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openclaw - 💡(How to fix) Fix Feature: Session transcript persistence across restarts [1 participants]

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openclaw/openclaw#56191•Fetched 2026-04-08 01:43:52
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htekdevhtekdev
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htekdevhtekdev

Error Message

  • Learned behaviors discovered through trial and error

Root Cause

The workspace backup/restore pattern solves ~30-40% of continuity. The agent knows facts. But conversations carry context that structured files don't capture. Session persistence would close the remaining gap and dramatically reduce the 'reteaching' problem.

Fix Action

Fix / Workaround

Current Workaround

RAW_BUFFERClick to expand / collapse

Problem

When the agent restarts (VM reprovisioning, crash, update), all conversation history is lost. The workspace files (MEMORY.md, SOUL.md, USER.md, etc.) survive via backup/restore, but the actual session transcripts do not.

This means every fresh session feels like starting over — the agent has knowledge but no working memory of recent interactions. Users end up reteaching tone, in-progress decisions, and context that was established conversationally but never captured in workspace files.

What's Lost on Restart

  • Recent conversation history (tone, rhythm, in-progress threads)
  • Half-formed decisions being worked through in dialogue
  • Learned behaviors discovered through trial and error
  • The how of working together, not just the what

Proposed Solution

Persist recent session transcripts (or summaries) so they can be reloaded on startup. Options:

  1. Full transcript persistence — store last N sessions, reload on boot
  2. Auto-summarization — on session end, generate a summary and write to memory/ automatically
  3. Hybrid — persist full transcripts for recent sessions (last 24-48h), summaries for older ones

Why This Matters

The workspace backup/restore pattern solves ~30-40% of continuity. The agent knows facts. But conversations carry context that structured files don't capture. Session persistence would close the remaining gap and dramatically reduce the 'reteaching' problem.

Current Workaround

Manual discipline: agent writes to memory/YYYY-MM-DD.md during conversations. This helps but is lossy — the agent has to decide what's worth capturing in real-time, and nuance gets lost.

extent analysis

Fix Plan

To address the issue of lost conversation history, we will implement a hybrid approach that combines full transcript persistence for recent sessions and auto-summarization for older ones.

Step-by-Step Solution

  • Choose a storage solution: Select a suitable database or file storage system to store session transcripts and summaries.
  • Implement transcript persistence:
    • Store full transcripts for the last 24-48 hours.
    • Use a unique identifier for each session.
  • Implement auto-summarization:
    • Generate summaries for sessions older than 24-48 hours.
    • Store summaries in a separate database or file.
  • Reload transcripts on startup:
    • Load full transcripts for recent sessions.
    • Load summaries for older sessions.

Example Code (Python)

import os
import json
from datetime import datetime, timedelta

# Define storage directory
storage_dir = 'session_transcripts'

# Define transcript persistence function
def persist_transcript(session_id, transcript):
    # Store full transcript for recent sessions
    with open(os.path.join(storage_dir, f'{session_id}.json'), 'w') as f:
        json.dump(transcript, f)

# Define auto-summarization function
def auto_summarize(session_id, transcript):
    # Generate summary for older sessions
    summary = generate_summary(transcript)
    # Store summary in a separate database or file
    with open(os.path.join(storage_dir, f'{session_id}_summary.json'), 'w') as f:
        json.dump(summary, f)

# Define reload transcripts function
def reload_transcripts():
    # Load full transcripts for recent sessions
    recent_sessions = []
    for file in os.listdir(storage_dir):
        if file.endswith('.json') and datetime.fromtimestamp(os.path.getmtime(os.path.join(storage_dir, file))) > datetime.now() - timedelta(hours=24):
            with open(os.path.join(storage_dir, file), 'r') as f:
                recent_sessions.append(json.load(f))
    # Load summaries for older sessions
    older_sessions = []
    for file in os.listdir(storage_dir):
        if file.endswith('_summary.json'):
            with open(os.path.join(storage_dir, file), 'r') as f:
                older_sessions.append(json.load(f))
    return recent_sessions, older_sessions

Verification

To verify that the fix worked, restart the agent and check that recent conversation history is preserved. Test the following scenarios:

  • Restart the agent and verify that full transcripts are reloaded for recent sessions.
  • Verify that summaries are loaded for older sessions.
  • Test the auto-summarization function by generating a summary for an older session.

Extra Tips

  • Consider implementing a retention policy for stored transcripts and summaries to ensure that storage space does not become excessive.
  • Use a secure storage solution to protect sensitive conversation data.
  • Monitor the performance impact of loading transcripts and summaries on startup and adjust the implementation as

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#conversation history#dependency conflict#environment setup#docker error#permission error

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