Research & Data

This project implements a simple AI-assisted File Analysis Agent that reads text files, computes word frequency statistics, and produces short extractive summaries.

A set of Mastra AI agent workflows to evaluate conference proposals (CFPs) and speakers

Store and search AI agent conversations to recover lost context and improve memory persistence in multi-agent workflows.

Automate AI research with multi-agent workflows that search literature, run code, and analyze results with FastAPI and LangGraph

Run multi-agent AI research, manage experiments, and execute GPU workflows in one open source lab.

Task and knowledgebase management for agentic workflows using retrieval-augmented generation (RAG)

AI-powered research & professional report generation platform. Multi-Agent workflow automates the entire pipeline from web search, document retrieval, insight extraction to structured report output.

a generalized evaluation framework for quantized LLMs in agentic workflows

A paper analysis RAG system with multi-tool Agent workflow, session memory, and LangGraph-based orchestration.

Fastest agentic search substrate. S3-native ls/glob/read/grep with tree-sitter spans, parallel fan-out, MCP server. Rust.

A demonstration of dynamic tool calling with AI Agent using Ollama. Showcases how LLMs can invoke external Python functions in real time to augment their reasoning with live, actionable data.

Agentic workflow automation for WordPress.

Full-stack AI travel customer support platform using React, FastAPI, PostgreSQL, RAG, tool calling, and agent workflows.

AI Prompt Marketplace (Pay Per Use API) Creator can upload: AI prompts premium, Agent workflows, or etc. and User pay for: Unlock prompt, Subscription pack, or etc. Data will be saved in Shelby

Full-stack hackathon prototype for a Grab-style A-Player Identification Tool. The app turns high-volume candidate vetting into an auditable agent workflow with mock data, local state, vector-memory retrieval, and optional OpenAI reasoning.

Explore a full source snapshot of Claude Code for TypeScript analysis, file mapping, and MCP-based code research

A production-style ChatGPT-like enterprise assistant using Azure, Databricks, and OpenAI for grounded document Q&A, agent workflows, memory, and MLflow-based evaluation.

Out-of-the-box enterprise context brain for AI agents — Graph RAG, WebGL 3D console, one-click Docker deploy

Analyze Claude Code source leaks, map the architecture, and document its TypeScript, Bun, agent, and security systems.

Go/Golang multi-agent LLM framework — ReAct loops, parallel tools, streaming, sub-agent

8-phase literature-review pipeline. 7 federated sources, dedup, ranked retrieval, citation chasing, self-critique, 5 report archetypes.

Straightforward LLM dependency orchestration for multi-agent workflows. Compose chat, code, and data into declarative pipelines in YAML. Export AI workflows as a single binary, ISO, Docker or Kubernetes pods. Use ollama, llmfile, or any cloud AI providers.

Manage project.md files using a single CLI tool to track tasks and coordinate work between humans and AI agents without databases or external services.

GoodMemory 是一个面向 AI 应用的**可插拔用户记忆层**。 它不替代： - LLM - agent framework - 向量数据库 - RAG 系统 它专注解决一个更具体的问题： > **如何让任何 chatbox / copilot / agent / workflow assistant 在不重训模型的前提下，真正“记住用户”。** GoodMemory 的核心不是“存更多”，而是： - 记什么 - 何时更新 - 如何检索 - 如何压缩 - 为什么引用 - 如何删除 - 如何控制跨 agent / 跨项目 / 跨租户边界 它的本质是一个： > **Personal Context Engine / Memory Layer for AI Apps**