AI Generated Code Isn’t Cheating: OSS Needs to Talk About It

Remember early 2025? "Vibe coding" was a meme and seemed mostly a tool for casual builders or those new to coding. It's now 2026, and we find ourselves living in a new reality. Industry leaders like DHH, Karpathy, and Lutke are publicly embracing AI-generated code controlled by human prompting.

Secure Your Keys, Track Your Costs: any-llm Managed Platform Enters Open Beta

Secure, encrypted LLM API key management across OpenAI, Anthropic, Google providers. Track costs, set budgets, avoid vendor lock-in. Free beta access now.

mcpd Plugins: Extend Your Agent Infrastructure Without Touching Your Code

The new plugin system transforms mcpd from a tool-server manager into an extensible enforcement and transformation layer—where authentication, validation, rate limiting, and custom logic live in one governed pipeline.

Building in the Open at Mozilla.ai: 2025 Year in Review

The year 2025 has been a busy one at Mozilla.ai. From hosting live demos and speaking at conferences, to releasing our latest open-source tools, we have made a lot of progress and more exploration this year.

Polyglot AI Agents: WebAssembly Meets the Java Virtual Machine (JVM)

Leverage the JVM's polyglot capabilities to create a self-contained, enterprise-optimized server-side blueprint that combines the performance benefits of WebAssembly with the reliability and maturity of Java's ecosystem.

Introducing any-llm managed platform: A secure cloud vault and usage-tracking service for all your LLM providers

any-llm managed platform adds end-to-end encrypted API key storage and usage tracking to the any-llm ecosystem. Keys are encrypted client-side, never visible to us, while you monitor token usage, costs, and budgets in one place. Supports OpenAI, Anthropic, Google, and more.

Encoderfile v0.1.0: Deploy Encoder Transformers as Single Binary Executables

Encoderfile compiles encoders into single-binary executables with no runtime dependencies, giving teams deterministic, auditable, and lightweight deployments. Built on ONNX and Rust, Encoderfile is designed for environments where latency, stability, and correctness matter most.

mcpd-proxy: Centralized Tool Access for AI agents in VS Code, Cursor, and Beyond

With mcpd-proxy, teams no longer juggle multiple MCP configs. Run all servers behind one proxy and give every developer the same zero-config access inside their IDE.

Control LLM Spend and Access with any-llm-gateway

Gain visibility and control over your LLM usage. any-llm-gateway adds budgeting, analytics, and access management to any-llm, giving teams reliable oversight for every provider.

Can Open-Source Guardrails Really Protect AI Agents?

AI Agents extend large language models beyond text generation. They can call functions, access internal and external resources, perform deterministic operations, and even communicate with other agents. Yet, most existing guardrails weren’t built to protect these operations.

Run Any LLM with a Single API: Introducing any-llm v1.0

Run any model like OpenAI, Claude, Mistral, or llama.cpp from one interface. any-llm v1.0 delivers production-ready stability, standardized reasoning output, and auto provider detection for seamless use across cloud and local models.

llamafile Returns

Mozilla.ai is adopting llamafile to advance open, local, privacy-first AI—and we’re inviting the community to help shape its future.