Sessions

How Docker Agent stores conversations, resumes them across runs, and tracks their token cost.

What a Session Is

Every docker agent run creates or resumes a session: the record of a conversation, including every message, tool call, sub-agent run, and cost. Sessions are what makes /undo, /sessions, --session <id>, and cost tracking possible — the agent itself is stateless between runs, but the session is not.

A session is only persisted to disk once it has content (the first message added), so a run you cancel before sending anything never leaves an empty session behind.

Where Sessions Are Stored

Sessions live in a SQLite database, session.db, under the data directory (~/.cagent by default):

$ ls ~/.cagent/session.db

Override the location with -s/--session-db, or by overriding the data directory itself with --data-dir:

# Use a project-local session database instead of the global one
$ docker agent run agent.yaml --session-db ./sessions.db

Resuming a Session

Pass --session <id> to continue a previous conversation instead of starting a new one:

# Resume by explicit session ID
$ docker agent run agent.yaml --session 3f9c1e2a-...

# Resume the most recently created session
$ docker agent run agent.yaml --session -1

# Resume the session created before that one
$ docker agent run agent.yaml --session -2

--session accepts two kinds of reference:

• A relative offset (-1, -2, …): sessions are ordered by creation time, newest first — -1 is the most recently created session, -2 the one created before it, and so on. This is creation order, not last-used order: resuming an older session with --session <id> does not make it the new -1; the next -1 still resolves to whichever session was created most recently. A relative offset that has no matching session (for example -1 with an empty database) is an error.
• An explicit ID: if a session with that ID already exists, it is resumed. If it doesn't exist yet, docker agent creates it with that ID instead of failing. This lets a supervisor (for example a board or a script) choose a session ID up front and reuse it across runs — the first run creates the session, later runs resume it.

Read-Only Sessions

Add --session-read-only to open a session for viewing without sending new messages — useful for reviewing a past conversation without accidentally continuing it:

$ docker agent run agent.yaml --session -1 --session-read-only

--session-read-only requires the TUI: it cannot be combined with --exec, since there would be nothing to display without one.

Browsing Sessions in the TUI

Press /sessions to open the session browser: search and filter past conversations, see which ones were started in the current working directory ("This workspace") versus elsewhere ("Other locations"), and restore one with Enter. Restoring a session reopens it in its original working directory. See Session Management in the Terminal UI docs for the full set of session-browser and session-title features (starring, branching by editing a past message, and so on).

Tabs

Ctrl+T opens a new tab running an additional agent session alongside the current one; Ctrl+N/Ctrl+P cycle between tabs and Ctrl+W closes the current one. By default, tabs are not restored the next time you launch the TUI. Set restore_tabs: true in your user config to reopen the same tabs (and their sessions) on the next launch:

# ~/.config/cagent/config.yaml
settings:
  restore_tabs: true

Session Titles

Docker Agent auto-generates a short title for each session from your first message, using a one-shot call to the agent's own model. Point that call at a smaller, cheaper model instead with title_model on a model definition:

# examples/title_model.yaml
models:
  primary:
    provider: anthropic
    model: claude-sonnet-4-5
    # Generate session titles with the cheaper Haiku model instead of Sonnet.
    title_model: fast
  fast:
    provider: anthropic
    model: claude-haiku-4-5

agents:
  root:
    model: primary
    description: An assistant that generates session titles with a cheaper model.
    instruction: You are a helpful assistant.

When title_model is omitted, title generation reuses the agent's own model. Set or regenerate a title from inside the TUI with /title (see Session Title Editing) — regenerating sends every user message in the session so far, not just the first — or generate one from the command line without starting a session at all:

$ docker agent debug title agent.yaml "How do I configure a fallback model?"

See docker agent debug title for details.

Usage & Cost Tracking

Every tracked model call — the main conversation turns and compaction calls — updates the session's cumulative input/output token counts and cost. Check them at any time with /cost in the TUI, or disable tracking per-model with track_usage: false if you don't want a model's calls counted (for example, a free local model). Auxiliary one-shot calls the runtime makes on your behalf, such as automatic session-title generation, call the model directly and are not folded into this total.

Cost is computed from the models.dev pricing catalogue by default. For a custom endpoint, a private deployment, or a negotiated enterprise rate the catalogue doesn't know about, declare pricing explicitly with a model's cost: block:

# examples/custom-pricing.yaml
models:
  internal-gpt:
    provider: internal-llm
    model: gpt-4o
    cost:
      input: 1.25 # USD per 1M input tokens
      output: 5.00 # USD per 1M output tokens
      cache_read: 0.125 # USD per 1M cached input tokens
      cache_write: 1.5625 # USD per 1M cache-write tokens

An all-zero cost: table means "priced, free" — distinct from a model with no cost: at all, which falls back to the catalogue (and bills $0 for models the catalogue doesn't know).

Resuming Into a Worktree

A session created during a --worktree run remembers which worktree it used. Resuming it with --session reattaches to the same worktree directory and branch automatically — you don't need to pass --worktree again. See --worktree in the CLI reference for the full worktree lifecycle.