blumi

Bring your own everything. What you configure is what you get.
A local-first, provider-agnostic agentic coding companion — one Rust core, three faces: a terminal UI, a web UI, and a phone app.

🌸 rose → lavender → violet → cyan — the Living Rose palette across every surface 🩵

⭐ If blumi puts your idle compute to work, give it a star — it helps others find it.

What is blumi?

blumi is a local-first, open-source, provider-agnostic AI coding agent you run on your own machines — one Rust core with a terminal UI, a web UI, an always-on gateway, and a phone app (blugo). It is BYOK (bring your own key): you point blumi at any model provider you choose, your code and keys stay on your hardware, and the bundled local embedding model means memory and code search need no API key and nothing leaves your machines.

Concretely, blumi is a single Rust binary whose UI-agnostic core emits one typed event stream, so every surface shows the same session: a crush-inspired terminal UI, an embedded React web UI, an always-on gateway, and blugo — a Flutter phone app that's a 1:1 mirror of the TUI (terminal UI), optimized for foldables. Several gateways that share one secret form a distributed grid that fans a single task across every machine you own.

At a glance / Key facts

Fact	Detail
What it is	Local-first, provider-agnostic AI coding agent (one Rust binary)
License	Apache-2.0 — permissive, with an explicit patent grant
Version	0.6.0
Platforms	macOS, Linux (the CLI); Android (the blugo phone app)
Model access	BYOK (bring your own key) — any provider: OpenAI-compatible, Anthropic, Azure Foundry, Gemini, or a local server (Ollama / vLLM / llama.cpp)
Privacy	Local-first; your code, keys, and private `user` memory stay on your machines
No key needed for memory	Bundled local embedding model (`bge-small`, 384-dim) powers RAG (retrieval-augmented generation) memory + code search offline
The three faces	Terminal UI (`blumi tui`), web UI (`blumi web`), phone app (blugo) — plus an always-on gateway (`blumi serve`)
The grid	Same-secret gateways auto-discover over the LAN (mDNS `_blumi._tcp`) and share work
Built with	Rust (core/CLI), Flutter (blugo), SQLite (persistence)
Self-hosted	Runs entirely on hardware you own — no cloud server, no daemon required

One-line install:

curl -fsSL https://raw.githubusercontent.com/ankurCES/blumi-cli/main/install.sh | sh

Terminal UI (`blumi tui`)	Phone app (blugo)

📖 Docs · Install · Configure · CLI · Gateway · Mobile · Grid · Memory · Voice · Self-Management · Troubleshooting · FAQ
_{Full setup & step-by-step guides → the Wiki}

How is blumi different?

blumi is different from typical cloud AI coding tools in three ways: it runs on your own machines (local-first, self-hosted), it is provider-agnostic (BYOK — bring any model, no vendor lock-in), and it turns every device you own into one distributed AI grid. The same Rust core drives a terminal UI, a web UI, an always-on gateway, and a phone app, so one session is live everywhere at once. Memory and code search use a bundled local embedder, so they work offline with no API key. The three highlights below — the grid, private compounding memory, and self-healing — are what set blumi apart.

🌐 One grid, every machine you own

blumi turns the idle compute on your LAN into a single distributed AI grid. Point several blumi serve gateways at the same secret and they auto-discover each other; then fan one task across all of them — from the terminal, the web UI, or right from your phone — and each machine runs its share and reports back, tagged by hostname and OS. When compute is expensive, none of yours sits idle. → jump to Grid (distributed).

One job, four faces: a MacBook Air (Apple Silicon), a MacBook Pro (the orchestrator), a Linux laptop (x86_64), and the blugo phone app — every node running blumi, sharing the work.

Delegate a task across the grid from your phone (left) — pick a peer or broadcast to all — and watch every machine answer (right). No model tool-calling required.

🧠 Private memory that compounds — and code it understands

blumi remembers across sessions with a bundled local embedding model (no API, nothing leaves your machines): each turn it recalls what's relevant and folds it into context. With SEDM governance those memories are deduped on write, utility-scored, consolidated, and diffused across the grid — what one machine learns, the others pick up — while your private user notes never leave the node. It also indexes your repos into a local code knowledge base, so the agent can code_search where something lives before it edits. → Memory and code intelligence.

