Move project documentation into docs

Add ARCHITECTURE.md with a Mermaid component interaction diagram and short descriptions of the main runtime flows.

Move CHANGELOG.md and ROADMAP.md under docs/ so project documentation lives in one place, and update README links plus the project layout description.
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mixeme
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# PySentry Architecture
This document shows the current component interaction model. PySentry is still a
single desktop process: the GUI, scheduler, storage, and command runner live in
one application and communicate through Go function calls and shared in-memory
job state.
## Component Diagram
```mermaid
flowchart LR
user["Desktop user"]
gui["src/gui\nFyne windows, tabs, dialogs"]
store["src/core Store\nYAML config and jobs"]
scheduler["src/core Scheduler\n@every and cron timing"]
runner["src/core Runner\nshell command execution"]
autostart["src/core Autostart\nWindows Run / Linux desktop startup"]
config["pysentry.yaml\napplication settings"]
jobs["jobs.yaml\njob definitions"]
logs["logs_dir\nper-run command output logs"]
shell["Platform shell\ncmd.exe /C or sh -c"]
user -->|"edits jobs, settings, runs commands"| gui
gui -->|"OpenStore, SaveConfig, SaveJobs"| store
store -->|"read/write"| config
store -->|"read/write"| jobs
gui -->|"Start, Pause, RunNow, RefreshSchedule"| scheduler
scheduler -->|"SaveJobs after state changes"| store
scheduler -->|"RunJob(trigger)"| runner
runner -->|"execute command"| shell
runner -->|"write stdout/stderr log"| logs
runner -->|"RunRecord with status, duration, log path"| scheduler
scheduler -->|"onChange RunRecord"| gui
gui -->|"display History, command output, job state"| user
gui -->|"SetAutostart, AutostartStatus"| autostart
autostart -->|"use executable path from resolved Paths"| config
```
## Main Flows
1. Startup:
The executable starts `cmd/pysentry`, which calls the GUI package. The GUI
opens the store, loads `pysentry.yaml` and `jobs.yaml`, creates the main tabs,
then starts the scheduler with the loaded job slice.
2. Editing settings or jobs:
The GUI updates the in-memory job/config state and asks `Store` to write YAML
back to disk. Job definitions stay in one `jobs.yaml`; runtime command output
is not stored there.
3. Scheduled run:
`Scheduler` checks due jobs on a one-second ticker. When a job is due, it marks
the job as running, saves state, and starts `Runner` asynchronously.
4. Manual run:
`Run now` calls the same scheduler path as scheduled execution, but the
resulting history record uses the `Manual` trigger.
5. Command execution:
`Runner` executes the command through the platform shell, captures stdout and
stderr, writes one timestamped `.log` file, and returns a `RunRecord`.
6. History update:
The scheduler receives the `RunRecord`, updates the matching job, saves YAML,
runs log cleanup, and calls the GUI callback so the `History` tab refreshes.
7. Autostart:
The Settings tab calls the platform autostart implementation. Windows uses the
current user's Run registry key. Linux uses a desktop-session startup entry.