Polytoken presents a local-first coding-agent system where a daemon owns durable
work state and the TUI exposes prompt input, session navigation, permissions,
facets, todos, jobs, and project instructions.
- Polytoken is a local-first AI coding-agent daemon. It manages model
conversations, runs tools, and exposes a CLI/TUI interface.
- Project context comes from
AGENTS.md. Polytoken reads the file from global
and project scopes, falls back to CLAUDE.md and GEMINI.md, and supports
@path/to/file.md references.
AGENTS.md can stay plain Markdown. If the file has polytoken: true
frontmatter, Polytoken renders the body as a template before sending it to the
model.
- The prompt is a multiline text area with mouse placement, selection/copy,
local cut/paste behavior, queued prompts while work is running,
@
references, / commands, and a shared typeahead bar.
- Facets change prompt framing and available tools without changing the model.
The shipped facets include
execute and plan.
- Plan mode uses the plan facet. It withholds edit and shell tools while the
model investigates and writes a handoff plan, then asks the user how to
continue.
- A session is the durable event record on disk. Context is the bounded subset
of that record sent to the model for a turn.
/compact writes a summary event and lets later turns use the summary instead
of the full transcript. /clear resets model context while keeping session
events on disk.
/rewind moves to an earlier prompt boundary and drops later events.
Polytoken avoids rewinding into the middle of a tool call.
- The daemon/TUI split lets users detach and reattach. Closing the TUI does not
necessarily stop the daemon.
- Larger work is represented in the UI with sidebar state, flagged files,
todos, and jobs. Jobs can be working, completed, failed, or cancelled.
- Permissions are checked at tool-call time. Polytoken has approval prompts,
permission modes, file path approvals, shell-command parsing, and secret
guards.
| Claim |
Support |
Confidence |
| Polytoken separates durable work from the interface. |
The introduction calls Polytoken a local-first daemon; the sessions page describes daemon/TUI detaching and reattaching. |
High |
Project instructions are based on the cross-agent AGENTS.md convention. |
The project-context page describes global, project, parent, and fallback instruction files. |
High |
| Facets alter prompt framing and tool access. |
The prompting and facets pages describe plan/execute facets and custom facet files. |
High |
| Sessions and model context are separate concepts. |
The sessions page defines session events on disk and bounded context for the model. |
High |
| Polytoken treats prompt input as a full application surface. |
The prompting page covers multiline input, mouse placement, queues, references, commands, typeahead, and conversation card navigation. |
High |
| Permission checks combine static rules and interactive approval. |
The permissions page covers approval prompts, modes, path approvals, shell parsing, and secret protections. |
High |
| Term |
Meaning |
| Daemon |
The process that owns the active session and work. |
| TUI |
The terminal interface used to read, type, approve, navigate, and detach. |
AGENTS.md |
Project instruction file loaded into model context. |
| Facet |
Markdown-defined persona that controls prompt framing, tool access, and display color. |
| Plan facet |
Read-only planning facet that writes a handoff plan. |
| Execute facet |
Working facet with implementation tools enabled. |
| Session |
Durable ordered event record stored on disk. |
| Context |
Events selected from the session and sent to the model. |
| Compaction |
Summary event that reduces the context needed for later turns. |
| Clear |
Context reset recorded in the session. |
| Rewind |
Destructive move to an earlier prompt boundary. |
| Todo |
Model-visible task item with status and dependencies. |
| Job |
Background work tracked outside the foreground prompt/reply loop. |
- How does Polytoken distinguish session history from model context?
- What changes when a user switches facets?
- What does plan mode withhold from the model, and why?
- How does Polytoken handle prompts submitted while work is already running?
- What information can
AGENTS.md contribute to each turn?
- How do file path approvals and shell-command checks differ?
- Why does detach/reattach require a daemon-owned session?
- Related ideas: durable event logs, bounded model context, project instruction
files, prompt queues, plan/execute modes, approval policies, background jobs.
- Related sources: local notes on sessions, prompts, skills, UI patterns, and
prompt-renderer ownership.
- Tensions: daemon ownership improves continuity but adds process management;
facets make modes explicit but can multiply configuration; rewinding is useful
because it is destructive and bounded.
- How are session events serialized on disk?
- How are queued prompts ordered relative to tool approvals and background jobs?
- Which permission decisions become durable session events?
- How much of the sidebar state is source-of-truth data versus derived display?
- How does Polytoken test terminal behavior across narrow widths and detach
boundaries?
- Polytoken documents sessions as durable event records and context as a bounded
model input.
- Facets are a concrete mechanism for separating planning from execution.
- The TUI exposes more than chat: prompt editing, typeahead, cards, todos,
jobs, permissions, and detach/reattach all appear as first-class workflows.