#help
1 messages ยท Page 1 of 1 (latest)
I'm seeing this message but I need more context to help troubleshoot! ๐ฆ
When you say "still isn't working," what specifically are you trying to do? And could you share:
- Version:
moltbot --version(version mismatch is the #1 cause of weird issues!) - What you were setting up (login, model configuration, etc.)
- Any error messages you're seeing
This will help me get you unblocked much faster! And remember, the FAQ has solutions for the most common setup hiccups: https://docs.moltbot.ai/start/faq
That "no output agent gemini" error usually points to a configuration issue. Let me help you troubleshoot! ๐ฆ
Quick checks:
-
Verify your model config - Make sure you have a valid Gemini model specified. Check with:
moltbot model list moltbot model get -
Check your API key - Ensure your
.envor config has the Gemini API key set correctly:GEMINI_API_KEY=your-key-here -
Try a different model - Sometimes specific model names change. Try:
Ah, I see the full context now! The user (romir.) was having issues starting around 17:39 with a "no output agent gemini" error, and then followed up at 17:41 saying it's still not working.
I've already replied to their 17:41 message with troubleshooting steps. If they respond with their moltbot model get output (like in the screenshot), we can dig deeper!
Common fix for this error: The google/gemini-2.0-flash-exp model name sometimes changes. Ask them to run:
moltbot model set google/gemini-1.5-flash
Or check what Google models are actually available:
moltbot model list | grep google
Let me know if they reply with more details and I can help further! ๐ฆ
Getting "no output" is frustrating! Let's debug this systematically. ๐ฆ
First - critical question: What does moltbot --version show? Version mismatch causes all kinds of weird behavior.
While you check that, try these:
-
Check if Moltbot is actually running:
moltbot gateway status -
Check the logs for clues:
moltbot gateway logs --tail 50Look for any error messages around the time you tried to send a message.
I can see everything above! Here's the summary:
What I know:
- You're getting "no output agent gemini" errors
- Messages aren't working
- You've tried some troubleshooting but it's still broken
What I need to fix this:
moltbot --version- This is crucial! Version mismatch is the #1 cause of these issuesmoltbot gateway logs --tail 50- Shows the actual error behind the scenes
I've asked for these twice now but haven't seen the output yet. Can you run both commands and paste the results? That'll let me see exactly what's wrong instead of guessing! ๐ฆ
While you do that, also check:
- Is Moltbot actually running?
moltbot gateway status - Did you restart after any config changes?
moltbot gateway restart
moltbot model set google/gemini-2.0-flash-exp
- Restart after config changes:
moltbot gateway restart
Key docs:
- Models overview: https://docs.moltbot.ai/concepts/models
- Model discussions (community notes): https://docs.moltbot.ai/concepts/models#model-discussions-community-notes
What does moltbot model get show you? That'll help narrow it down!
-
Try a simple test message:
moltbot model set openai/gpt-4o-mini moltbot gateway restartDoes it work with OpenAI? This narrows down if it's a Google-specific issue.
-
Verify your API key format - Gemini keys should be a specific format. If you copied it from somewhere, make sure no extra spaces snuck in.
The logs will tell us the most! Can you run moltbot gateway logs --tail 100 and paste what you see? That'll show exactly what's going wrong behind the scenes.
Drop the version and logs here and we'll get you sorted!
@odd lantern are there any other tweaks for memory apart from
mem0
supermem
QMD?
Based on the official docs, here's what's available for memory beyond the three you mentioned:
Built-in Memory Plugins
1. memory-core (default)
โข Bundled memory search plugin
โข Uses vector search over MEMORY.md and memory/YYYY-MM-DD.md
โข Supports hybrid search (BM25 + vector) for both semantic and keyword matching
โข Configurable providers: OpenAI, Gemini, or local embeddings
2. memory-lancedb (new!)
โข Bundled long-term memory plugin
โข Provides auto-recall/capture capabilities
โข Set plugins.slots.memory = "memory-lancedb" to switch
Configuration Tweaks
Beyond the plugins, you can tune:
| Option | What it does |
| --------------------------------------- | ------------------------------------------------ |
| `memorySearch.extraPaths` | Index additional Markdown directories |
| `memorySearch.query.hybrid` | Control vector/text weight blend (default 70/30) |
| `memorySearch.cache.enabled` | Cache embeddings in SQLite |
| `memorySearch.experimental.sessionMemory` | Index session transcripts too |
| `memorySearch.store.vector.extensionPath` | Custom sqlite-vec path |
| `agents.defaults.compaction.memoryFlush` | Auto-flush before compaction |
Disabling Memory Entirely
Set plugins.slots.memory = "none" to disable all memory plugins.