modelscope/sirchmunk
🐿️ Sirchmunk: Raw data to self-evolving intelligence, real-time.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
2 releases in the last 90 days, the latest 35 days ago, with 11 contributors on GitHub.
Gained 53% more stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Transforms raw data into a self-evolving, real-time intelligence system using agentic search and Monte Carlo evidence sampling without relying on vector embeddings.
- Eliminates costly vector indexing by enabling instant, context-aware search directly on raw data with dynamic updates and token-efficient LLM reasoning.
- Use for building real-time knowledge bases that evolve automatically as new data arrives, ensuring always-fresh insights.
- Use for integrating intelligent search capabilities into AI assistants via Model Context Protocol for seamless tool interoperability.
- Use for deploying scalable, low-overhead search services with a web UI and Docker support to analyze massive local or web datasets efficiently.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
🔍 Agentic Search • 🧠 Knowledge Clustering • 📊 Monte Carlo Evidence Sampling
⚡ Indexless Retrieval • 🔄 Self-Evolving Knowledge Base • 💬 Real-time Chat
Intelligence pipelines built upon vector-based retrieval can be rigid and brittle. They rely on static vector embeddings that are expensive to compute, blind to real-time changes, and detached from the raw context. We introduce Sirchmunk to usher in a more agile paradigm, where data is no longer treated as a snapshot, and insights can evolve together with the data.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
150+18
Open issues
33+3
Compared with peers in Backend
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| anthropics/skills | 187.8K | +2.9K | 15 | — |
| DuarteSantos8/openGym | 19.7K | +2.4K | 60 | 2 days ago |
| shiyu-coder/Kronos | 47.0K | +2.3K | 16 | — |
| NationalSecurityAgency/ghidra | 98.2K | +2.3K | 64 | 14 days ago |
| microsoft/VibeVoice | 56.0K | +1.1K | 29 | — |
| modelscope/sirchmunk | 1.4K | — | 30 | 35 days ago |
| Category median | 56.0K | +2.3K | 29 | — |
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