Stars
Source code for the X Recommendation Algorithm
Big Iron — AI-Native SDLC. Hermes Agent + Supermodel code graph, graph-gated at every phase.
⚙️ ASIMOV widget for rendering graph-like items.
Source repository for the ASIMOV Directory website.
multilspy is a lsp client library in Python intended to be used to build applications around language servers.
Globstar is a fast, feature-rich, and open-source static analysis toolkit for writing and running code checkers. Based on tree-sitter.
📚 A community knowledge base for awesome flow-based programming (FBP) resources. Contributions most welcome!
A polyglot document intelligence framework with a Rust core. Extract text, metadata, and structured information from PDFs, Office documents, images, and 88+ formats. Available for Rust, Python, Rub…
A generic and type-safe Rust library for flow-based programming.
An optimization strategy rooted in biology. AMAF treats the search for the "optimal data distribution" as a resource-gathering exercise, where agents use pheromone-like traces (gradients) to find h…
🦀 Async abstractions for flow-based programming (FBP) in Rust. Build and use reusable, interconnected dataflow components called blocks.
Scenario-driven simulator for async distributed systems: declare topologies, run simulations, measure latency/throughput, resource usage and see where bottlenecks emerge.
🚧 Protoflow implements flow-based programming (FBP) for Rust using Protocol Buffers messages.
RDF.rb is a pure-Ruby library for working with Resource Description Framework (RDF) data.
A tool for matching or aligning of ontologies with transformer language models.
Working memory for Claude Code - persistent context and multi-instance coordination
Gift your LLM with ADHD for a performance boost!
Rust MCP server for comprehensive code intelligence - 90 tools, 32 languages, security scanning, call graphs, and more
[NeurIPS '25] Knowledge Graph Generation from Any Text
End-to-End Model - Finetuned T5 for Text-to-SPARQL Task
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
Data transformation framework for AI. Ultra performant, with incremental processing. 🌟 Star if you like it!
A fast, lightweight and easy-to-use Python library for splitting text into semantically meaningful chunks.