Commands, package names, and image names on this page come from the open-source project that Mibyan Desktop is built on, and can differ from the Mibyan Desktop installer. For the supported Mibyan install and update path, see Install and update.
openai/*, openai-codex/* and named custom provider turns to the Codex CLI app-server instead of running its own tool loop. When enabled, terminal commands, file edits, sandboxing, and MCP tool calls all execute inside Codex’s runtime — Mibyan becomes the shell around it (sessions DB, slash commands, gateway, memory and skill review).
This is opt-in only. Default Mibyan behavior is unchanged unless you flip the flag. Mibyan never auto-routes you onto this runtime.
Why
- Run OpenAI agent turns against your ChatGPT subscription (no API key required) using the same auth flow Codex CLI uses.
- Use Codex’s own toolset and sandbox —
shellfor terminal/read/write/search,apply_patchfor structured edits,update_planfor planning, all running inside seatbelt/landlock sandboxing. - Native Codex plugins — Linear, GitHub, Gmail, Calendar, Canva, etc. — installed via
codex pluginare auto-migrated and active in your Mibyan session. - Mibyan’ richer tools come along — web_search, web_extract, browser automation, vision, image generation, skills, and TTS work via an MCP callback. Codex calls back into Mibyan for tools it doesn’t have built in.
- Memory and skill nudges keep working — Codex’s events are projected into Mibyan’ message shape so the self-improvement loop sees a normal-looking transcript.
- Your Mibyan persona rides along — the composed system prompt (SOUL.md, MEMORY.md/USER.md, per-channel
system_promptoverrides) is sent to the codex thread once as developer instructions when the thread starts, and Codex’s built-in personality is disabled so it cannot compete with yours.
What tools the model actually has
This is the part most users want to know up front. When this runtime is on, the model running your turn has three independent sources of tools:1. Codex’s built-in toolset (always on)
These ship withcodex app-server itself — no Mibyan involvement, no MCP, no plugins. All five are available the moment the runtime starts:
shell— runs arbitrary shell commands inside the sandbox. This is how the model reads files (cat,head,tail), writes them (echo > foo, heredocs), searches them (find,rg,grep), navigates directories (ls,cd), runs builds, manages processes, and anything else you’d do in bash.apply_patch— applies a structured multi-file diff in Codex’s patch format. The model uses this for non-trivial code edits (adding a function, refactoring across files); shell heredocs are still available for one-off writes.update_plan— codex’s internal todo / plan tracker. Equivalent of Mibyan’todotool, but managed entirely inside codex’s runtime.view_image— load a local image file into the conversation so the model can see it.web_search— codex has its own built-in web search when configured. Mibyan also exposesweb_search(Firecrawl-backed) via the callback below; the model picks whichever it prefers.
:workspace by default when you enable the runtime) controls what’s writable.
2. Native Codex plugins (auto-migrated from your codex plugin install)
When you enable the runtime, Mibyan queries codex’s plugin/list RPC and writes a [plugins."<name>@openai-curated"] entry for every plugin you have installed. The plugins themselves are managed by codex and authorized once via codex’s own UI.
Examples (the ones the OpenClaw thread highlighted as “YouTube-video-worthy”):
- Linear — find/update issues
- GitHub — search code, view PRs, comment
- Gmail — read/send mail
- Google Calendar — create/find events
- Outlook calendar/email — same shape via the Microsoft connector
- Canva — design generation
- …whatever else you’ve installed via
codex plugin marketplace add openai-curated+codex plugin install ...
- Plugins you haven’t installed yet — install them in Codex first.
- ChatGPT app marketplace entries (
app/list) — these are already enabled inside codex by virtue of your account auth.
3. Mibyan tool callback (MCP server, registered in ~/.codex/config.toml)
Mibyan registers itself as an MCP server so codex can call back for tools codex doesn’t ship with. Available via the callback:
web_search/web_extract— Firecrawl-backed; tends to be cleaner than scraping for structured content.browser_navigate/browser_click/browser_type/browser_press/browser_snapshot/browser_scroll/browser_back/browser_get_images/browser_console/browser_vision— full browser automation via Camofox or Browserbase.vision_analyze— call a separate vision model to inspect an image (different from codex’sview_imagewhich loads it into the conversation).image_generate— image generation through Mibyan’ image_gen plugin chain.skill_view/skills_list— read from Mibyan’ skill library.text_to_speech— TTS through Mibyan’ configured provider.
mibyan_tools_mcp_server subprocess via stdio MCP, the call is dispatched through model_tools.handle_function_call() (same code path as Mibyan’ default runtime), and the result is returned to codex like any other MCP response.
