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Drop your files and search immediately.\n- **Self-Evolving Knowledge** — Knowledge clusters compound with every search, delivering faster and richer results over time.\n- **Monte Carlo Evidence Sampling** — Extract precise evidence from large documents without reading them in full.\n- **ReAct Agent Fallback** — An autonomous agent iteratively explores alternative strategies when standard retrieval falls short.\n- **Multi-Surface Integration** — MCP, REST API, WebSocket, CLI, and Web UI — all built in.\n- **Token-Efficient Design** — LLM inference only when necessary. Monte Carlo sampling and knowledge reuse minimize costs.\n\n## Links\n\n- **Source Code**: [github.com/modelscope/sirchmunk](https://github.com/modelscope/sirchmunk)\n- **Documentation**: [modelscope.github.io/sirchmunk-web/docs/](https://modelscope.github.io/sirchmunk-web/docs/)\n- **Blog \u0026 Technical Report**: [modelscope.github.io/sirchmunk-web/blog/](https://modelscope.github.io/sirchmunk-web/blog/)\n- **Releases**: [github.com/modelscope/sirchmunk/releases](https://github.com/modelscope/sirchmunk/releases)\n\n## License\n\nApache License 2.0\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmodelscope%2Fsirchmunk-web","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmodelscope%2Fsirchmunk-web","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmodelscope%2Fsirchmunk-web/lists"}