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* feat(ui): give Operate a front door and fold six rail groups into four Opening Operate ran firstVisiblePath() and landed on Backends, because Backends happens to be written first in operateConsole.groups. The section that should answer "is anything wrong" opened on a package manager, and nothing was reported until you visited it. Adds /app/operate. Its one irreplaceable block is "Needs attention", which is empty when nothing is wrong and says so in a line rather than rendering a reassuring green panel. It collects stale backends, failed operations and unhealthy nodes. Everything else on the page is a summary you could already assemble by visiting four others. The rail regroups from six headings to four: Inference and Activity were both "the runtime right now", Access and System were both administration. No destination is removed and no gate changes, so isConsoleItemVisible and consolePaths are untouched. Overview leads the first group, which is what makes firstVisiblePath() return it without knowing it exists. Rail entries now carry a signal beside the label. This does not replace the sidebar badge and is not built as if it does: the badge stays on the always-visible sidebar entry for the reason recorded in Sidebar.jsx, that the rail exists only on Operate routes and can be collapsed. The signals are orientation while inside Operate, so they are aria-hidden and nothing urgent depends on them alone. OperateSummaryContext polls once for the whole console, following OperationsContext, which exists because per-consumer setInterval against one endpoint was the defect it fixed. It is mounted by ConsoleLayout for the Operate console only, so "poll only while in Operate" needs no route check. Built on usePolling, so it pauses on a hidden tab. Operations are read from OperationsContext rather than polled a second time, and each source degrades to no-signal on its own so one dead endpoint cannot blank the rest. It reads the cached GET /api/backends/upgrades and never the POST that forces a real registry check. Traces and Usage get no signal yet: /api/traces returns the list, so a count would mean fetching every trace to render one number. A counts endpoint is the honest fix and is scoped separately. Full e2e suite green (369 passed, 4 skipped), including a render-smoke entry for the new route. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] * feat(ui): open Studio on what this machine can actually make Studio was a tab strip over six generators that opened on Images, which was never a decision, only the first entry in BASE_TABS. Nothing said which modalities this installation could run, so the way to learn that video had no model was to pick the tab and find an empty select. Adds an overview tab and makes it the fallback. Explicit tabs still win, so existing deep links keep working; anything unrecognised or gated now lands on the overview rather than Images. Each tab carries a dot: filled when an installed model advertises that modality, hollow when nothing serves it. That is the feature in one detail, turning the strip from navigation into a report of what the machine can do before anything is clicked. The dot is aria-hidden because the overview states the same facts in words and the dots change as models load. Two kinds of unavailable, which had to stop looking alike: - switched off, via a permission: no tab and no lane, unchanged - available with no model: a lane, and a route to installing one Studio now owns one MODALITIES table so the tab strip and the overview cannot disagree about what exists, and calls useModels() once, unfiltered, grouping in the browser. useModels(capability) fetches the whole list and filters locally, so a hook per modality would have been six identical requests to /api/models/capabilities on every mount. There is a test for that. Recent outputs read every localStorage store through a new readAllMediaHistory(), which avoids mounting five hooks that carry save timers the overview has no use for. 3D is read separately through use3DHistory rather than folded in: its entries are GLB blobs in IndexedDB, so they cannot come from the same synchronous read. Typical cost is the median of this machine's own history, not a guess, and renders as a dash when there is nothing to go on. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] * fix(ui): stop the stat cards and the console rail breaking on small screens Two unrelated causes behind one report that /app/manage looks wrong when the window is narrow. The stat cards were being laid out by the wrong rule at every width. Two different components both claimed `.stat-grid`: the dashboard card strip that holds .stat-card children, and the detail-pane StatGrid the split views introduced further down App.css. Being later, the second won every shared property, so the cards got its 120px columns and its 1px hairline gap in place of their own 180px columns and spacing-md. Four cards were packed onto a row that fits two, labels wrapped to three lines and clipped, and the icon crowded the value. Renamed the strip to `.stat-cards`, after the children it actually holds, which also removes the mismatch of a `.stat-grid` container full of `.stat-card`s. The split-view component keeps `.stat-grid` and its BEM parts. The expanded console rail had no bounded height. Thirteen destinations stacked in one column is taller than a phone, so opening the menu pushed the page's own heading past the fold: the menu replaced the page rather than annotating it. Capped at 55vh with internal scrolling below 768px, so the content behind stays reachable. Both are asserted on behaviour rather than markup: no stat-card label may be clipped, the card gap must not be the detail pane's hairline, and expanding the rail must leave the page heading on screen. