Memory that learns what works.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"roampal": {
"command": "<see-readme>",
"args": []
}
}
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Memory that learns what works.
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.
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Memory that learns what works.
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
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