GitHub 2026-03-29 Daily Trending Projects

For creators and researchers, Deep-Live-Cam enables real-time face-swapping and one-click video deepfakes from a single image with GPU and Apple Silicon acceleration; useful for creative demos and live shows but requires strict legal and ethical compliance.

Superpowers provides a composable skills library and TDD-enforced agent workflow for Claude Code, enabling end-to-end automation from design and planning to subagent execution, with plugin integration and extensibility.

AI Scientist-v2 offers an end-to-end agentic pipeline to ideate, run experiments, and draft papers; it requires sandboxed GPU environments and has unclear license and maintenance guarantees.

Dexter is an autonomous multi-agent system designed for professional financial research that plans and executes data retrieval, computation, and self-validation—suitable for quant research and enterprise finance automation.

Community‑driven open‑source CRM aiming to replace Salesforce — supports self‑hosting, customizable objects, views and automations, ideal for SMBs and developer teams building plugin ecosystems

Onyx is a self-hosted AI chat and RAG platform for teams, compatible with diverse LLMs and offering extensive connectors and deployment options, aimed at enterprise use with ops capability.

Chandra is an OCR and structured-extraction platform for complex documents, emphasizing multilingual support, layout preservation, and strong table/math recognition—suited for organizations needing high-quality document digitization and structured outputs.

AgentScope: a production-ready, extensible agent framework for deployable multi-agent and RL systems.

Apache Superset is an enterprise-focused open-source data visualization and exploration platform offering a no-code chart builder, a powerful web SQL editor, a lightweight semantic layer, and broad SQL datastore support. It fits teams seeking self-hosted, extensible BI with containerized deployment options; however, verify repository activity and licensing before production adoption.