⚕ Heals its own failures — and uses your GPU

When a tool call fails, blumi classifies it, takes a budgeted recovery action, and emits a trace you can watch (⚕ self-heal …) — then remembers the fix so a similar failure recalls it next time, shared across the grid. Recurring failures get mined into auto-written recovery skills (low-risk; risky changes ask first). Meanwhile the bundled embedder runs on the GPU when present — Apple CoreML/Metal out of the box on Apple Silicon, NVIDIA CUDA opt-in — falling back to CPU otherwise. → Self-healing & evolution · GPU acceleration.

Part 1 — blumi CLI

The agent itself: a terminal UI, a one-shot headless runner, an embedded web UI, and an always-on gateway. One binary, no daemon required.

How do I install blumi?

Install blumi with a single shell command on macOS or Linux:

curl -fsSL https://raw.githubusercontent.com/ankurCES/blumi-cli/main/install.sh | sh

Installs the blumi binary into ~/.local/bin (override with BLUMI_INSTALL_DIR) — a prebuilt release when available, otherwise a cargo build from source (needs a Rust toolchain, https://rustup.rs).

Other ways to install

# from source with cargo (needs Rust)
cargo install --git https://github.com/ankurCES/blumi-cli --locked blumi

# or clone and build
git clone https://github.com/ankurCES/blumi-cli && cd blumi-cli
cargo install --path crates/blumi --locked

See Installation for per-OS notes.

Quick start

blumi login          # pick a provider, paste a key/endpoint, choose a model
blumi                # start the terminal UI (default when attached to a TTY)
blumi run "explain src/main.rs"     # one-shot / pipeable / headless
blumi web            # embedded React web UI + HTTP/SSE server

Configuration lives in ~/.blumi/settings.json (and a per-project .blumi/). Providers, keys, models, personas, permissions, executor, voice, and the grid are all set there or via blumi login / the in-app settings. See Configuration.

Fold-open / wide layout: explorer │ chat │ agent rail.

Surfaces

Command	What it does
`blumi` / `blumi tui`	Interactive terminal UI (default on a TTY)
`blumi run "<prompt>"`	One-shot / headless / pipeable agent run
`blumi web`	Embedded React web UI + HTTP/SSE server
`blumi serve`	Always-on gateway for the blugo phone app (run/pair/install/start/stop/status)
`blumi loop`	Autonomously work the task board: select → run → advance, repeat
`blumi task`	Manage the task board (the work queue for `blumi loop`)
`blumi gateway`	Run as a messaging bot (Telegram/Discord/Slack/WhatsApp)
`blumi accel`	Inspect the GPU/accelerator: `detect` / `status` / `doctor` (setup hints)
`blumi cron` / `playbook` / `skills` / `mcp` / `session` / `stats`	Automations & management

Run blumi <command> --help for any subcommand. Full reference: CLI Usage.

Architecture

One UI-agnostic core emits a single typed event stream, so the terminal UI, the web UI, and the blugo phone app are all just renderers of the same session. A turn flows Command → session actor → tools → grid, and streams back as Events that re-render every surface.

Always-on gateway

Run blumi as a background service so a phone (or browser) can reach it over your LAN:

blumi serve pair                       # set a password, print the LAN URL + QR for blugo
blumi serve install --host <LAN-ip>    # install as a launchd (macOS) / systemd-user (Linux) service
blumi serve status                     # is it up? URL + pid

It auto-advertises over mDNS (_blumi._tcp) so blugo discovers it on the same Wi-Fi. Guide: Gateway (blumi serve).

Grid (distributed)

Grid task execution: a task from blugo → the orchestrator → fanned to every live peer → results return, tagged by machine.

Several gateways that share one grid secret form a grid: they auto-discover each other on the LAN and hand work off for execution on remote runtimes (orchestrator-dispatch). Discovery is mDNS (_blumi._tcp) with optional static peers for networks where multicast is locked down. Every result comes back tagged with the machine that produced it (hostname + OS), and live runs stream into any TUI/blugo via /remote attach.

Three ways to distribute work across the grid:

From the phone — blugo's Grid tab (deterministic, model-independent): pick all peers or one, type a task, tap Delegate over grid → each machine runs it and reports back. It's a direct dispatch over the API, so it works on any model (no tool-calling required).
From chat — the grid_dispatch tool: the agent spreads sub-tasks across peers and collates the per-machine results into one reply (terminal, web, or phone).
Distributed task board — blumi loop (grid mode): round-robins the task board across live peers; the board shows which machine ran (and is running) each task.