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] * feat(ui): retemper the palette to localai.io and add the lane primitive The token half of the style transfer, plus the shared list idiom the two overviews had each grown their own copy of. theme.css moves from Nord to the website's palette, variable names preserved so every consumer moves with it: ground #13171f -> #0d1117, accent frost cyan #88c0d0 -> action blue #4f8cff, success sage -> mint #56d6a4, warning -> the amber #f1b95d the site spends only on the thing asking for a decision. Eyebrows go mint. Dividers become an opaque #29384a hairline rather than alpha over a varying surface, which is what makes stacked surfaces read crisply on the site. Light is derived, not inverted. The site ships one theme and never had to answer this, but the app does: blue darkens to #2f62d8, mint to #0d8b60 and amber to #8a5d0b, all clearing 4.5:1 on a cool paper ground, where the dark-mode values sit near 2:1. Same three roles, different values. Three files restate the palette because CSS variables cannot reach them: cmTheme.js (the whole CodeMirror theme), VoiceVisualizer and WaveformPlayer (canvas). Left alone they would have quietly kept the app half-Nord. The `.lane` primitive replaces the near-identical row CSS that OperateOverview and StudioOverview had each written: a full-bleed row on a hairline that insets on hover, with no card and no shadow. Callers supply only the column template. Both pages now use it, along with `.lane-head` for section rhythm and a `.page-pad` container for top-level pages outside a console shell — without which Studio sat flush against the sidebar with its eyebrow clipped. Studio's tab strip wraps rather than running off the edge at narrow widths. Full e2e suite: 386 passed, 4 skipped. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] * feat(ui): put Home's resident models on lanes and give the footer one line Home's status line was three chips saying a thing was true. It now reports figures: how many models are resident, how many nodes are healthy, what share of memory is in use, set in tabular monospace so the digits line up. A chip answers whether; a figure answers how much, which is what someone opening the page at a glance is after. Resident models move from status chips to lanes, with the id set in a new `.lane__name--id` because an id is something you might type or paste and the UI face makes it read as a label. /api/system-information carries only the id, so there is deliberately no backend or memory column: inventing one would mean a server change this does not make. The footer was three centred rows and cost the bottom sixth of every page for chrome. It is one line now, version left and links right, wrapping to centred when the viewport is too narrow to hold both. Every link it had, it keeps. Full e2e suite: 392 passed, 4 skipped. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] * fix(ui): correct three contrast failures and stop a guaranteed-404 poll A contrast audit of the new palette found three values below WCAG AA, one of which the previous commit message claimed was fine: - White on the #4f8cff button is 3.22:1, which is large-text only. The website does exactly this, but a button label in an app is not large text, so the label goes to dark ink at 5.88:1. Light mode keeps white, which is 5.44:1 on its darker blue. - Light-mode success was 4.08:1 on paper, not the 4.5 claimed. Darkened to #0a734f, 5.56:1. - Nord red was already 4.28:1 on raised surfaces, a pre-existing miss carried over unexamined. Lifted to #c96f78, 5.02:1. Lanes gain the two states they were missing: a 44px target on coarse pointers, matching what EntityRail already does so the two list idioms feel the same under a thumb, and a reduced-motion variant that keeps the background feedback while dropping the hover inset, which is a position change. The Operate summary no longer asks for /api/nodes on a single-node install. The cluster API answers 503 when distributed mode is off, so it was a guaranteed miss every fifteen seconds; it is now gated on useDistributedMode, the same condition the rail already uses for the Nodes entry. Full e2e suite: 392 passed, 4 skipped. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] * fix(ui): restore the gap between overview blocks, and stop claiming zero nodes Two defects a design review surfaced. `.lane-head:first-child { margin-top: 0 }` was meant to stop the first block on a page carrying a top margin. But every <section> makes its lane-head a first child, so the reset applied to all of them and the gap between blocks vanished: "Sections" sat flush against the attention row above it. The header supplies its own bottom margin, so a uniform top margin is correct everywhere. The Cluster summary read "0 nodes" on a single-node install, which looks like a fault when the cluster API is simply switched off. It now says "Single node". Full e2e suite: 392 passed, 4 skipped. