Is an earlier assistant message proof that a test passed?

No. Check the recorded result and whether it applies to the current code. If the evidence is missing, preserve the uncertainty and run an appropriate check when authorized.

Should I put every conversation into the project record?

Usually a reviewed summary is more useful. Preserve decisions, outcomes, meaningful failures, and the next action, with references to the original evidence where needed.

Can another assistant continue from a short summary?

Yes, when the summary states the goal, current state, constraints, relevant files, verification, and next step. The assistant should still inspect the current work before changing it.

What if I cannot find the session that explains a change?

Use the repository and other available records to reconstruct the facts. Mark the missing reason as unknown instead of inventing an explanation or attributing approval to someone.

Codex CLI History: Find and Review Earlier Work

Find an earlier Codex CLI session, understand what its messages prove, and turn the useful parts into a clear project record for the next person or assistant.

August 5, 2026Updated October 21, 20265 min read

To find Codex CLI history, start with codex resume and choose the saved conversation you want to review. Use the earlier messages to understand the work, then verify any important claim against the current files and available results. A transcript shows what was discussed; it does not by itself establish what is true now.

fenbs keeps a separate record of tasks, decisions, progress, and who changed what. That is useful when the answer you recover from a Codex session needs to reach a teammate or another AI assistant, rather than remain inside one conversation.

How do you find an earlier Codex CLI conversation?

Open your terminal in the relevant project and run codex resume to see saved sessions.
If the session is missing, try codex resume --all to include work from other directories.
If you already know the session identifier, use codex resume SESSION_ID, replacing SESSION_ID with that identifier.
Once you find the right conversation, review its goal and last completed work before giving it another instruction.

The official OpenAI command reference (opens in a new tab) documents these options. Inside the interactive CLI, /resume opens a saved-session picker, while /rename gives the current chat a recognizable name. Use a short name that describes the work, such as “contact form delivery check,” rather than a name that could fit every session.

Keep a small clue when you stop: the project, the task, and the session’s name or identifier. That makes a later search more purposeful. The Codex CLI commands guide covers other commands you may encounter while reviewing earlier work.

Which kinds of history should you distinguish?

Different records answer different questions
Record	Useful question	What still needs checking
Terminal command history	Which command did I type?	What the assistant said or changed afterward.
Codex conversation	What was asked, attempted, and reported?	Whether the reported outcome matches current files and results.
Git history	Which code changes were saved in commits?	Why people chose them and what unfinished work remains.
Shared project record	What is the accepted state and next action?	Whether its summary is current and linked to supporting evidence.

Say you remember running a command that opened Codex, but cannot recall why the session stopped. Your shell’s history may help locate the command. The Codex conversation may explain that a test failed. The repository may show a partial fix. You need those pieces together to decide what to do next.

Avoid treating the longest record as the most authoritative one. A detailed conversation can contain abandoned suggestions and outdated observations. A short, reviewed task update can be more useful for continuing work, provided it says what was verified and what remains open.

How should you read an old session without repeating mistakes?

Start with the original request and the latest meaningful result. Then trace backward only when you need to understand a choice or explain a failure. Reading every turn in order is sometimes necessary, but it can bury the point you came to recover under several attempts that were later rejected.

Separate requests from proposals. A suggested rewrite is not the same as a person approving it.
Separate attempted commands from successful results. Look for the actual outcome and any error.
Separate reported edits from the code that exists now. Review the relevant files and changes.
Separate completed work from remaining checks. A final response may still name an unresolved problem.

For a hypothetical form fix, recover three facts: what behavior was wrong, which change was made, and whether delivery was tested. If the only evidence is “the form should work,” keep delivery marked as unverified. Do not turn tentative language into certainty when you summarize it.

This evidence-first reading fits the Codex CLI best practices guide. When a human choice matters beyond the session, record its reason in fenbs so later assistants do not have to infer approval from conversational tone.

Why might saved history be missing or incomplete?

First check whether you are looking in the expected project and user environment. A different machine, user account, or terminal environment is a useful clue when a session you remember is absent. On Windows, distinguish native Windows and any Linux environment you also use; the Codex CLI on Windows guide explains that setup.

OpenAI’s troubleshooting guide (opens in a new tab) lists session transcripts under $CODEX_HOME/sessions and archived sessions under $CODEX_HOME/archived_sessions, with ~/.codex as the default home. These saved-session locations are the relevant diagnostic clues; do not assume a file called history contains every conversation or controls whether it can be resumed.

For scripted work, also check how the run started. OpenAI’s non-interactive mode guide (opens in a new tab) documents --ephemeral for runs that do not persist session files. Read before changing anything, and do not edit internal files to make a session reappear. If you cannot establish the earlier state, say so and reconstruct the next step from the repository and other records.

What should you preserve after reviewing the history?

Save a concise outcome that someone can act on. Include the task, the relevant files, what changed, what a person decided, the checks actually performed, and the next action. Link to supporting material where appropriate, but make the summary understandable without requiring access to your terminal.

Example of a reviewed progress note

Task: repair contact form delivery
Changed: form validation and the mail request helper
Verified: validation checks passed
Not verified: delivery through the production mail service
Decision: keep the existing mail provider, as chosen by the project owner
Next: have an authorized person perform the delivery check

Remove credentials, personal information, and unrelated output before sharing excerpts. Keep exact error text only when it helps the recipient understand the problem. A useful handoff should reduce the amount another person must read while preserving the uncertainty they need to respect.

How fenbs helps

Turn recovered history into a usable work record

Save the reviewed task outcome, the human decision, and the remaining step in fenbs. History records changes with who made them, while Where we left off gives the next assistant a clear place to begin without importing the raw conversation.

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How do you prevent the next history search from becoming a project?

End sessions with a short status update while the details are still fresh. Ask the assistant to distinguish completed work, failed attempts worth remembering, and the next step. Review that update before relying on it, especially if it claims a test passed or a person approved something.

Keep reference material and active work connected. The repository holds the files; the shared task explains their current purpose. OpenAI’s CLI overview (opens in a new tab) describes working against a local repository, which is why the project’s present state still matters when an old conversation is available.

How to do this with fenbs

Create a free account and add the project whose earlier work you are reviewing.
Create or update the matching task with the reviewed outcome and current status. Include which checks ran and which checks remain.
Record decisions a person actually made in Decisions and rules. Keep an assistant’s suggestion separate until a person chooses it.
Connect Codex CLI through the integration guide, then ask it to read AI context at the start and save progress before stopping.

fenbs does not read or import Codex chat history, and it does not restore missing sessions. If you only need to reopen your own conversation, the CLI’s saved sessions may be enough. Use the shared record when the reviewed outcome needs to survive a new assistant, a teammate, or a later session; find related guidance in AI handoffs.