Enable per node in settings.json — same secret = same grid:

"grid": {
  "enabled": true,
  "secret": "one-shared-secret-on-every-node",
  "peers": ["10.0.0.150:7777", "10.0.0.113:7777"]
}

peers is optional (mDNS finds peers automatically); list IP:port of the other nodes when multicast is unavailable. Restart each gateway after editing — launchctl kickstart -k gui/$(id -u)/com.blumi.serve (macOS) / systemctl --user restart blumi-serve (Linux). Full walkthrough: Grid (distributed).

From the phone: the Grid delegation tab with live per-machine results (left), a chat-driven grid_dispatch fan-out (center), and a per-machine leaderboard (right).

The same job executing live on two peers — macOS / Apple Silicon (left) and Linux / x86_64 (right).

Memory and code intelligence

Long-running, distributed agentic work needs memory that survives crashes, learns over time, and travels across machines — plus a way to actually understand a codebase. blumi ships all of it local-first: a bundled embedding model means no API key, and nothing leaves your machines.

Durable execution. Every tool step in a turn is checkpointed to SQLite, so a crash or a gateway restart resumes mid-turn instead of replaying it — the backbone for long autonomous runs.

Semantic long-term memory (RAG). A vector store over the bundled local model (bge-small, 384‑dim) recalls the memories relevant to each request and injects them as background context — cache-safe, so the cached system prompt stays byte-identical. It degrades to keyword (FTS5) search when embeddings are off. The agent reads/writes it with the memory tool (add / query).

SEDM — self-evolving, distributed memory (inspired by the SEDM paper):

write-admission — a near-duplicate write merges (and bumps utility) instead of piling up;
utility + consolidation/eviction — memories that get used rise; near-dupe clusters fold into the best member; the weakest are pruned past a per-namespace cap;
cross-peer diffusion — high-value, non-personal memories spread across the grid: what one machine learns, the others pick up (re-admitted through each peer's own dedup gate and origin-tagged, so they never loop). Your private user namespace never leaves the node.

Self-healing & evolution

Reliability as a bounded control problem (after the self-healing-orchestrators paper), wired into the failure taxonomy and the memory above:

Reflex recovery — a failed tool result is classified (bad args, state conflict, crash, empty) and gets a budgeted, targeted recovery action plus an observability trace (⚕ self-heal … inline in the TUI; /api/heal for the gateway). Only idempotent tools auto-retry; the rest escalate. It composes with the doom-loop guard rather than duplicating it.
Learns from failures — a recovery is stored as a failure→fix episode in the agent namespace, so it diffuses across the grid; a similar future failure recalls the known fix and injects it. Paths/secrets are redacted before anything is stored.
Evolves — recurring failure clusters are mined into auto-written recovery skills (low-risk, with a notice); anything risky (config / providers / secrets / deletes) raises an approval instead. Kill switch: heal.evolve = "off".
Confirmed — with heal.verify on, a recovery is marked verified only when the retried tool actually succeeds on a later step (ground truth, not just "a fix was suggested"), and the fix that worked has its utility reinforced.

See it in the TUI with /heal (or the inline ⚕ self-heal traces as they happen), the blugo Heal tab, or GET /api/heal.

Native code knowledge base. Index a repo into a local knowledge.db and search it by meaning or keyword (hybrid vector + FTS5), with gitignore-aware, diff-aware (re-)indexing:

blumi knowledge ingest ~/code/my-repo      # index incrementally (only changed files)
blumi knowledge search "where is auth handled"
blumi knowledge status                      # files · symbols · vectors

The agent gets code_search / code_retrieve to locate code before editing; from the phone, the blugo Code tab indexes a repo and searches it with file:line + snippet results.

