SoulPrint: Local Tool for Searching Claude and ChatGPT History Together
SoulPrint is a local-first application that imports conversation exports from Claude (.json) and ChatGPT (.zip) into a single canonical archive on your machine, allowing you to search across both AI assistant histories together. The tool is built with Python/Flask/SQLite, runs entirely locally, and is licensed under Apache-2.0.
Key Features
- Import: Drop your export file and the provider is auto-detected. The tool handles duplicates and your data never leaves localhost.
- Search: Full-text search across all providers simultaneously with BM25 ranking, highlighted snippets, and results that link directly to exact messages.
- Ask: Provides grounded answers that cite specific messages from your history. If it can't find evidence, it says so to avoid hallucination.
- Clip: Select text in any conversation and save it as a note with automatic citation linking back to the source.
- Distill: Select conversations across providers and compress them into a handoff briefing that ends with "Please continue from this context." You can paste this into a new Claude or ChatGPT chat to continue where you left off.
- Export: Creates a Memory Passport with manifest, provenance index, and validation. Your archive is a SQLite file that you can open with any viewer.
Technical Details
The tool includes 595 tests and is the developer's first repository. Gemini support is planned for the future. The developer is also planning cross-model comparison features to show where Claude and ChatGPT gave different answers on the same topic.
The cross-provider approach differentiates SoulPrint from other tools, allowing users to see their Claude and ChatGPT history side by side with clear provenance. As the developer notes: "Their job is to keep you inside their platform. SoulPrint's job is the opposite."
📖 Read the full source: r/ClaudeAI
👀 See Also
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hipEngine is a new open-source (AGPLv3) ROCm-native inference engine for Qwen 3.6 MoE on RDNA3 GPUs. Benchmarks show prefill up to 2718 tok/s on 7900 XTX, competitive with llama.cpp, and INT8 KV cache enabling full 256K context in under 24GB.