AIRAS - an open-source project for research automation
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Updated
Jul 31, 2025 - Python
AIRAS - an open-source project for research automation
Web research automation with hierarchical citation trees. A more deterministic alternative to agent-based systems (like OpenAI Deep Research) that builds verifiable reasoning chains, works with smaller LLMs, and prioritizes transparency over black-box agents. Engineered for reliability and cost efficiency.
🛡️ AI Code Quality Control System for Cursor IDE - Prevents low-quality code by enforcing mandatory research protocols before modifications. Optimized for Rust/Bevy stack with universal support via Context7 & web search.
Automation workflow for Google Scholar Alerts e-mails
A FastAPI backend powered by crewAI agents for automated research, data retrieval, and synthesis.
AI Research Integration Platform: A knowledge graph-powered toolkit that streamlines the conversion of academic AI research papers into working implementations, bridging the gap between theory and practice through automated extraction, analysis, and code generation.
PSTU RTC Project Management System
PromptForge – AI Research Assistant with Prompt Chaining
Intelligent research automation system with three specialized AI agents for document discovery, web scraping, and automated report generation
I spend over ten years writing code and applying math and science. in each keystroke I found joy. I see life is a system that has variable entropy (E). Every process (p[i]) generates dE and my job is to understand what dE(p[i]) means.
A Node.js tool for extracting and analyzing author information from PubMed articles. Features include publication filtering, author affiliation tracking, and CSV report generation. Perfect for researchers and bibliometric analysis.
Self-hosted, open-source swarm of AI agents for end-to-end research on arbitrary topics using CrewAI orchestration, LLMLingua prompt compression, and dynamic MCP integration. Features specialized research agents, cost-optimized workflows, and runtime tool discovery for comprehensive automated research systems.
Autonomous AI research assistant using CrewAI - Conducts deep research, generates comprehensive essays, and creates publication-ready content while you sleep. Powered by multiple AI agents working in coordination
High-performance parallel AI research tool in Go - Orchestrates multiple AI models simultaneously for comprehensive research, with real-time progress tracking and intelligent result synthesis
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