What’s NOT available on this runtime
These four Mibyan tools require the running AIAgent context (mid-loop state) to dispatch, and a stateless MCP callback can’t drive them. Switch back to the default runtime (/codex-runtime auto) when you need any of them:
delegate_task— spawn subagentsmemory— Mibyan’ persistent memory storesession_search— cross-session searchtodo— Mibyan’ todo store (codex’supdate_planis the in-runtime equivalent)
Workflow features (/goal, kanban, cron)
/goal (the Ralph loop)
Works on this runtime. Goals persist in state_meta keyed by session id, the continuation prompt feeds back as a normal user message through run_conversation(), and codex executes the next turn natively. The goal judge runs via the auxiliary client (configured via auxiliary.goal_judge in config.yaml), independent of which runtime is active. The judge’s “blocked, needs user input” verdict is a clean escape if codex stalls on approvals.
One thing to be aware of: each continuation prompt is a fresh codex turn, which means codex re-evaluates command approval policy from scratch. If you’re doing a long-running goal with lots of writes, expect more approval prompts than you’d see on a single in-session task. Set default_permissions = ":workspace" (which Mibyan does automatically when you enable the runtime) so simple workspace writes don’t require prompting.
Kanban (multi-agent worktree dispatch)
Works on this runtime, with one subtle dependency. The kanban dispatcher spawns each worker as a separatemibyan chat -q subprocess that reads the user’s config — which means if model.openai_runtime: codex_app_server is set globally, workers also come up on the codex runtime.
What works inside a codex-runtime worker:
- Codex’s full toolset (shell, apply_patch, update_plan, view_image, web_search) — the worker does its actual task work natively
- The migrated codex plugins — Linear, GitHub, etc.
- The Mibyan tool callback for browser_*, vision, image_gen, skills, TTS
kanban_complete/kanban_request_review/kanban_request_changes/kanban_block/kanban_comment/kanban_heartbeat— the worker handoff tools. These readmibyan_KANBAN_TASKfrom env (set by the dispatcher), gate access correctly, and write to the per-board SQLite DB pinned bymibyan_KANBAN_DB. Without these in the callback, a worker on this runtime could do its task but couldn’t report back, hanging until the dispatcher’s timeout.kanban_show/kanban_list— read-only board queries for the worker to check its own context.kanban_create/kanban_unblock/kanban_link— orchestrator-only operations. Available for orchestrator agents running on the codex runtime that need to dispatch new tasks.
mibyan_KANBAN_TASK env var the dispatcher sets — that var is propagated to the codex subprocess (codex inherits env) and from there to the spawned mibyan-tools MCP server subprocess. So the tools see the right task id and gate correctly. For Codex app-server workers, Mibyan also passes narrow app-server sandbox overrides when mibyan_KANBAN_TASK is present: keep workspace-write sandboxing, add the board DB directory plus every Kanban path the dispatcher pinned as extra writable roots (mibyan_KANBAN_WORKSPACES_ROOT, mibyan_KANBAN_WORKSPACE, legacy mibyan_KANBAN_ROOT — deduplicated, DB-dir first), and keep network disabled by default. This avoids the brittle :danger-no-sandbox workaround while letting kanban_complete / kanban_block update the board DB and letting workers write reports/artifacts under workspace mounts that live outside the DB directory (e.g. /media/.../kanban-workspaces/... on a separate drive — issue #27941).
Cron jobs
Not specifically tested. Cron jobs run viacronjob → AIAgent.run_conversation, the same code path as the CLI. If the cron job’s config has openai_runtime: codex_app_server it’ll run on codex. The same tool-availability rules apply — codex built-ins + plugins + MCP callback work, agent-loop tools (delegate_task, memory, session_search, todo) don’t. If your cron job relies on those, scope the cron to a profile that uses the default runtime.
Trade-offs
Live display
Even though the agent loop runs inside the Codex subprocess, the runtime bridges Codex’s event stream into the same display path the default runtime uses:- Live assistant deltas, reasoning (including summary deltas), and stable-ID tool start/completion events surface in the TUI, desktop, and messaging gateways as the turn runs. The completion-only history projector remains separate, so a resumed session hydrates the same tool cards shown during the turn.
- Gateway commentary stays visible when token streaming is disabled, and
live tool events are forwarded even for notifications drained ahead of an
approval request. Commentary honors
display.show_commentary.
