeps your interface stable even while models change. Give v1.0 a try: github.com/mozilla-ai/a...

Why local, open LLMs matter again: • Full control • Privacy-first • Runs anywhere 🦙 llamafile brings this to life → https://github.com/mozilla-ai/llamafile

any-llm-gateway is here! An open-source FastAPI gateway to deploy, budget, and monitor LLM usage.   Track costs, manage keys, and stay in control across OpenAI, Anthropic, Mistral, and more.   Read more: https://blog.mozilla.ai/control-llm-spend-and-access-with-any-llm-gateway/

#MozFest 2025 just wrapped up!   So many great conversations and ideas shared about how we can build a more open, human internet. Already looking forward to next year. 💡

#MozFest 2025 🎉   @peteski22.bsky.social#MozFest Javier, and Mario are attending — and our fearless leader, John, is co-hosting “Context is All You Need: The Collective Land Grab Reshaping the Internet.”   🔗 https://schedule.mozillafestival.org/session/230

Can open-source guardrails really protect AI agents? We tested them on prompt injection and function-call risks using any-guardrail. PIGuard showed promise, but custom judges still have gaps. Read the full post:

Join Davide Eynard (@aittalam.bsky.social) from Mozilla.ai at SFSCon to learn how to build a privacy-first timeline algorithm that runs entirely on your device. 🕔 November 7 at 17:00 (Seminar 4)

Any-LLM v1.0 is here! Run OpenAI, Claude, Mistral, or llama.cpp from one unified API. No rewrites. No lock-in. Just build. Learn what’s new in Version 1.0: blog.mozilla.ai/run-any-llm-...

llamafile is back! 🦙 Mozilla.ai is refreshing the codebase, upgrading the internals, and shaping the next version with the community. If you care about open, local, privacy-first AI—this is your moment to join in. 👉 Read more and share your ideas: blog.mozilla.ai/llamafile-re...

Our Sr. ML Engineer Nathan Brake will speak at Pittsburgh TechFest on Oct 24! He’ll dive into AI agentic systems, and explore why we should focus on efficiency & evaluation, showcasing a holistic approach using any-agent, any-llm, and any-guardrail. Learn more: www.pghtech.org/events/2025T...

🚀 We’ve just launched our new Mozilla.ai website! We’ve given our website a full makeover, making it easier than ever to explore our work and connect with what we’re building. 👀 Check it out and explore what’s coming next: www.mozilla.ai

We're excited to announce that our ML Systems Engineer Raz Besaleli, and Head of AI Engineering Irina Vidal Migallón will speak at the DataFest Tbilisi (Nov 27–29)! Raz on lessons from systems engineering for resilient AI, and Irina on key risks when working with AI. More info: www.datafest.ge

Working with multiple platforms & LLMs, but some models only appear on certain providers? Try any-llm Model Finder! See connected providers via API keys & search models across all of them. It's built on top of our any-llm library. Check out our repo and GIF: github.com/mozilla-ai/a...

Join us for an interactive preview of Mozilla.ai’s Agent Platform! We’re inviting HR, CX, Sales & Marketing experts for a hands-on session to test and build a working agent that addresses a task of your choice. No technical skills required. 👉 Register: https://luma.com/bj15wy0k

Guardrails are vital for AI safety, but hard to choose. Each has its own logic & definition of unsafe. That's why we built any-guardrail, a unified interface to test and switch guardrails seamlessly, making AI safer, more reliable, and easier to build. Read our post: blog.mozilla.ai/introducing-...

Last Friday, our PM Stefan French spoke at AI_dev Summit about @mozilla.ai's open-source projects: Blueprints and any-suite libraries. We aim to help devs adopt open-source AI with confidence, innovate faster, and avoid vendor lock-in. Check out our slides: static.sched.com/hosted_files...

What if AI agents ran entirely in your browser? Baris Guler takes that idea seriously in our first-ever guest post on the Mozilla.ai blog: 🧱 WebLLM + WASM + WebWorkers 💻 Rust, Go, Python, JS 🔒 Fully local. No API calls. Read the post here: blog.mozilla.ai/3w-for-in-br...

🚀 New releases! any-llm v0.15.0: List available models Local demo chat app Better async support Now supports llama.cpp & Perplexity any-agent v1.5.0: any-llm is now default for tinyagent framework Check them out: github.com/mozilla-ai/any-agent github.com/mozilla-ai/any-llm

We just released mcpd: requirements.txt for agentic systems. It simplifies running MCP servers with one config that works across local, CI, and prod. Props to Peter + Alejandro, and the team at Mozilla.ai repo: github.com/mozilla-ai/m... blogpost: blog.mozilla.ai/meet-mcpd-re...

🚀 New releases for our any-suite tools! any-agent v1.2.1: API consolidation, better small model support, test suite extension, A2A streaming. any-llm v0.12.0: New providers, OpenAI Responses API, reasoning output, improved stability. 🔗 github.com/mozilla-ai/a... 🔗 github.com/mozilla-ai/a...

At @mozilla.ai, we tested OpenAI’s new gpt-oss reasoning model and hit a challenge: providers handle reasoning output differently, needing to diverge from OpenAI Completion API spec. any-llm fixes this by standardizing outputs, so you can compare providers easily. 🔗 blog.mozilla.ai/standardized...

Watch @daavoo.bsky.social talk at @mlopscommunity.bsky.social virtual conference, and explore how you can unlock new ways to understand agent behavior with structured traces that capture the agents' full chain of thought, tool calls, and model interactions. 🎥 www.youtube.com/watch?v=yC3X...

🚀 any-llm v0.5.0 is out! - Added support for new providers: OpenRouter, PortKey & LMStudio - Supports embedding models inference via API. More flexibility, better integration. Thanks to our community for the feedback! 🙌 Repo: github.com/mozilla-ai/a... Docs: mozilla-ai.github.io/any-llm/prov...

🚀 any-llm v0.3.0 is live! ✅ Streaming now supported for AWS, Google & Mistral ✅ Expanded test coverage for better stability Another step toward a simpler, unified interface that works seamlessly across providers. 🔗 Check out our repo: github.com/mozilla-ai/a... Try it out & share feedback!

Our ML Engineer Nathan Brake joined the Firefox podcast Outside the Fox to talk about AI security: trending scams, identity protection, and how @mozilla.ai contributes to building reliable and transparent AI agent systems with tools like any-agent. 🎥 Watch here: www.youtube.com/watch?v=ZDnD...

Announcing any-llm, a Python library that lets you switch LLM providers with a single config change. Key features: ✅ Uses official SDKs ✅ No proxies ✅ Supports OpenAI, Mistral, Anthropic & more ✅ OpenAI format responses Read more on our blog post: blog.mozilla.ai/introducing-... Repo & docs below