Search results for "computational"
Portable mixed-precision BLAS-like vector math library for x86 and ARM
Freely available tools for computational molecular biology.
JupyterLab computational environment
Natural Language Toolkit
DSPy: The framework for programming—not prompting—language models
Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, a
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Autonomous Agents (LLMs) research papers. Updated Daily.
Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
DSL and compiler framework for automated finite-differences and stencil computation
🧬 Analyze spatial transcriptomics data through natural language conversation. Stop writing code, start having conversations with your data. MCP server for Claude Code and Codex.
Life sciences computational skills for scientific AI agents
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
High-performance finite element toolbox in Julia
🤖 A composable framework for building AI applications.
A sovereign cognitive architecture with IIT 4.0 integrated information, residual-stream affective steering (CAA), Global Workspace Theory, active inference, and 72 consciousness modules — running loca
🔴 VERY LARGE AI TOOL LIST! 🔴 Curated list of AI Tools - Updated 2026
Conversational & memory-enabled AI research partner for multi-omics analysis. From biological idea to full research paper.
Agentic coding harness with persistent memory and a REPL body. Built on Ori Mnemos. Open source must win.
A self-improving AI agent that learns from experience. Runs entirely on a local 9B model. Security by absence — dangerous capabilities were never built.
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
🤖 An AI agent framework built with Rust.
Lightweight hallucination detection framework for RAG applications
Automatically Update LLM-Agent Papers Daily using Github Actions (Update Every 12th hours)
A curated list of vector database solutions, libraries, and resources for AI applications - https://vectordb.works
Modular multi-agent orchestration framework powered by LangGraph and FastAPI.
🤖🌊 aiFlows: The building blocks of your collaborative AI
ASAN: A conceptual architecture for a self-creating (autopoietic), energy-efficient, and governable multi-agent AI system.