Everything is on by default (first use downloads the ~130 MB model once, then runs fully offline); turn any of it off in settings.json:

"embeddings":   { "enabled": true, "backend": "local", "model": "bge-small-en-v1.5" },
"acceleration": { "mode": "auto" },
"memory":       { "enabled": true, "diffuse": true, "dedup_threshold": 0.92 },
"heal":         { "enabled": true, "recovery_budget": 2, "evolve": "auto" },
"router":       { "mode": "off", "light": { "model": "" }, "heavy": { "model": "" } },
"always_on":    { "enabled": false, "autonomy": "off", "cadence_secs": 900 },
"knowledge":    { "enabled": true, "max_file_kb": 256 }

Pin what matters; the agent edits the rest. Memory is now white-box: list, edit, pin, or delete individual entries (TUI Memory tab / POST /api/memory/*). Pinned entries are exempt from eviction + consolidation; editing one re-embeds it.

Full guide: Memory & Knowledge.

GPU acceleration

blumi uses your GPU for the bundled embedder when one is detected, and falls back to CPU otherwise. blumi accel doctor prints exactly what's detected and how to wire more:

Apple Silicon — CoreML/Metal is on by default (no flag — the execution provider is baked into the ONNX Runtime blumi already downloads, so ≈zero extra binary size).
NVIDIA / Linux — the recommended path is lean blumi + a local server: the default Linux install builds without the heavy ONNX dep (FTS5 locally), and you run Ollama for the real win — LLM inference on the GPU — plus GPU embeddings. The in-process CUDA embedder is best-effort opt-in (curl … | BLUMI_CUDA=1 sh): CUDA's ONNX Runtime is a shared lib, so the installer ships it next to the binary, verifies it loads, and auto-falls back to a lean build if it can't.
The model itself — blumi is BYOK, so the biggest GPU win is running the LLM on a local server (Ollama / vLLM / llama.cpp) and pointing a provider at it (the ollama, local-mlx, local-cuda presets ship in config). The bundled embedder only handles embeddings.
Grid-aware offload — every node reports its accelerator in /api/grid/metrics (strongest = CUDA > Apple CoreML > CPU; shown in the TUI /accel, /api/status, blugo). A CPU node can set embeddings.backend = "grid" to offload embedding to the strongest GPU peer (with a local/FTS5 fallback) — so a lean Linux box rides a Mac/CUDA peer for vectors.

The heavy embedder build is Apple-default + opt-in elsewhere, so a plain Linux/CI install stays lean (FTS5 fallback) and never does a multi-GB native link unless you ask for GPU.

Cost-aware routing & always-on

Two PilotDeck-inspired controls, both off by default — opt in per settings.json:

Smart routing — per turn a fast heuristic (and, on ambiguous turns, a local judge) picks a difficulty tier and routes to a light vs flagship model; delegated sub-agents default to the cheap tier. Set router.mode to heuristic/hybrid/judge and give router.light/heavy a provider+model. Watch the savings live: TUI /route (per-tier counts + $ saved vs all-heavy), GET /api/route. Model swaps are prompt-cache-safe; the judge fails safe to the cheap tier. On a grid, router.prefer_grid_light can run the light tier on a peer's local model.
Always-on discovery — with always_on.enabled + autonomy = "propose", the gateway periodically (gated) runs a read-only pass that surfaces candidate tasks onto the board (Discovered: …) and lands a report in ~/.blumi/reports/. See it with blumi serve status, GET /api/always-on, or the TUI /discoveries overlay. It never mutates anything (autonomous execution is a planned follow-up).

Workspace layout

crates/
  blumi-protocol   wire contract: Command / Event / Message / ToolResult (pure serde)
  blumi-core       the brain: traits + session actor (agent loop) + context mgmt + permissions + self-healing
  blumi-llm        provider clients (OpenAI-compatible, Anthropic, Gemini, …) + local embeddings (GPU: CoreML/CUDA)
  blumi-tools      built-in tools (incl. code_search/code_retrieve) + JSON-Schema + pipeline
  blumi-exec       execution backends (Local; Docker/SSH feature-gated)
  blumi-mcp        MCP client (rmcp) + tool adapters
  blumi-lsp        generic LSP client (feature-gated)
  blumi-persist    SQLite (sqlx): sessions, messages, checkpoints, semantic memory + FTS5
  blumi-knowledge  code knowledge base: symbol extraction + hybrid vector/FTS5 search
  blumi-skills     SKILL.md skills + dual memory (MEMORY/USER) + self-management tools
  blumi-cron       scheduler → headless sessions → delivery
  blumi-gateway    messaging gateways + voice (feature-gated)
  blumi-task       persistent task board (the queue for `blumi loop`)
  blumi-config     layered configuration (figment)
  blumi-tui        ratatui terminal UI
  blumi-web        axum server + embedded React build
  blumi            the binary (clap) — incl. `serve` gateway, `grid` discovery/dispatch, `accel` GPU doctor, self-heal evolution
blugo/             the Flutter phone app (outside the cargo workspace)