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] * feat(ui): open dark by default, and stop clipping the collapsed sidebar footer Dark is the identity rather than a preference: localai.io ships one theme and it is this one, so an install should look like LocalAI before anyone has chosen anything. The OS setting no longer selects light on first load. The toggle still does, and a stored choice wins forever after, which the tests assert both ways. The collapsed sidebar footer stacked its controls but kept the expanded row's inline padding, so their edges were clipped against the 51px rail. Full e2e suite: 394 passed, 4 skipped. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] * feat(api): count traces server-side and give the Operate overview real totals The overview's headline block had no source. /api/traces returns the trace list, so "37 errors in 24h" meant fetching every buffered exchange to count it in the browser — waste that grows with the buffer, to produce three integers. Adds GET /api/traces/summary: totals, failures, p95 and a bucketed series for sparklines, over a window that defaults to 24 hours and is capped at a week. Deliberate calls, each with a spec: - A 4xx is the caller getting it wrong, not the installation being unhealthy, so only 5xx and transport errors count as failures. - p95 is a nearest-rank percentile rather than the slowest request, which is what a max would report and what makes latency panels lie. - Buckets are oldest-first so a sparkline reads left to right, and the slice is never nil: nil serialises as null and breaks .map() on the other side, which is a silent runtime error rather than an empty chart. - Exchanges outside the window are not counted at all. The route is registered before /api/traces/:id so "summary" is not captured as a trace ID. On the client, Traces and Usage gain the rail signals they were shipped without, the Observability section summary now states counts instead of listing its destinations, and an installation that has served nothing says so rather than showing three zeroes dressed as telemetry. Sparkline is a bare stroke with an emphasised endpoint and no axes: the figure above it already states the value, so its only job is the shape. Go: 185 middleware specs pass. Full e2e suite: 396 passed, 4 skipped. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] * fix(ui): stop the memory chart calling a trade-off an error The VRAM-by-context chart rendered any build over the limit in error red, and escalated the verdict to the error tone as soon as two context sizes crossed it. But an over-limit build still installs — #11288 keeps a test on exactly that — so red overstates what is happening. A model that fits at 32k and not 64k is a trade-off, not a fault. Over-limit bars and the limit line now use the warning tone, which is the constraint colour used everywhere else in this branch: know what you are doing, not you may not. The error tone is reserved for "fits nowhere", where the model genuinely cannot run on this host. Full e2e suite: 397 passed, 4 skipped. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] * feat(ui): give the new surfaces orchestrated motion Uses the reveal system already in the codebase rather than adding a library: pageReveal, .reveal-stagger and staggerStyle() were built for exactly this, and anime.js would be ~17KB duplicating four lines of CSS for list reveals. The overview's headline figures, attention rows and section lanes stagger in, as do Studio's modality lanes and recent outputs, so a page assembles in the order it is read instead of appearing all at once. Two additions beyond stagger. Rail signals transition on opacity when a poll lands, so a number changing reads as an update rather than a jump cut, and it stays on the compositor so it cannot reflow the rail. The attention block animates its left edge in — the one thing on the page that should announce itself, and on the border rather than the text so nothing moves under a reader. Both are dropped entirely under prefers-reduced-motion, alongside the lane hover inset already handled. Full e2e suite: 397 passed, 4 skipped. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] * feat(ui): put the generators on a hairline field stack and record the request The workbench treatment from the mocks, applied where it costs least: both changes land on shared surfaces, so all six generators get them at once rather than drifting apart page by page. The control column stops being a shadowed card of boxed groups and becomes a hairline field stack — the panel is the page's left half, not an object floating on it — with uppercase micro-labels matching the eyebrow treatment used elsewhere. Because .media-controls is shared, Images, Video, 3D, Speech, Sound and Audio FX all move together. RequestPanel shows the request the form actually built, with a copy-as-curl. LocalAI is API-first and Studio is the best place in the app to teach its own endpoints: the form stops being a black box, and a result worth keeping can be reproduced from a shell without reverse-engineering which fields the page sent. It records what was sent rather than what the form currently holds, and renders nothing until a request has been made — a panel describing a request nobody made is a tutorial, not a record. Wired into Images and Speech. Full e2e suite: 401 passed, 4 skipped. