Agent Brain
The live map of every mission, tool call and approval, composed from real execution records.
Personal AI assistant
A private, approval-aware personal AI workspace for objectives, memory, devices, and execution.
Missions, tools and approvals, rendered the way the product renders them.
What it is
Plue runs on one box and answers to one owner. You give it durable intent — fix this, watch that, build this — and it plans bounded missions, picks the right subsystem for each step, and waits where approval matters.
There is no hidden second brain and no shadow engine. One planner, one memory authority, one approval path. Models are routed by policy rather than fashion, every step lands on the execution graph, and the receipts are yours to read.
What it can do
The live map of every mission, tool call and approval, composed from real execution records.
Durable intent that survives restarts, waits and failures, advanced a bounded step at a time.
One planner decides which subsystem handles the next step. No second engine, no drift.
MANUAL, ASSISTED or AUTONOMOUS. Hard denials fail closed in every mode.
A disposable desktop it can see and drive: screenshots, clicks, windows, on an isolated sandbox.
Structured navigation and QA through a private browser worker; outward changes ask first.
Streaming speech in and out, barge-in, spoken approvals, and a bounded offline mode.
Thin, authenticated fronts for one identity and one memory: phone, watch, laptop, desktop, CarPlay.
Typed, provenance-tagged facts with hybrid retrieval and a real forget.
One bounded brief other agent surfaces can read and write, without merging runtimes.
A full self-hosted coding agent: repositories, terminals, previews, desktop installers.
A requested site becomes research, design, code, browser QA, and a deploy from an exact SHA.
Forwarded slips read by vision into a fixed schema, with a running stake, result and P&L ledger.
It notices events, weighs relevance, respects quiet hours, and acts only through existing policies.
Scheduled and event-driven workflows, each run in its own disposable container, with run history.
The stack behind it
Every request is routed to the right class of model and the decision is written down — provider, model, reason, fallback. No hard-coded model, no second router.
deepseek-flash→deepseek-v4-pro
DeepSeek-first by policy for planning and tool selection, escalating when the task earns it.
gpt-4o-mini·gpt-4o
OpenAI stands behind the router whenever the preferred model is absent, incapable, or unaffordable.
gpt-4o
Reads forwarded bet slips and result posts into a fixed, validated schema.
gpt-4o-mini-transcribe→gpt-4o-mini-tts
Streaming speech-to-text and text-to-speech, OpenAI-bound like embeddings — the reasoning preference never moves them.
text-embedding-3-small
256 dimensions, exact cosine over a bounded candidate scan, provenance attached to every hit.
daily·monthly·per-request
Hard caps that pause work when they are reached — and that the model cannot raise.
Trust
Trust is granted server-side and scoped per assignment — not from a chat message, and not from a checkbox in a client.
Observation only. Every mutating capability is denied and audited.
Routine work runs; state-changing capabilities pause for a recorded decision.
Routine gates lift for allow-listed scope. Explicit denials never do.
MANUALASSISTEDAUTONOMOUS
Autonomy changes who satisfies an approval gate. It never changes what is allowed, who owns what, or what a capability can do.
Always denied, in every mode
production_targetarbitrary_shellarbitrary_dockerhost_filesystemcredential_accesstrust_escalationdestructive_operationunrestricted_browserClient state never grants authority.
By the numbers