Explore live open-source projects and AI models.

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

The semantic deployment platform.

A self-learning data agent built with systems engineering principles. It grounds answers in 6 layers of context and improves with every query.

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

A super light-weight embedded code search engine CLI (AST based) that just works - saves 70% token and improves speed for coding agent 🌟 Star if you like it!

No description available from source.

Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.

The knowledge compiler. Raw sources in, interlinked wiki out. Inspired by Karpathy's LLM Wiki pattern.

The toolkit for AI devtools context engineering. Build with codebase mapping, symbol extraction, and many kinds of code search.

The Future of Data Engineering — A CLI SQL client for the modern data stack, enabling AI-native context engineering for data.