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roampal-ai/roampal-core

v0.4.3 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 2mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agent-memory ai-assistant ai-coding ai-coding-assistant ai-memory ai-tools
+14 more
chromadb claude-code coding-assistant developer-tools llm long-term-memory mcp mcp-server memory model-context-protocol opencode persistent-memory python semantic-search

Summary

AI summary

Replaces PyTorch + sentence-transformers with ONNX Runtime inference, reducing install size from ~2.5GB to ~200MB while preserving embeddings and behavior.

Full changelog

What's Changed

Replaces PyTorch + sentence-transformers with direct ONNX Runtime inference. Install drops from ~2.5GB to ~200MB. Same model, same 768-dimension embeddings, same ChromaDB collections — zero user-facing change.

Highlights

  • Zero new dependencies — onnxruntime, tokenizers, huggingface-hub, numpy are all already installed via chromadb
  • Identical embeddings — cosine similarity vs PyTorch: 1.0000000, multilingual verified across 8 languages
  • Optimized model — uses model_O4.onnx (529MB, half the unoptimized size), identical latency
  • roampal doctor — now checks new deps, hints if torch is installed but no longer needed

Install / Upgrade

pip install --upgrade roampal

Full Release Notes | PyPI

View diff on GitHub

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About roampal-ai/roampal-core

Outcome-based persistent memory for AI coding tools. Memories that help get promoted, memories that mislead get demoted. Works with Claude Code and OpenCode via hooks + MCP.

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Related context

Beta — feedback welcome: [email protected]