Project AIRI v0.11.0

Project AIRI is an open source self hosted AI companion and AI VTuber framework developed by the Moeru AI community. The project is designed to build interactive virtual characters capable of real time voice conversations, gameplay interaction, animated avatar rendering, and long term memory systems.

The platform supports:

• Live2D and VRM avatars

• Real time speech interaction

• Local or cloud LLM integration

• Memory systems using databases like DuckDB and PGVector

• Minecraft and Factorio interaction

• Browser, desktop, and mobile deployment

• Discord and multi platform integrations

Recent 2026 builds also expanded support for macOS, Linux, Windows, and mobile deployment while improving plugin architecture and AI interaction systems.

Project AIRI has quickly become one of the most talked about open source AI companion ecosystems in the AI VTuber and autonomous character community. Inspired heavily by projects like Neuro-sama, AIRI aims to create persistent virtual AI companions capable of voice interaction, gameplay participation, memory retention, and animated digital presence across multiple platforms.

Unlike standard chatbot applications, AIRI focuses on creating what its developers describe as “virtual cyber beings” rather than simple text assistants. The result is a much more experimental but also far more immersive AI experience.

Key Features of Project AIRI

• Self Hosted AI Companion Architecture
  One of AIRI’s biggest strengths is ownership. Users can self host the platform locally rather than relying entirely on centralized subscription services.

• AI VTuber and Virtual Avatar Support
  AIRI integrates Live2D and VRM character rendering with facial animation, blinking, tracking, and expressive interaction systems.

• Real Time Voice Interaction
  The platform supports speech recognition and speech synthesis for natural voice based interaction with virtual characters.

• Game Interaction Systems
  Project AIRI can interact with games such as Minecraft and Factorio using AI driven gameplay assistance and autonomous actions.

• Persistent Memory Systems
  Unlike disposable chat sessions, AIRI aims to create persistent digital personalities capable of remembering long term interactions through local memory databases.

• Plugin and Developer Ecosystem
  The project includes modular architecture and extensibility systems for developers building custom AI companion behaviors and integrations.

Download Project AIRI v0.11.0 - Software Mirrors
Download Project AIRI v0.11.0 for Windows AIRI-0.11.0-windows-x64-setup.exe.blockmap | 672.77 kB Download Project AIRI v0.11.0 for Windows AIRI-0.11.0-windows-x64-setup.exe | 642.37 MB Download Project AIRI v0.11.0 for macOS AIRI-0.11.0-mac.zip.blockmap | 807.12 kB Download Project AIRI v0.11.0 for macOS AIRI-0.11.0-mac.zip | 772.37 MB Download Project AIRI v0.11.0 for Linux AIRI-0.11.0-linux-x86_64.rpm | 628.8 MB Download Project AIRI v0.11.0 for Linux AIRI-0.11.0-linux-arm64.deb | 606.35 MB Download Project AIRI v0.11.0 for Linux AIRI-0.11.0-linux-amd64.deb | 748.58 MB Download Project AIRI v0.11.0 for Linux AIRI-0.11.0-linux-aarch64.rpm | 503.73 MB Download Project AIRI v0.11.0 for macOS AIRI-0.11.0-darwin-x64.dmg.blockmap | 843.29 kB Download Project AIRI v0.11.0 for macOS AIRI-0.11.0-darwin-x64.dmg | 793.15 MB Download Project AIRI v0.11.0 for macOS AIRI-0.11.0-darwin-arm64.dmg.blockmap | 829.88 kB Download Project AIRI v0.11.0 for macOS AIRI-0.11.0-darwin-arm64.dmg | 783.72 MB Download Project AIRI v0.11.0 for macOS AIRI-0.11.0-arm64-mac.zip.blockmap | 798.08 kB Download Project AIRI v0.11.0 for macOS AIRI-0.11.0-arm64-mac.zip | 763.04 MB
Project AIRI v0.11.0 Release Notes: v0.11.0 Highlights Product updates Chat, voice, and stage You can now stop AIRI's speech manually from the stage UI, including the desktop and mobile layouts. Tool calls can now be retried from chat, so failed extension/gamelet actions do not always require starting over. Chat sync is more reliable when moving between desktop stage routes. Speech settings now support Voice Pack model selection, recommended voices, and better handling for "no speech" setups. Voice input and transcription flows were cleaned up, including hearing controls, audio device handling, and streaming transcription behavior. Chat actions now give clearer copy feedback, and desktop connection settings now expose copy-friendly connection details. New providers and models Google Gemini TTS is now available as a speech provider. AIRI's official speech stack now includes Aliyun NLS ASR, StepFun TTS, default TTS model handling, generated voice previews, and official provider catalog routing. Vision provider settings were added for providers such as Ollama, LM Studio, Cloudflare Workers AI, Azure AI Foundry, Amazon Bedrock, and official providers. Avatars and stage rendering Spine 2D model support is now integrated, with model settings, preview support, animation handling, and runtime validation. Live2D and VRM behavior is smoother: lip sync is less likely to be overridden by motions, Live2D zip loading is more reliable, and several missing default values were restored. The experimental Godot stage sidecar gained VRM runtime import, camera control, a new visual baseline, avatar glow, and rim lighting. Desktop fixes Desktop now prevents duplicate app instances. Language choice persists correctly in the Electron app. Tray resizing now anchors to the dominant display. The updater path and exit behavior were fixed. Several widget, Spine preview, tooltip, Unicode, and hearing-control issues were cleaned up. Account and billing Account linking now works better across different email providers, with clearer OAuth account selection and error handling. The account UI moved to accounts.airi.build. FLUX checkout from the Electron desktop renderer was unblocked. Billing for server-side usage is stricter and more reliable, including partial-debit handling to prevent unpaid usage gaps. Fixes worth scanning for Provider validation now only applies to providers that are actually listed. Provider source filters now use corrected categories. Artistry now defaults to no provider instead of selecting one unexpectedly. Character card module selections now sync back to the active character card. Streaming TTS requests are gated more safely, and TTS session isolation was hardened. Official voice preview URLs are now exposed correctly. Auth callback trust handling was tightened. Social-only email sign-in hints are clearer. To developers The server now has an in-process LLM/TTS gateway with official alias routing, upstream attempt propagation, structured OpenAI-compatible request logging, and streaming TTS catalog support. Server health checks moved to Kubernetes-style /livez and /readyz probes. The official provider catalog is now managed server-side, including catalog gating and official ASR/LLM alias policy. better-ws was added and server runtime WebSocket handling was refactored around liveness, routing, codecs, and response handling. Plugin terminology and APIs moved toward "extension" naming, with new extension entrypoint/session APIs and updated SDK surfaces. Gamelet/widget integrations now support coordinated iframe requests and retriable tool calls. The DashScope CosyVoice adapter moved to the v2 two-step REST flow. Docker builds now install needed build dependencies and run package build steps more reliably. To contributors cap-vite now auto-selects the first available native device when no target is specified. Playwright was upgraded to avoid install hangs on Node 24. CI now repairs pnpm lockfile snapshots, automates sponsor-update PRs, mirrors release assets to GitCode, and includes Godot stage publishing. The workspace dependency setup moved further into catalogs. Docs were refreshed with desktop quick-start updates, install tips, AtomGit acknowledgements, and a character card template reference. Computer-use MCP gained terminal screen heuristics, bounded terminal capture, background scheduler improvements, browser repair suggestions, and safer cleanup for timed-out terminal processes. The Minecraft service gained stronger perception, reflex, combat, and planning behavior. Upgrade notes Server operators should update health checks from legacy endpoints to /livez and /readyz. Deployments using the old auth UI host should move to accounts.airi.build. Server TTS deployments should review the newer UNSPEECH_UPSTREAM configuration and official provider catalog setup. Extension/plugin authors should review the plugin-to-extension rename and update manifests/APIs where applicable.

