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codex-agent

codex-agent-framework is a local-first Python framework for building and running a persistent, tool-using AI agent.

It is an open-source, hackable Codex-style harness for Linux developers and power users who want local control over sessions, tools, plugins, runtime state, and UI surfaces instead of a sealed assistant runtime. Use it as a ready-to-run assistant with TUI, tray, and dock, or import Agent when you want to build your own agentic workflow in Python.

Early alpha: APIs are still evolving and breaking changes are expected while the architecture settles.

New here? Start with Your first day with codex-agent. For prerequisites, installation choices, and common repairs, read Installation and troubleshooting. For the project's broader intent in plain language, read What is codex-agent?.

Why codex-agent?

codex-agent is meant to be a transparent, hackable local harness for power users and developers:

  • Local-first runtime: sessions, memory, config, plugins, logs, and work files live under your local runtime directory.
  • Multiple entry points: TUI, headless CLI, Python SDK, and local FastAPI server.
  • Plugin-first design: tools, providers, slash commands, hooks, events, prompt sections, and stream processors are extension points.
  • Observable agent loop: turns return structured results and emit events that UIs and integrations can stream.
  • Built-in practical tools: files, shell, Python, context, memory, planner, scheduler, browser/desktop automation, and subagents.

Quick start

Install the package:

python -m pip install codex-agent-framework

For the recommended local setup, run:

codex-agent bootstrap -- -y

bootstrap installs the normal user service setup and can install desktop/browser/tray dependencies plus the dock. It is currently aimed mostly at Debian-like Linux systems. Use an X11 session for the best desktop automation support; Wayland is fine if you do not use the desktop plugin. See Installation and troubleshooting for prerequisites, variants, and repair steps.

Open the assistant:

codex-agent

If a local agent server is already running, the TUI connects to it. Otherwise codex-agent starts a temporary server for that TUI session and shuts it down when the TUI exits. New sessions are anchored to the directory where you launch codex-agent; see CLI and runtime.

Inside the TUI, start with:

/help
/sessions
/new_session
/load_session latest
/compact
/config

Use /compact when a long session needs to reduce its active context. It keeps a backend summary and prunes older raw history from the active session file.

Python in 30 seconds

from codex_agent import Agent

agent = Agent(session="new")
turn = agent("Summarize this repository in three practical bullet points.")

print(turn.result)

Stream live events when building your own UI or integration:

from codex_agent import Agent, ResponseContentDeltaEvent

agent = Agent(session="new")
stream = agent.stream("Explain what this project does.")

for event in stream:
    if isinstance(event, ResponseContentDeltaEvent):
        print(event.delta, end="", flush=True)

turn = stream.turn
print("\ncompleted:", turn.completed)

The built-in TUI uses the same streamed event model and is designed to stay responsive during heavier tool activity by decoupling event intake from UI rendering.

Add a small tool:

import subprocess
from codex_agent import Agent, tool

@tool
def list_changed_files() -> list[str]:
    """Return modified or untracked files in the current git repository."""
    output = subprocess.check_output(["git", "status", "--short"], text=True)
    return [line[3:] for line in output.splitlines() if line.strip()]

agent = Agent(session="latest")
agent.add_tool(list_changed_files)
agent("What changed locally?")

Main ways to use it

Mode Entry point Best for
Interactive TUI codex-agent Daily local assistant usage.
Python SDK Agent(...) Scripts, notebooks, tests, custom applications.
Headless CLI codex-agent run ... Automation and shell pipelines.
Persistent local service codex-agent bootstrap -- -y User service used by UIs, tray, and scripts.
Runtime plugins ~/.codex-agent/plugins/*.py Local customization without forking the project.

Useful CLI commands:

codex-agent status --json
codex-agent tools
codex-agent plugins list
codex-agent sessions list
codex-agent config get
codex-agent run "Run a quick repository health check."
git diff -- README.md | codex-agent run --stdin "Review this documentation diff."

Built-in capability map

Area Examples Purpose
Files/content read, view, write, edit Strict text reads, broad extraction, exact-string edits.
Shell/Python bash, python Local command execution and persistent Python work.
Context/status context_status, context_compact Inspect and manage the active context window.
Memory/planner memory_add, planner_create Durable semantic memory and persistent named todos.
Scheduler scheduler_schedule Future turns and post-restart continuation.
Browser/desktop browser and desktop tools Persistent Chromium and Linux desktop automation.
Subagents subagents_run Focused child agents such as the read-only explorer profile.

Select built-ins explicitly when you want a smaller agent:

agent = Agent(
    session="latest",
    builtin_plugins=["files", "content", "bash", "python", "environment", "context"],
)

A bare Python Agent() uses builtin_plugins=None, which loads every available built-in. Pass [] to load none, or an explicit list to keep an embedded agent deliberately small. The persistent local service restores its saved plugin selection instead; manage that selection from the dock or plugin controls.

Project health

The repository includes a GitHub Actions CI workflow that runs an explicit offline/headless test subset on Python 3.11 and 3.12, then builds the package and validates distributions with twine check. You can run the same subset locally with scripts/run-ci-tests.sh; use python -m pytest for broader local sweeps that may include machine- or backend-dependent tests. Dependabot is configured for weekly GitHub Actions and pip dependency updates.

Documentation

The README is intentionally a façade and quick-start guide. Advanced usage lives in docs/:

See CHANGELOG.md for release history.

Safety notes

This project lets an AI assistant act on the local machine. That is useful, but risky.

Recommended practices:

  • Avoid running the agent with elevated privileges.
  • Review tools and runtime plugins before enabling autonomous workflows.
  • Keep secrets out of prompts, logs, committed runtime files, and shared session exports.
  • Treat browser, desktop, shell, file-write, and edit operations as real user actions.
  • Keep important runtime plugins under version control.

License

MIT. See LICENSE.

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