Prerequisites
-
Codex CLI installed:
-
Codex OAuth login. The codex subprocess reads
~/.codex/auth.json. Two ways to populate it:Mibyan’ ownmibyan auth add openai-codexwrites to~/.mibyan/auth.json— that’s a separate session. Runcodex loginseparately if you haven’t. Or: a named custom provider. Aproviders.<name>entry in Mibyan config can use this runtime when the same name is defined as a Codex provider. Mibyan config:and the matching table in~/.codex/config.toml:Mibyan sends onlymodelandmodelProvider = "my-gateway"onthread/start; codex resolvesbase_urland reads the key fromenv_keyin its own environment. Mibyan never forwards the API key, soMY_GATEWAY_API_KEYmust be present in the process environment Mibyan runs in —~/.mibyan/.envis loaded at startup and provider credentials are inherited by the codex subprocess. Auxiliary calls (titles, compression, memory review) still use Mibyan’ ownproviders.my-gatewayentry. Caveats: the name aftercustom:is theproviders:config key and must match the[model_providers.<name>]table name exactly — if it does not exist on the codex side, codex reports an unknown provider rather than silently using the Mibyan endpoint. Anonymousprovider: custom(a barebase_url) is not eligible: it has no stable name to hand to codex, so it stays on Mibyan’ standard runtime. -
(Optional) Install the Codex plugins you want. When you enable the runtime, Mibyan auto-migrates whichever curated plugins you’ve already installed via Codex CLI:
Mibyan will discover them and write
[plugins."<name>@openai-curated"]entries to~/.codex/config.tomlautomatically.
Enabling
In a Mibyan session:- Verifies the
codexCLI is installed (blocks with an install hint if not). - Persists
model.openai_runtime: codex_app_serverto your config.yaml. - Migrates user MCP servers from
~/.mibyan/config.yamlto~/.codex/config.toml. - Discovers and migrates installed native Codex plugins (Linear, GitHub, Gmail, Calendar, Canva, etc.) by querying Codex’s
plugin/listRPC. - Registers Mibyan’ own tools as an MCP server so the codex subprocess can call back for tools codex doesn’t ship with.
- Writes
default_permissions = ":workspace"so the sandbox allows writes within the workspace without prompting for every operation. - Tells you what was migrated. Takes effect on the next session — the current cached agent keeps the prior runtime so prompt caches stay valid.
/codex-runtime on, /codex-runtime off, /codex-runtime auto.
To check current state without changing anything:
~/.mibyan/config.yaml:
codex from PATH — typical for gateway services,
cron and Kanban workers, or a desktop-bundled CLI — and the first turn fails with
No such file or directory: 'codex', point the runtime at the executable explicitly:
model.codex_bin is used everywhere Mibyan spawns codex: the /codex-runtime availability
check, native plugin discovery during migration, and the long-lived app-server subprocess.
The value is a single executable path, not a shell command — no quoting or extra arguments.
Self-improvement loop (memory + skill nudges)
Mibyan’ background self-improvement fires on counter thresholds:- Every 10 user prompts → a forked review agent looks at the conversation and decides whether anything should be saved to memory.
- Every 10 tool iterations within a single turn → same idea but for skills (
skill_managewrites).
commandExecution / fileChange / mcpToolCall / dynamicToolCall item into a synthetic assistant tool_call + tool result message, so by the time the review runs it sees the same shape it sees on the default Mibyan runtime.
How the wiring stays equivalent:
One detail: the review fork itself needs to call Mibyan’ agent-loop tools (
memory, skill_manage), which require Mibyan’ own dispatch. So when the parent agent is on codex_app_server, the review fork is downgraded to codex_responses — same OAuth credentials, same openai-codex provider, but talks to OpenAI’s Responses API directly so Mibyan owns the loop and the agent-loop tools work. This is invisible to the user.
Net effect: enable the codex runtime and your memory + skill nudges keep firing exactly as they would otherwise.
How approvals work
Codex requests approval before executing commands or applying patches. These get translated into Mibyan’ standard “Dangerous Command” prompt:- Allow once → approve this single command.
- Allow for this session → Codex won’t re-prompt for similar commands.
- Deny → command is rejected; Codex continues in read-only mode.
apply_patch (file edit) approvals, Mibyan shows a summary of what changed (1 add, 1 update: src/new.py, src/old.py) when codex provides the data via the corresponding fileChange item.
Permission profiles
Codex has three built-in permission profiles::read-only— no writes; every shell command requires approval:workspace— writes within the current workspace allowed without prompts (Mibyan’ default when you enable the runtime):danger-no-sandbox— no sandbox at all (don’t use this unless you understand it)
~/.codex/config.toml outside Mibyan’ managed block:
# managed by mibyan-agent markers.)
Auxiliary tasks and ChatGPT subscription token cost
When this runtime is on with theopenai-codex provider, auxiliary tasks (title generation, context compression, vision auto-detect, the background self-improvement review fork) also flow through your ChatGPT subscription by default, because Mibyan’ auxiliary client uses the main provider/model when no per-task override is set.