User Experience

Project AIRI feels far more like an experimental AI ecosystem than a polished mainstream consumer app.

For technical users, this is actually part of the appeal. AIRI gives developers and enthusiasts substantial control over:

• LLM providers

• Character personalities

• Voice systems

• Rendering pipelines

• Game integrations

• Memory architecture

• Local hosting infrastructure

The interface itself is visually impressive, especially when paired with VRM or Live2D avatars. Modern builds resemble a hybrid between VTuber software, AI agent frameworks, and desktop companion systems.

However, setup complexity remains one of the platform’s biggest barriers. Running AIRI properly often involves configuring models, APIs, GPU acceleration, memory systems, and external integrations. Beginners expecting a one click chatbot experience may feel overwhelmed.

Performance and Hardware Requirements

Performance depends heavily on how AIRI is configured.

Local LLM inference, voice synthesis, avatar rendering, and game interaction can become resource intensive quickly, especially when running fully self hosted workflows with GPU acceleration.

The project supports WebGPU, CUDA, and Apple Metal acceleration in supported environments. Users with powerful GPUs generally report significantly smoother real time interaction experiences.

Electron and web based architecture choices also mean memory usage can become relatively high compared to lightweight native applications.

Open Source Ecosystem and Community

One reason AIRI has gained so much momentum is its positioning within the rapidly growing AI companion and autonomous VTuber movement.

The project’s GitHub ecosystem has expanded rapidly throughout 2026 with repositories related to:

• AI VTubers

• AI gameplay systems

• Live2D tooling

• multimodal AI workflows

• browser based inference

• memory systems

• AI gaming agents

Community interest is especially strong among:

• AI hobbyists

• VTuber communities

• self hosted AI users

• anime communities

• experimental AI developers

• autonomous agent researchers

The open source approach also differentiates AIRI from closed commercial AI companion platforms by allowing far greater customization and ownership.

Privacy and Ethical Considerations

AIRI strongly emphasizes self hosted deployment and user ownership, which is appealing for privacy conscious users.

However, AI companion systems naturally raise broader concerns regarding:

• emotional dependency

• parasocial relationships

• moderation

• AI generated behavior unpredictability

• privacy of voice and memory data

As with most rapidly evolving AI ecosystems, long term social implications remain actively debated.

Pros

• Extremely ambitious AI companion platform

• Open source and self hosted

• Excellent Live2D and VRM support

• Real time voice interaction

• Persistent memory architecture

• Cross platform support

• Strong developer ecosystem

• Active 2026 development momentum

Cons

• Complex setup process

• High hardware requirements for advanced workflows

• Rapid development can introduce instability

• Electron architecture can consume significant memory

• Not beginner friendly

• AI companion category still highly experimental

Project AIRI is ideal for AI enthusiasts, developers, VTuber creators, self hosted AI users, anime communities, and users interested in building persistent virtual AI companions beyond traditional chatbot experiences.

It is especially appealing for users who enjoy experimenting with autonomous AI agents, character systems, and multimodal interaction platforms.

Project AIRI is one of the most ambitious open source AI companion ecosystems currently evolving in 2026. Its combination of self hosted AI infrastructure, animated virtual characters, real time voice interaction, memory persistence, and gameplay integration makes it stand out dramatically from ordinary chatbot applications. While the platform remains technically demanding and highly experimental, its rapid development pace and visionary scope make it one of the most fascinating AI projects in the modern open source ecosystem.

Free

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Software Informations:
Developer:
Moeru AI community
Operating System:
Windows / macOS / Linux / iOS / Android
Date Added:
2026-07-08T18:02:53.882Z
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