Project AIRI v0.11.3

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 v0.11.3 - Software Mirrors
Download Project AIRI v0.11.3 for IOS AIRI-0.11.3_.20.-ios.ipa | 167.79 MB Download Project AIRI v0.11.3 for Windows AIRI-0.11.3-windows-x64-setup.exe | 642.41 MB Download Project AIRI v0.11.3 for macOS AIRI-0.11.3-mac.zip | 772.47 MB Download Project AIRI v0.11.3 for Linux AIRI-0.11.3-linux-x86_64.rpm | 628.79 MB Download Project AIRI v0.11.3 for Linux AIRI-0.11.3-linux-x64.flatpak | 631.59 MB Download Project AIRI v0.11.3 for Linux AIRI-0.11.3-linux-arm64.flatpak | 507.9 MB Download Project AIRI v0.11.3 for Linux AIRI-0.11.3-linux-arm64.deb | 606.59 MB Download Project AIRI v0.11.3 for Linux AIRI-0.11.3-linux-amd64.deb | 748.58 MB Download Project AIRI v0.11.3 for Linux AIRI-0.11.3-linux-aarch64.rpm | 503.75 MB Download Project AIRI v0.11.3 for macOS AIRI-0.11.3-darwin-x64.dmg | 793.45 MB Download Project AIRI v0.11.3 for macOS AIRI-0.11.3-darwin-arm64.dmg | 783.89 MB Download Project AIRI v0.11.3 for macOS AIRI-0.11.3-arm64-mac.zip | 763.13 MB Download Project AIRI v0.11.3 for Android AIRI-0.11.3-android.apk | 194.65 MB
Project AIRI v0.11.3 Release Notes: v0.11.3 Highlights New Contributors @LFour86 made their first contribution in https://github.com/moeru-ai/airi/pull/2037 @panpan0000 made their first contribution in https://github.com/moeru-ai/airi/pull/2017 @zyr-ai made their first contribution in https://github.com/moeru-ai/airi/pull/2064 @ayobamiseun made their first contribution in https://github.com/moeru-ai/airi/pull/2078 @binyangzhu000-sudo made their first contribution in https://github.com/moeru-ai/airi/pull/2076 @lee101 made their first contribution in https://github.com/moeru-ai/airi/pull/1980 Product Updates Desktop Companion You can now use voice input directly in the desktop companion. AIRI listens through the configured microphone, buffers short transcript fragments, and avoids feeding its own speech back into chat while it is talking. You can now move the desktop window back to the center of the current display from the controls island or the desktop data settings. This helps recover AIRI when the window gets awkwardly positioned or ends up hard to reach. Microphone permission handling is more reliable in the Electron app, while still limiting permission grants to AIRI-owned local pages. Desktop sign-in is more robust. Invalid auth callbacks no longer consume the one-time login flow, and the standalone auth UI now accepts the newer AIRI backend origin. Settings entry icons are now preserved in production builds, so settings navigation should no longer lose icons after bundling. Character Cards And Models Character cards can now be imported and exported as AIRI .zip packages. Exported packages include the character card plus supported display model resources, so sharing a character can carry more of the setup with it. Invalid or incomplete card packages now show clearer import errors. Live2D model loading now handles non-ASCII file names inside restored model folders and avoids double-encoding already encoded paths. Account And Cloud Reliability AIRI now records AI generation, LLM usage, Stripe identity, and checkout-related analytics more consistently. This improves billing, support investigation, and product health tracking without changing the visible checkout flow. PostHog event naming and forwarding were normalized across app and server surfaces, making account and usage events easier to correlate. To Developers @proj-airi/pipelines-audio received stronger event typing, playback manager cleanup, ACT payload normalization, transcript buffering, and clearer error handling for speech and playback flows. Chat/LLM runtime paths now carry usage metadata more consistently, including server-side OpenAI-compatible request handling and downstream analytics headers. Auth callback handling now validates OIDC state inside the loopback server before resolving the login attempt. To Contributors Grafana server dashboards and related build tests were refreshed. .env files are now ignored to reduce accidental credential leakage. Nix Xorg attributes were updated for current package structure. Claude Code dependencies, sponsor data, and generated translations were refreshed. The release bumps AIRI packages and apps to 0.11.1. Upgrade Notes Character card import now expects AIRI .zip packages instead of raw .json card files. Full Changelog: https://github.com/moeru-ai/airi/compare/v0.11.0...v0.11.1 Full Changelog: https://github.com/moeru-ai/airi/compare/v0.11.0...v0.11.3

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:
2026-07-19T18:03:44.447Z
Categories:

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