Issue Station
Sign In
Tools hereToolbox

openclaw - 💡(How to fix) Fix [Feature]: Native Chat Interface / Session Browser (similar to ClawGPT) [1 comments, 2 participants]

Official PRs (…)
ON THIS PAGE

Recommended Tools

×6

Utilities matched from this issue’s tags and category — try them while you read without losing context.

GitHub issue graph ai analysis

Paste a GitHub issue URL. We fetch that issue, discover linked issues from bodies/comments/timeline, collect linked pull requests, and produce a structured English report.

The report is written in English Markdown for sharing and archival.

Helpful · Quick feedback

Loading…
GitHub stats
openclaw/openclaw#49926•Fetched 2026-04-08 01:01:11
View on GitHub
Comments
1
Participants
2
Timeline
2
Reactions
0
Author
aaronade0aaronade0
Participants
aaronade0aaronade0RyceRyce
Timeline (top)
commented ×1labeled ×1

It would be extremely helpful to have a native chat interface / session browser built into OpenClaw, similar to what https://github.com/craihub/clawgpt provides.

Root Cause

It would be extremely helpful to have a native chat interface / session browser built into OpenClaw, similar to what https://github.com/craihub/clawgpt provides.

RAW_BUFFERClick to expand / collapse

Summary

It would be extremely helpful to have a native chat interface / session browser built into OpenClaw, similar to what https://github.com/craihub/clawgpt provides.

Key features that would be valuable:

  • Session history browser with persistent chat logs
  • ChatGPT-like sidebar showing past conversations
  • Ability to resume previous sessions from where you left off
  • Search/filter through chat history
  • Per-session context and continuity

Use case:

Currently, sessions start fresh and there's no built-in way to review past conversations or resume where you left off. A native session browser would significantly improve the user experience, especially for long-running agent workflows.

Reference:

ClawGPT (https://github.com/craihub/clawgpt) demonstrates this functionality well — native integration would be preferred over a third-party solution.

Additional context:

This was also mentioned in my HEARTBEAT.md monitoring (checking for OpenClaw UI improvements). Having this natively would eliminate the need for external tools like ClawGPT.

Problem to solve

Currently, OpenClaw sessions start completely fresh every time. There is no built-in way to:

  • Review past conversations or agent interactions
  • Resume a previous session from where you left off
  • Search through chat history for context or references
  • Maintain continuity across multiple interactions with the same agent

This forces users to rely on external memory files or third-party tools like ClawGPT to fill this gap.

Proposed solution

A native Session Browser / Chat Interface integrated directly into OpenClaw:

  • Persistent session storage — Save conversation history with metadata (timestamps, model used, tools invoked)
  • ChatGPT-like sidebar — Browseable list of past sessions with preview/snippet
  • Session resumption — Click any past session to continue where you left off
  • Search & filter — Full-text search across all session history
  • Session labeling — Allow users to name/tag sessions for easier retrieval
  • Export options — Markdown/JSON export for archiving

Alternatives considered

No response

Impact

  • UX improvement: Users can actually use OpenClaw for long-running projects without losing context
  • Debugging: Easier to review what agents did and when
  • Knowledge management: Historical queries and solutions remain accessible
  • Reduced friction: No need for external tools like ClawGPT — everything stays in OpenClaw

Evidence/examples

No response

Additional information

No response

extent analysis

Fix Plan

To implement a native chat interface/session browser in OpenClaw, follow these steps:

  • Step 1: Persistent Session Storage
    • Design a database schema to store conversation history with metadata (e.g., timestamps, model used, tools invoked)
    • Implement a data access layer to interact with the database
  • Step 2: ChatGPT-like Sidebar
    • Create a UI component to display a browseable list of past sessions with preview/snippet
    • Use a library like React or Angular to build the sidebar
  • Step 3: Session Resumption
    • Implement a feature to resume a previous session from where the user left off
    • Use a unique session ID to identify and retrieve the corresponding conversation history
  • Step 4: Search & Filter
    • Implement full-text search across all session history
    • Use a library like Elasticsearch or Algolia to handle search functionality
  • Step 5: Session Labeling & Export Options
    • Allow users to name/tag sessions for easier retrieval
    • Implement Markdown/JSON export options for archiving

Example Code

# Step 1: Persistent Session Storage
import sqlite3

# Create a database connection
conn = sqlite3.connect('openclaw.db')
cursor = conn.cursor()

# Create a table to store conversation history
cursor.execute('''
    CREATE TABLE IF NOT EXISTS conversations (
        id INTEGER PRIMARY KEY,
        timestamp TEXT,
        model TEXT,
        tools TEXT,
        conversation TEXT
    );
''')

# Step 2: ChatGPT-like Sidebar
import React from 'react';

const Sidebar = () => {
    const [conversations, setConversations] = React.useState([]);

    // Fetch conversation history from database
    React.useEffect(() => {
        fetch('/conversations')
            .then(response => response.json())
            .then(data => setConversations(data));
    }, []);

    return (
        <div>
            {conversations.map(conversation => (
                <div key={conversation.id}>
                    <h2>{conversation.model}</h2>
                    <p>{conversation.conversation}</p>
                </div>
            ))}
        </div>
    );
};

# Step 3: Session Resumption
def resume_session(session_id):
    # Retrieve conversation history from database
    cursor.execute('SELECT conversation FROM conversations WHERE id = ?', (session_id,))
    conversation = cursor.fetchone()[0]

    # Resume the conversation
    # ...

Verification

To verify that the fix worked, test the following scenarios:

  • Create a new conversation and verify that it is stored in the database
  • Resume a previous conversation and verify that the conversation history is retrieved correctly
  • Search for a conversation and verify that the correct results are returned
  • Label a conversation and verify that it can be retrieved by its label
  • Export a conversation and verify that it is exported in the

Vote matrix · Quick signals

Works
Did the solution work? Tap to confirm.
Easy Fix
Was it a quick fix?
Time Saver
Did it save you time?
Blocking
Was it severely blocking?
Common Issue
Are others likely hitting this too?
Flaky / Intermittent
Is it intermittent?
Verified / Reproducible
Can you reproduce it reliably?
Loading…
#api#ssr#installation#tensor shape#conversation history#logging issue#authentication issue#prompt issue#agent setup

Still need to ship something?

×6

Another batch ranked right after the header list — different links, same matching logic.

Back to top recommendations

TRENDING