Project Vyasa is a local-first research execution framework for DGX Spark that helps researchers, journal authors, and domain experts turn unstructured documents into defensible, evidence-bound manuscripts for high-stakes, long-running inquiry. It keeps humans in control of judgment while AI handles extracting, validating, and governing evidence.
docker knowledge-graph dashboards observability ai-agents opik tailwind workflow-orchestration langchain research-automation langgraph firecrawl manuscript-generation kpis-include sglang-bankend dgx-spark ai-enabled-research evidence-based-writing
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Updated
Jan 11, 2026 - Python