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] * feat(ui): make Chat a transcript instead of a bubble thread Rounded, filled, asymmetric bubbles fight a system built on hairlines, and they carry the speaker in shape and side rather than in words. The assistant side had already given up its bubble; this finishes the job. Both roles now run full width down one column, separated by a rule, each with a mono role label. The user turn keeps a left edge in the action tone so the two are still told apart at a glance, without a fill or a corner radius. The avatars go: the accent and the label carry the speaker, so the glyph was decoration once neither side had a bubble. Saying who is speaking in words rather than in geometry is also what survives being read aloud, printed, or looked at by someone who cannot pick the sides apart by colour. Full e2e suite: 404 passed, 4 skipped. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] * feat(ui): dress the API reference in LocalAI's palette The Swagger page was the last surface still shipping in someone else's colours, which is conspicuous now that everything it links from is dark. Swagger UI has no theming hook, so rather than fork it we serve our own index ahead of the library's wildcard and restate the palette over its stylesheet. The library's own bundle and assets are still what load, so a swagger-ui upgrade cannot silently break the page — this is a skin, not a fork. Two things needed real care. Swagger tints the entire operation row per method via .opblock.opblock-post and friends, so the palette had to match that specificity rather than reach for !important; the method now lives on one edge instead of washing across the row, because a page where every row is a status colour has no status colour left. And the filled method chip put white on pale green, which was the least readable thing on the page — it is an outlined mono chip now, carrying the method in its border and text. Palette values are copied from theme.css rather than referenced: this page is served by Go and never sees the app's CSS. The comment says so, and says to keep them in step. Go: routes and middleware suites pass. Full e2e suite: 405 passed, 4 skipped. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] * fix(ui): make tall split-view pages reachable, repair the Agents header, scale titles Three things found by actually using the app rather than measuring it. **Host was unusable.** The shell above a split view is overflow:hidden so the document cannot grow, which left anything taller than the viewport simply unreachable — and Host stacks a resources card, four stat cards and a tab bar above its split, so the bottom of the pane fell off at every window height with nothing to scroll. Every sweep I ran for this was horizontal, which is why it kept coming back clean. The page now scrolls inside the pinned shell. The pane keeps its own scroller: letting it grow instead pushes the document taller and stretches the rail to match, which is the regression e2e/discover-height.spec.js exists to catch, and which the first version of this fix duly caused. **The Agents header controls were unstyled** — "Create Agent" was rendering with the browser's default chrome. The markup had been mangled at some point: six unrelated classes merged into one string on the link, and the label and button left with none at all and empty icons. Repaired, with the inline flex replaced by a shared .header-actions class. **Page titles take the editorial scale from the site**: larger, tracked at -0.04em, on a line height near 1, so a two-word title reads as a statement rather than a label. The typeface is unchanged — DESIGN.md keeps the existing type system — so the whole difference is scale, tracking and leading, which is where the site gets its voice from. This was the biggest reason the running app still did not look like the mocks. Full e2e suite: 404 passed, 4 skipped. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Edit] [Bash] --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
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LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
A small core, not a bundle. Each backend wraps a best-in-class engine (llama.cpp, vLLM, whisper.cpp, stable-diffusion, MLX...) in its own image, pulled only when a model needs it. You install nothing you don't use.
- Composable by design: backends are separate and pulled on demand, so you install only what your model needs
- Open and extensible: load any model, or build your own backend in any language against an open interface
- Drop-in API compatibility: OpenAI, Anthropic, and ElevenLabs APIs across every backend
- Any model, any modality: LLMs, vision, voice, image, and video behind one API
- Any hardware: NVIDIA, AMD, Intel, Apple Silicon, Vulkan, or CPU-only
- Multi-user ready: API key auth, user quotas, role-based access
- Built-in AI agents: autonomous agents with tool use, RAG, MCP, and skills
- Privacy-first: your data never leaves your infrastructure
Created by Ettore Di Giacinto and maintained by the LocalAI team.
📖 Documentation | 💬 Discord | 💻 Quickstart | 🖼️ Models | ❓FAQ
Guided tour
https://github.com/user-attachments/assets/08cbb692-57da-48f7-963d-2e7b43883c18
Click to see more!