Develop

cargo build
cargo test --all-features
cargo clippy --all-targets --all-features -- -D warnings
cargo fmt --all --check

Releases are tracked in CHANGELOG.md (Keep a Changelog + SemVer). CI runs the Rust gate + the blugo Flutter gate on every push/PR (.github/workflows/ci.yml). The web UI lives in crates/blumi-web/frontend (React + Vite + TS); its built dist/ is committed and embedded via rust-embed, so a plain cargo build needs no JS toolchain. Contributing notes: Development.

Part 2 — blugo (phone app)

blugo is a Flutter app that mirrors the TUI on your phone, talking to a blumi serve gateway over your LAN (REST + SSE, token auth). Built for the Pixel 9 Pro Fold — single-pane in portrait, multi-pane when unfolded.

Welcome · interactive grid	Chat · streaming	Approvals · permission	Control center

The welcome screen is an interactive grid diagram: this device sits at the hub, your saved gateways orbit it, and auto-discovered ones appear as dashed nodes — tap any node to connect / edit / forget, tap a dashed one to sign in (password only; the rest is auto-filled), or ＋ to add by IP. The whole app rides one design system (Living-Rose tokens + a reusable widget kit) for a consistent, animated look across every screen.

Highlights: streaming chat with markdown + syntax-highlighted code, tool cards, approval / clarify / plan cards, the animated thinking mascot, a / command palette, sessions, a control center (model / persona / theme / YOLO / voice / tasks / grid / usage / skills / memory), a Grid tab that delegates a task across your LAN grid and shows each machine's result (works on any model), LAN auto-discovery of gateways, multiple saved instances, and voice (ElevenLabs / OpenAI TTS + Whisper STT).

Dispatch — Telegram-style chat with each node + push

Dispatch inbox	Thread + push	Broadcast · all nodes

Dispatch is a lightweight inbox: a row per saved gateway (each its own isolated quick-chat thread) plus a Broadcast channel that fans one message to every node and shows each one's reply. Fire-and-forget — send, background the app, and a push notification (FCM) brings the reply back, then a tap drops you into that thread. On by default on the LAN with zero config; drop a Firebase service account on the gateway (~/.blumi/fcm-service-account.json) to turn push on (it's a silent no-op without it). Reachable from the welcome diagram (a node's Dispatch action) and a Dispatch icon on every screen.

Connect it

On your machine: blumi serve pair then blumi serve install --host <LAN-ip>.
Open blugo → it auto-discovers gateways on your Wi-Fi (or add one by IP) → enter the password.
Chat. The same session is live in the TUI, the web UI, and the phone at once.

Build & run

cd blugo
flutter pub get
flutter run -d <device>          # debug to a connected device
flutter build apk --release      # signed release APK (see blugo/README.md)

Details, signing, and on-device tips: blugo/README.md and the Mobile App wiki page.

Status

Active development; usable end-to-end. The core spine (session actor + single event stream), the TUI, the embedded web UI, the full provider matrix (OpenAI-compatible, Anthropic, Azure Foundry, Gemini), sub-agents, MCP, SKILL.md skills + dual memory, FTS5 session search, cron, Docker/SSH executors, LSP, playbooks, messaging gateways + voice, the task board + autonomous blumi loop, the local-LLM approval brain, the blumi serve gateway, the blugo phone app, and the distributed grid (LAN peer discovery + chat / phone / loop task delegation, each result tagged by machine) are all in place.

Permissions are interactive by default; a toggleable YOLO mode skips prompts (ctrl+y / /yolo in the TUI, the web header toggle, or --yolo for headless runs). When a turn stops only because it hit the per-turn tool cap, the runtime auto-continues in the same session and narrates each step, bounded by a step budget and a token ceiling — so long tasks finish without nudging. See the Wiki for the full feature tour.

FAQ

Is blumi free?

