Docketeer

The core agent engine for building autonomous AI assistants with Docket.

Docketeer is a small, opinionated toolkit for running an AI agent that can manage its own memory, schedule its own future work, and extend itself through plugins. The inference backend is pluggable — bring your own LLM provider. The core package provides the agent loop, a persistent workspace for the agent's files, and a plugin system based on standard Python entry points.

Tools

Workspace

• list_files — list files and directories in the workspace
• read_file — read contents of a text file
• write_file — write content to a text file
• edit_file — search-and-replace editing within a file
• delete_file — delete a file
• create_link — create a symbolic link in the workspace
• read_link — read the target of a symbolic link
• search_files — semantic search across workspace files (falls back to keyword grep without docketeer-search)

Scheduling

• schedule — schedule a future nudge to prompt the agent at a given time
• schedule_every — schedule a recurring nudge on an interval
• cancel_task — cancel a scheduled task
• list_scheduled — list all scheduled and running tasks

Chat

• list_rooms — list available chat rooms
• room_messages — read recent messages from a room
• send_message — send a message to a room
• react — react to a message with an emoji
• wrap_up_silently — end a turn without replying

Vault

• list_secrets — list stored secret names
• store_secret — store a secret by name
• generate_secret — generate and store a random secret
• delete_secret — delete a stored secret
• capture_secret — capture a secret from command output

Executor

• run — run a command in the sandbox
• shell — run a shell command in the sandbox

Configuration

Plugins

Docketeer discovers plugins through these entry point groups:

• docketeer.inference — inference backends (which LLM provider powers the agent)
• docketeer.chat — chat backends (how the agent talks to people)
• docketeer.executor — command executors (sandboxed process execution)
• docketeer.vault — secret vaults (store and resolve secrets)
• docketeer.search — search catalogs (semantic search over workspace and tools)
• docketeer.tools — tool plugins (what the agent can do)
• docketeer.prompt — system prompt providers (contribute blocks to the system prompt)
• docketeer.tasks — background task plugins (periodic or scheduled work)

Available plugins:

• docketeer-1password — 1Password secret vault
• docketeer-agentskills — Agent Skills support
• docketeer-anthropic — Anthropic inference backend
• docketeer-autonomy — autonomous inner life (reverie, consolidation, journaling, profiles)
• docketeer-bubblewrap — sandboxed command execution via bubblewrap
• docketeer-deepinfra — DeepInfra inference backend
• docketeer-git — automatic git-backed workspace backups
• docketeer-mcp — MCP server support
• docketeer-monty — sandboxed Python execution
• docketeer-rocketchat — Rocket.Chat backend
• docketeer-search — semantic workspace search via fastembed
• docketeer-subprocess — unsandboxed command execution for containers and non-Linux hosts
• docketeer-tui — terminal chat backend
• docketeer-web — web search, HTTP requests, file downloads