Memory that learns what works.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"roampal": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
Memory that learns what works. So you can do more of it.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Click any tool to inspect its schema.
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in productivity
Persistent memory using a knowledge graph
Dynamic problem-solving through sequential thought chains
mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
MCP server for monday.com integration.
MCP Security Weekly
Get CVE alerts and security updates for Roampal and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
Memory that learns what works. So you can do more of it.
Say it worked. Say it didn't. The AI remembers.
Stop re-explaining yourself every conversation. Roampal remembers outcomes, learns from feedback, and gets smarter over time—all 100% private and local.
85.8% non-adversarial on LoCoMo (1,986 questions). +23 pts over raw ingestion. Absorbs 1,135 poison memories losing only 4 pts. (Paper)
LoCoMo dataset (1,986 questions, 5 categories, corrected ground truths). Evaluated with roampal-labs. Dual-graded by local 20B + MiniMax M2.7.
| Metric | Result |
|---|---|
| Non-adversarial accuracy (MiniMax-regraded) | 85.8% |
| Overall (all 5 categories) | 76.6% |
| vs raw ingestion baseline | +23 pts (76.6% vs 53.0%, p<0.0001) |
| Poison resilience | -4.2 pts after 1,135 adversarial memories |
| No-memory baseline | 6.0% (model has zero LoCoMo knowledge) |
| Architecture vs model | Architecture: +23 pts. Model swap (GPT-4o-mini): 1.5-2.5 pts |
| Config | Hit@1 Clean | Hit@1 Poison | p-value |
|---|---|---|---|
| TagCascade + cosine | 27.3% | 29.0% | baseline |
| Overlap + cosine | 25.8% | 28.0% | p=0.0003 |
| Pure CE | 25.4% | 28.4% | — |
| TagCascade + Wilson | 23.0% | 25.0% | p<0.0001 |
Full methodology in roampal-labs
Roampal.exe → Run as administratorYour AI starts learning about you immediately.
Memory That Learns
Your Knowledge Base
Privacy First