# Add to your Claude Code skills
git clone https://github.com/roampal-ai/roampalLast scanned: 5/30/2026
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}roampal is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by roampal-ai. Memory that learns what works. It has 122 GitHub stars.
Yes. roampal passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/roampal-ai/roampal" and add it to your Claude Code skills directory (see the Installation section above).
roampal is primarily written in Python. It is open-source under roampal-ai on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh roampal against similar tools.
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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
Connect Roampal to Claude Desktop, Cursor, and other MCP-compatible tools.
Settings → Integrations → Connect → Restart your tool
7 tools available: search_memory, add_to_memory_bank, update_memory, archive_memory, get_context_insights, record_response, score_memories
┌─────────────────────────────────────────────────────────┐
│ 5-TIER MEMORY │
├─────────────┬─────────────┬─────────────┬──────────────┤
│ Books │ Working │ History │ Patterns │
│ (permanent) │ (24h) │ (30 days) │ (permanent) │
├─────────────┴─────────────┴─────────────┴──────────────┤
│ Memory Bank │
│ (permanent user identity/prefs) │
└─────────────────────────────────────────────────────────┘
Core Technology:
Works with any tool-calling model via Ollama or LM Studio:
| Model | Provider | Parameters |
|---|---|---|
| Llama 3.x | Meta | 3B - 70B |
| Qwen 2.5 | Alibaba | 3B - 72B |
| Mistral/Mixtral | Mistral AI | 7B - 8x22B |
| GPT-OSS | OpenAI (Apache 2.0) | 20B - 120B |
| Document | Description |
|---|---|
| Architecture | 5-tier memory, retrieval pipeline, technical deep-dive |
| Benchmarks | LoCoMo evaluation, TagCascade results |
| Release Notes | Latest (v0.3.3): multimodal image input, dynamic capability + context detection, ChromaDB phantom-handling closing issue #8, atomic config writes, Harmony token cleanup |
AI Safety: LLMs may generate incorrect information. Always verify critical information. Don't rely on AI for medical, legal, or financial advice.
Model Licenses: Downloaded models (Llama, Qwen, etc.) have their own licenses. Review before commercial use.
Free & open-source (Apache 2.0 License)
Made with love for people who want AI that actually remembers