Yes. blumi is free and open source under the Apache License 2.0, which is permissive and includes an explicit patent grant. You only pay your own model provider for usage when you bring your own key, and even that is optional — you can run a local model server (Ollama / vLLM / llama.cpp) at no per-token cost.

Is my code or data sent anywhere?

No — blumi is local-first and self-hosted, so your code, your keys, and your private user memory stay on your own machines. The bundled local embedding model powers memory and code search offline with no API key. The only data that leaves your hardware is whatever you send to the model provider you choose; if you point blumi at a local model server, nothing leaves at all.

Does blumi need an internet connection?

Not for its local features. Memory (RAG), the code knowledge base, and the LAN grid all run offline once the bundled embedding model has been downloaded once (~130 MB on first use). You only need a connection to reach a remote model provider; with a local model server, blumi runs fully offline.

What models and providers does blumi support?

blumi is BYOK (bring your own key) and provider-agnostic. It supports OpenAI-compatible APIs, Anthropic, Azure Foundry, and Gemini, plus local model servers via the ollama, local-mlx, and local-cuda presets that ship in config. Run blumi login to pick a provider, paste a key or endpoint, and choose a model.

What platforms does blumi run on?

The blumi CLI runs on macOS and Linux. The blugo phone app runs on Android (built for the Pixel 9 Pro Fold) and talks to a blumi serve gateway over your LAN. The core is written in Rust; blugo is built with Flutter.

What is the blumi grid?

The grid is blumi's distributed mode: point several blumi serve gateways at the same shared secret and they auto-discover each other on the LAN over mDNS (_blumi._tcp), then fan one task across all of them. Each machine runs its share and reports back tagged by hostname and OS — from the terminal, the web UI, or your phone. No model tool-calling is required for the deterministic phone delegation path.

How is blumi different from other AI coding tools?

Unlike most cloud-hosted AI coding assistants, blumi is local-first, self-hosted, and provider-agnostic — you run it on hardware you own and bring any model you like, with no vendor lock-in. It is also the only one that turns every machine you own into a single distributed AI grid, and it ships private compounding memory (SEDM — self-evolving, distributed memory) plus self-healing tool recovery that learn and diffuse across that grid. An opt-in RPL (Raskolnikov's Psychological Loop) adds adversarial, regret-minimizing review before high-blast-radius tool batches run.

What is blugo?

blugo is blumi's Flutter phone app — a 1:1 mirror of the terminal UI, optimized for foldables. It connects to a blumi serve gateway over your LAN (REST + SSE with token auth) so the same session is live on your phone, in the TUI, and in the web UI at once, including streaming chat, approvals, voice, and the grid.

License

⭐ Star us

blumi is built so the machines you already own — an old laptop, a spare desktop, even your phone — add up to one private AI grid. If that's useful to you, star the repo: it's the simplest way to support the project and help others discover it. Got a question or an idea? Open an issue or discussion — contributions welcome.

Star history

_{If you made it this far — ⭐ star blumi 🌸}

Name		Name	Last commit message	Last commit date
Latest commit History 382 Commits
.github/workflows		.github/workflows
assets		assets
blugo		blugo
crates		crates
docs		docs
scripts		scripts
.gitignore		.gitignore
CHANGELOG.md		CHANGELOG.md
Cargo.lock		Cargo.lock
Cargo.toml		Cargo.toml
LICENSE		LICENSE
NOTICE		NOTICE
README.md		README.md
install.sh		install.sh
rustfmt.toml		rustfmt.toml

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blumi

What is blumi?

At a glance / Key facts

How is blumi different?

🌐 One grid, every machine you own

🧠 Private memory that compounds — and code it understands

⚕ Heals its own failures — and uses your GPU

Part 1 — blumi CLI

How do I install blumi?

Quick start

Surfaces

Architecture

Always-on gateway

Grid (distributed)

Memory and code intelligence

Self-healing & evolution

GPU acceleration

Cost-aware routing & always-on

Workspace layout

Develop

Part 2 — blugo (phone app)

Dispatch — Telegram-style chat with each node + push

Connect it

Build & run

Status

FAQ

Is blumi free?

Is my code or data sent anywhere?

Does blumi need an internet connection?

What models and providers does blumi support?

What platforms does blumi run on?

What is the blumi grid?

How is blumi different from other AI coding tools?

What is blugo?

License

⭐ Star us

Star history

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