This isn’t specific to codex_app_server — it’s true for the existing codex_responses path too — but it’s more visible here because you’re explicitly opting in for the subscription billing.
To route specific aux tasks to a cheaper / different model, set explicit overrides in ~/.mibyan/config.yaml:
_current_main_runtime() and Mibyan downgrades it from codex_app_server to codex_responses automatically (so the fork can actually call memory and skill_manage — Mibyan’ own agent-loop tools). That fork still uses your subscription auth unless you’ve routed aux tasks elsewhere.
Editing ~/.codex/config.toml safely
Mibyan wraps everything it manages between two marker comments:
/codex-runtime codex_app_server, whenever you toggle the runtime on, or mibyan codex-runtime migrate) replaces the managed block in place but preserves user content above and below it verbatim. This means you can:
- Add your own MCP servers Mibyan doesn’t know about
- Override
default_permissionsto:read-onlyif you prefer to be prompted - Configure codex-only options (model, providers, otel, etc.)
- Add user-defined permission profiles in
[permissions.<name>]tables
[mcp_servers.<name>] table (outside the block) uses the same name as a server in Mibyan’ mcp_servers, your table wins: Mibyan skips its projection for that name instead of emitting a second [mcp_servers.<name>] header (which is invalid TOML and would stop codex from starting). The migration report lists such names under “Kept N user-owned MCP server(s)”. To let Mibyan manage the server, delete your table and re-run the migration. The rendered file is parsed as TOML before it replaces config.toml; an unparsable result is reported and the existing file is left untouched.
Running the migration from a script
/codex-runtime codex_app_server runs; it is idempotent, writes atomically, and exits non-zero when the report contains errors. It writes $CODEX_HOME/config.toml when CODEX_HOME is set (see below), otherwise ~/.codex/config.toml.
Multi-profile / multi-tenant setups
By default, Mibyan points the codex subprocess at~/.codex/ regardless of which Mibyan profile is active. This means mibyan -p work and mibyan -p personal share the same Codex auth, plugins, and config. For most users this is the right behavior — it matches what running codex CLI directly would do.
If you want per-profile Codex isolation (separate auth, separate installed plugins, separate config), set CODEX_HOME explicitly per profile. The cleanest way is to point at a directory under your mibyan_HOME:
codex login once with that CODEX_HOME set so the OAuth tokens land in the profile-scoped location. After that, mibyan -p work will operate on isolated Codex state.
We don’t auto-scope this because moving an existing user’s ~/.codex/ would silently invalidate their Codex CLI auth — anyone who already ran codex login would have to re-authenticate. Opt-in feels safer than surprising users.
HOME environment variable passthrough
Mibyan does NOT rewriteHOME when spawning the codex app-server subprocess (we use os.environ.copy() and only overlay CODEX_HOME and RUST_LOG). This means:
- Commands codex runs via its
shelltool see the real userHOMEand find~/.gitconfig,~/.gh/,~/.aws/,~/.npmrc, etc. correctly. - Codex’s internal state stays isolated through
CODEX_HOME(which points at~/.codex/by default).
MCP server migration
Mibyan’mcp_servers config is auto-translated to the TOML format Codex expects. The migration runs every time you enable the runtime and is idempotent — re-runs replace the managed section but preserve any user-edited Codex config.
What translates:
What’s not migrated:
- Mibyan-specific keys like
sampling(Codex’s MCP client has no equivalent — these are dropped with a per-server warning).
Native Codex plugin migration
Plugins installed viacodex plugin (Linear, GitHub, Gmail, Calendar, Canva, etc.) are discovered through Codex’s plugin/list RPC. For each plugin where installed: true, Mibyan writes a [plugins."<name>@openai-curated"] block enabling it in your Mibyan session.
This means: when your friend says “I have Calendar and GitHub set up in my Codex CLI” and they enable Mibyan’ codex runtime, Mibyan activates those automatically. No re-configuration needed.
What’s NOT migrated:
- Plugins you haven’t installed yet — install them in Codex first.
- Plugins where codex reports
availability != AVAILABLE(broken install, expired OAuth, removed from marketplace, etc.). These are skipped to avoid writing config that would fail at activation time. - ChatGPT app marketplace entries (the per-account
app/listresults — these are already enabled inside codex by virtue of your account auth). - Plugin OAuth — you authorize each plugin once in Codex itself; Mibyan doesn’t touch credentials.