User and auth
https://github.com/user-attachments/assets/228fa9ad-81a3-4d43-bfb9-31557e14a36c
Agents
https://github.com/user-attachments/assets/6270b331-e21d-4087-a540-6290006b381a
Usage metrics per user
https://github.com/user-attachments/assets/cbb03379-23b4-4e3d-bd26-d152f057007f
Fine-tuning and Quantization
https://github.com/user-attachments/assets/5ba4ace9-d3df-4795-b7d4-b0b404ea71ee
WebRTC
https://github.com/user-attachments/assets/ed88e34c-fed3-4b83-8a67-4716a9feeb7b
Quickstart
macOS
Note: The DMG is not signed by Apple. After installing, run:
sudo xattr -d com.apple.quarantine /Applications/LocalAI.app. See #6268 for details.
Containers (Docker, podman, ...)
Already ran LocalAI before? Use
docker start -i local-aito restart an existing container.
CPU only:
docker run -ti --name local-ai -p 8080:8080 localai/localai:latest
NVIDIA GPU:
# CUDA 13
docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-gpu-nvidia-cuda-13
# CUDA 12
docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-gpu-nvidia-cuda-12
# NVIDIA Jetson ARM64 (CUDA 12, for AGX Orin and similar)
docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-nvidia-l4t-arm64
# NVIDIA Jetson ARM64 (CUDA 13, for DGX Spark)
docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-nvidia-l4t-arm64-cuda-13
AMD GPU (ROCm):
docker run -ti --name local-ai -p 8080:8080 --device=/dev/kfd --device=/dev/dri --group-add=video localai/localai:latest-gpu-hipblas
Intel GPU (oneAPI):
docker run -ti --name local-ai -p 8080:8080 --device=/dev/dri/card1 --device=/dev/dri/renderD128 localai/localai:latest-gpu-intel
Vulkan GPU:
docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-gpu-vulkan
Loading models
# From the model gallery (see available models with `local-ai models list` or at https://models.localai.io)
local-ai run llama-3.2-1b-instruct:q4_k_m
# From Huggingface
local-ai run huggingface://TheBloke/phi-2-GGUF/phi-2.Q8_0.gguf
# From the Ollama OCI registry
local-ai run ollama://gemma:2b
# From a YAML config
local-ai run https://gist.githubusercontent.com/.../phi-2.yaml
# From a standard OCI registry (e.g., Docker Hub)
local-ai run oci://localai/phi-2:latest
To work with a running LocalAI server from the terminal, start the built-in agent from another shell. It answers questions, reads your files and runs commands on your machine, asking you to approve anything that changes state. Inside a session, /models lists installed models and /model <name> switches between them. See the Terminal agent docs.
# Terminal 1
local-ai run llama-3.2-1b-instruct:q4_k_m
# Terminal 2
local-ai chat --model llama-3.2-1b-instruct:q4_k_m
Automatic Backend Detection: LocalAI automatically detects your GPU capabilities and downloads the appropriate backend. For advanced options, see GPU Acceleration.
For more details, see the Getting Started guide.
Latest News
- June 2026: New native biometric backends from the LocalAI team: voice-detect.cpp for speaker recognition and voice analysis (ECAPA-TDNN, WeSpeaker, ERes2Net, CAM++, wav2vec2 age/gender/emotion) and face-detect.cpp for face detection, recognition, demographics and anti-spoofing (SCRFD/ArcFace, YuNet/SFace). Both are from-scratch C++/ggml engines with no Python or onnxruntime at inference, self-contained GGUF weights, bit-exact parity with the reference, and GPU cuDNN parity, replacing the heavier Python
insightfaceandspeaker-recognitionbackends (PR #10441). - June 2026: New realtime voice assistant demo (a tiny Go client for the Realtime API with a full talk-back voice loop and tool calling), plus streaming of the realtime LLM / TTS / transcription pipeline stages and configurable WebRTC ICE candidates.
- June 2026: Big speech push: the parakeet.cpp ASR engine gains NeMo-faithful segment timestamps, a multilingual streaming Nemotron-3.5 model, dynamic batching for concurrent transcription and CUDA graphs; the new CrispASR backend adds multi-architecture ASR + TTS, and 60 Piper TTS voices across 42 languages land in the gallery (plus per-request TTS instructions and params).
- June 2026: New backends and models: locate-anything.cpp for open-vocabulary object detection via ggml, Ideogram4 image generation in stablediffusion-ggml, llama.cpp video input, and the Gemma 4 QAT family with MTP speculative-decoding pairs. Plus an interactive CLI chat mode and RAG source citations in agent responses.
- June 2026: Distributed mode hardening: prefix-cache-aware routing, a production-ready request router with auto-sized embedding/rerank batches, ds4 layer-split distributed inference, NATS JWT auth + TLS/mTLS, and resumable file uploads.
