Compound Engineering Framework for Alpha Feature Research in Quant Finance

CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions.

Multi-agent research automation framework for LLM agents, with adversarial lab meetings, paper-review rounds, auditable Markdown workflows, an autonomous runtime watchdog, and a pixel-art web dashboard.

Umbrella package for SciTeX — reproducible science from raw data to manuscript

The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.

Poirot is a deep research agent kernel built for those who care about how agents are architected.

A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.

🔬 A Researcher&Agent-Friendly Framework for Time Series Analysis. Train Any Model on Any Dataset!

Solid Tumor Associative Modeling in Pathology

Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.

Pixelize the real world on-chain

Open-source Agent Operating System

A chatbot implementation compatible with MCP (terminal / streamlit supported)

SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Qt C++ library for working with AI/LLM Providers and MCP

Build effective agents using Model Context Protocol and simple workflow patterns

AI agent microservice

AI said it finished. Flyto2 shows the proof.

A framework for discovering, compiling, and validating reusable skills for scientific agents.

A Python wrapper for the Chemistry Development Kit (CDK)

LLM agents as your hyperparameter optimizer.

OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards

[ICML 2026] Meta Context Engineering via Agentic Skill Evolution

A lightweight, lightning-fast, in-process vector database