Mibyan tool callback (the new MCP server)
Codex’s built-in toolset covers shell/file ops/patches but doesn’t have web search, browser automation, vision, image generation, etc. To keep those usable in a codex turn, Mibyan registers itself as an MCP server in~/.codex/config.toml:
web_search (or another exposed Mibyan tool), codex spawns the mibyan_tools_mcp_server subprocess via stdio, the request is dispatched through model_tools.handle_function_call(), and the result is projected back to codex like any other MCP response.
Tools available via the callback: web_search, web_extract, browser_navigate, browser_click, browser_type, browser_press, browser_snapshot, browser_scroll, browser_back, browser_get_images, browser_console, browser_vision, vision_analyze, image_generate, skill_view, skills_list, text_to_speech.
Tools NOT available: delegate_task, memory, session_search, todo. These need the running AIAgent context to dispatch (mid-loop state) and a stateless MCP callback can’t drive them. Use the default Mibyan runtime (/codex-runtime auto) when you need these.
Disabling
Switch back at any time:~/.codex/config.toml so you can re-enable later without losing config — or remove it manually if you prefer.
Limitations
This runtime is opt-in beta. Working as of Mibyan 2026.5 + Codex CLI 0.130.0:- Multi-turn conversations
commandExecutionandfileChange(apply_patch) approvals via Mibyan UI- MCP tool calls (verified against
@modelcontextprotocol/server-filesystemand the newmibyan-toolscallback) - Native Codex plugin migration (verified against Linear / GitHub / Calendar inventory)
- Deny/cancel paths
- Toggle on/off cycle
- Memory and skill nudge counters (verified live via integration tests)
- Mibyan web_search through codex (verified live: “OpenAI Codex CLI – Getting Started” returned end-to-end)
- Mibyan auth and codex auth are separate sessions. You need both
codex loginANDmibyan auth add openai-codexfor the cleanest UX (the runtime uses codex’s session for the LLM call). This is a deliberate design choice in Mibyan’_import_codex_cli_tokens— Mibyan won’t share OAuth state with codex CLI to avoid clobbering each other on token refresh. delegate_task,memory,session_search,todoare unavailable on this runtime. They need the running AIAgent context which a stateless MCP callback can’t provide. Use/codex-runtime autowhen you need these.- No inline patch preview in approval prompts when codex doesn’t track the changeset. Codex’s
fileChangeapproval params don’t always carry the changeset. Mibyan caches the data from the correspondingitem/startednotification when possible, but if approval arrives before the item has streamed, the prompt falls back to whateverreasoncodex provides. fallback_providersfail over only on quota and rate-limit failures. When a codex app-server turn fails with a billing / usage-limit / rate-limit error, Mibyan switches to the configured fallback provider and retries the same turn on it; auth failures (codex loginexpired), turn timeouts and unknown-model errors do not fail over on this runtime and surface as the turn’s error instead.- Prior Mibyan history is seeded only into a thread codex starts from scratch. A codex thread that codex hands back via
thread/resumealready holds the conversation. When no resumable thread exists — the session ran on another provider before/modelswitched to openai-codex, codex could not resume the stored thread, or the running thread was retired — the new thread’sdeveloperInstructionscarry Mibyan’ system prompt followed by the session’s prior turns (user and assistant text, tool names, tool-result previews; the most recent ~32K characters). When the composed prompt changes mid-session (for example/personalityin the TUI or Desktop), the next turn retires the running thread and starts a new one carrying the updated prompt plus that same history seed. - The codex thread itself does survive a restart. After each committed turn Mibyan stores the codex thread id on the session row (
codex_thread_idin the session’smodel_config,mibyan sessions/state.db). The next agent built for that same Mibyan session — a later/api/sessions/{id}/chatrequest, or the first turn after the API server or gateway restarts — issuesthread/resumefor the stored id beforeturn/start, so the model keeps its own memory of the earlier turns (that is why no history seed is sent on resume). When codex cannot hand the thread back (its rollout was deleted,CODEX_HOMEchanged, the previous app-server was killed while still writing it), Mibyan fails closed: it drops the stored id, starts a fresh thread and shows one line —Codex thread could not be resumed; starting a new one.— on the status rail of the surface you are on (CLI, TUI/Desktop, messaging gateway). A/newsession never resumes an older thread. - Sub-second cancellation isn’t guaranteed. Mid-stream interrupts (Ctrl+C while codex is responding) are sent via
turn/interrupt, but if codex has already flushed the final message, you get the response anyway.
mibyan logs --since 5m. Mention codex-runtime in the title so it’s easy to triage.