- May 2026: LocalAI 4.3.0 -
llama.cppprompt cache on by default (repeated system prompts collapse from minutes to seconds), keyless cosign signing of backend OCI images, per-API-key + per-user usage attribution, Distributed v3 with per-request replica routing. Release notes - May 2026: LocalAI 4.2.0 - LocalAI sees and hears: voice recognition, face recognition + antispoofing liveness, speaker diarization. Plus drop-in Ollama API, video generation, redesigned UI with i18n + admin-configurable branding, vLLM at feature parity with llama.cpp, and 11 new backends. Release notes
- April 2026: LocalAI 4.1.0 - LocalAI becomes a control tower: distributed cluster mode with VRAM-aware smart routing + autoscaling, multi-user platform with OIDC and API keys, per-user quotas with predictive analytics, in-UI fine-tuning with TRL (auto-export to GGUF), on-the-fly quantization backend, visual pipeline editor. Release notes
- March 2026: LocalAI 4.0.0 - native agentic orchestration with the new Agenthub community hub, full React UI rewrite with Canvas mode, MCP Apps + client-side with tool streaming, WebRTC realtime audio, MLX-distributed. Release notes
- February 2026: Realtime API for audio-to-audio with tool calling, ACE-Step 1.5 support
- January 2026: LocalAI 3.10.0 — Anthropic API support, Open Responses API, video & image generation (LTX-2), unified GPU backends, tool streaming, Moonshine, Pocket-TTS. Release notes
- December 2025: Dynamic Memory Resource reclaimer, Automatic multi-GPU model fitting (llama.cpp), Vibevoice backend
- November 2025: Import models via URL, Multiple chats and history
- October 2025: Model Context Protocol (MCP) support for agentic capabilities
- September 2025: New Launcher for macOS and Linux, extended backend support for Mac and Nvidia L4T, MLX-Audio, WAN 2.2
- August 2025: MLX, MLX-VLM, Diffusers, llama.cpp now supported on Apple Silicon
- July 2025: All backends migrated outside the main binary — lightweight, modular architecture
For older news and full release notes, see GitHub Releases and the News page.
Features
- Text generation (
llama.cpp,transformers,vllm... and more) - Text to Audio
- Audio to Text
- Image generation
- OpenAI-compatible tools API
- Realtime API (Speech-to-speech)
- Embeddings generation
- Constrained grammars
- Download models from Huggingface
- Vision API
- Object Detection
- Reranker API
- P2P Inferencing
- Distributed Mode — Horizontal scaling with PostgreSQL + NATS
- Model Context Protocol (MCP)
- Built-in Agents — Autonomous AI agents with tool use, RAG, skills, SSE streaming, and Agent Hub
- Backend Gallery — Install/remove backends on the fly via OCI images
- Voice Activity Detection (Silero-VAD)
- Integrated WebUI
Supported Backends & Acceleration
LocalAI supports 60+ backends including llama.cpp, vLLM, SGLang, transformers, whisper.cpp, diffusers, MLX, MLX-VLM, and many more. Hardware acceleration is available for NVIDIA (CUDA 12/13), AMD (ROCm), Intel (oneAPI/SYCL), Apple Silicon (Metal), Vulkan, and NVIDIA Jetson (L4T). All backends can be installed on-the-fly from the Backend Gallery.
See the full Backend & Model Compatibility Table and GPU Acceleration guide.
Backends built by us
Most backends wrap a best-in-class upstream engine. A handful of them are native C/C++/GGML engines (no Python at inference) developed and maintained by the LocalAI project itself:
| Backend | What it does |
|---|---|
| vllm.cpp | From-scratch C++20 port of vLLM for text generation: paged KV cache, continuous batching, prefix caching, safetensors + GGUF loading, engine-enforced structured output, on CPU, CUDA, Metal and Vulkan |
| parakeet.cpp | C++/GGML port of NVIDIA NeMo Parakeet ASR (tdt/ctc/rnnt/hybrid), with cache-aware streaming transcription |
| moss-transcribe.cpp | C++/GGML port of OpenMOSS MOSS-Transcribe-Diarize: joint long-form transcription, speaker diarization and timestamping in a single pass |
| moss-tts.cpp | C++/GGML port of the OpenMOSS MOSS-TTS family: text-to-speech (MOSS-TTS-Local v1.5, 48 kHz stereo) with reference-audio voice cloning, through the MOSS-Audio-Tokenizer neural codec |
| magpie-tts.cpp | C++/GGML port of NVIDIA's Magpie TTS Multilingual 357M: 22.05 kHz mono text-to-speech in 5 voices and 9+ languages, with the NanoCodec neural codec and tokenizer/G2P embedded in a single GGUF |
| ced.cpp | C++/GGML port of the CED audio-tagging models: sound-event classification (527-class AudioSet) over REST and the realtime API for live recognition |
| voice-detect.cpp | Speaker recognition and voice analysis (ECAPA-TDNN, WeSpeaker, ERes2Net, CAM++, wav2vec2 age/gender/emotion), replacing the Python speaker-recognition backend |
| voxtral-tts.c | Mistral Voxtral-4B-TTS text-to-speech in pure C: 20 preset voices across 9 languages, 24 kHz WAV output, no dependencies beyond libc |
| vibevoice.cpp | Native port of Microsoft VibeVoice for TTS (voice cloning) and long-form ASR with speaker diarization |
| rf-detr.cpp | Native RF-DETR object detection and instance segmentation |
| locate-anything.cpp | Open-vocabulary object detection and visual grounding (LocateAnything-3B) |
| depth-anything.cpp | Depth Anything 3 monocular metric depth + camera pose estimation |
| face-detect.cpp | Face detection, recognition, demographics and anti-spoofing (SCRFD/ArcFace, YuNet/SFace), replacing the Python insightface backend |
| free-splatter.cpp | Pose-free 3D reconstruction (FreeSplatter): turns a handful of plain photos into 3D Gaussians, no camera poses or GPU required |
| trellis2.cpp | C++/GGML port of Microsoft TRELLIS.2: single-image to textured 3D mesh (GLB with PBR materials) |
| privacy-filter.cpp | Standalone GGML PII/NER token-classification engine powering LocalAI's PII redaction tier |
| LocalVQE | Joint acoustic echo cancellation, noise suppression, and dereverberation |
| local-store | Local-first vector database for embeddings (shipped in-tree) |
We also maintain apex-quant, a per-tensor, per-layer quantization recipe for Mixture-of-Experts models that exploits their structural sparsity to produce GGUFs matching or beating Q8_0 quality - and they run out of the box on stock llama.cpp.
Resources
- Documentation
- LLM fine-tuning guide
- Build from source
- Kubernetes installation
- Integrations & community projects
- Installation video walkthrough
- Media & blog posts
- Examples — including the realtime voice assistant demo (Go client for the Realtime API with tool calling)
Team
LocalAI is maintained by a small team of humans, together with the wider community of contributors.
- Ettore Di Giacinto — original author and project lead
- Richard Palethorpe — maintainer
A huge thank you to everyone who contributes code, reviews PRs, files issues, and helps users in Discord — LocalAI is a community-driven project and wouldn't exist without you. See the full contributors list.
Citation
If you utilize this repository, data in a downstream project, please consider citing it with:
@misc{localai,
author = {Ettore Di Giacinto},
title = {LocalAI: The free, Open source OpenAI alternative},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/go-skynet/LocalAI}},
Sponsors
Do you find LocalAI useful?
Support the project by becoming a backer or sponsor. Your logo will show up here with a link to your website.
A huge thank you to our generous sponsors who support this project covering CI expenses, and our Sponsor list:
Past sponsors
Individual sponsors
A special thanks to individual sponsors, a full list is on GitHub and buymeacoffee. Special shout out to drikster80 for being generous. Thank you everyone!
Star history
License
LocalAI is a community-driven project created by Ettore Di Giacinto and maintained by the LocalAI team.
MIT - Author Ettore Di Giacinto mudler@localai.io
Acknowledgements
LocalAI couldn't have been built without the help of great software already available from the community. Thank you!
- llama.cpp
- https://github.com/tatsu-lab/stanford_alpaca
- https://github.com/cornelk/llama-go for the initial ideas
- https://github.com/antimatter15/alpaca.cpp
- https://github.com/EdVince/Stable-Diffusion-NCNN
- https://github.com/ggerganov/whisper.cpp
- https://github.com/rhasspy/piper
- exo for the MLX distributed auto-parallel sharding implementation
Contributors
This is a community project, a special thanks to our contributors!