Repository History
350 repositories tagged with Python
AutoResearch: AI/ML Research Agents from Idea to Paper-Ready Evidence
AutoResearch is an open-source agent workflow designed for AI and machine learning research. It automates the entire research process, from generating ideas and planning experiments to execution, analysis, and independent evaluation. This project helps researchers produce paper-ready evidence efficiently and with traceable provenance.
HarnessRouter: Unified Interface for AI Agent Harnesses
HarnessRouter Community Edition provides a self-hosted, Apache-2.0 licensed unified interface for various AI agent harnesses like Codex, Claude Code, and Hermes. It allows users to run multiple agents through a single API, offering features such as sessions, streaming, file handling, and cancellation. The project implements the open-standard Unified Harness Protocol (UHP), ensuring users maintain control over their keys and infrastructure.
AREX-Skill: A Skill Library for Automated Machine Learning and Auto-Research
AREX-Skill is a powerful skill library designed to advance automated machine learning and auto-research. It distills over 5,000 executable skills from more than 1,000 popular GitHub repositories, making complex ML knowledge directly usable by coding agents. This project significantly enhances agent performance in various research tasks by providing structured, validated operating knowledge.
oh-my-hermes: Enhance Hermes Agent with Advanced AI Workflow and Memory
oh-my-hermes is an all-in-one plugin designed to significantly enhance the Hermes Agent. It provides advanced coding intelligence, a robust long-term memory system, and optimized workflow packages, transforming standard Hermes requests into structured, actionable tasks with clear operational layers.
ASC: A Super Fast Android Decompiler for Mobile Reverse Engineering
ASC is an innovative and exceptionally fast Android decompiler front-end, specifically designed for mobile researchers and agents. It redefines traditional decompilation by directly querying compiled artifacts, offering on-demand code extraction and analysis without heavy preprocessing. This approach results in significantly reduced memory usage and lightning-fast performance, even on large APKs.
Open Index: A Deterministic Memory Layer for Your AI Agents
Open Index is a powerful tool for building domain-specific, accurate, and structured data that AI agents can effectively operate on. It enables the creation of a "brain," a searchable and continuously improving context graph tailored to any domain. This system ensures agents have access to reliable, up-to-date information, enhancing their capabilities and decision-making processes.
tooltrim: Drastically Reduce LLM Agent Tool Output Tokens, Improve Accuracy
tooltrim provides drop-in compression for LLM agent tool outputs, drastically cutting tokens while often improving answer accuracy. This provider-agnostic solution offers content-aware compression, faithfulness benchmarks, and seamless integration with popular frameworks or as an OpenAI-compatible proxy.
AgentShield: Python Firewall for AI Agent Spend Control
AgentShield is a pure Python library designed to prevent runaway AI agents from exceeding budget limits. It offers 10 composable spend rules, evaluated in under 1ms, providing robust cost control. Although its core development has transitioned to sipi.bot, the AgentShield Python package remains available for existing users and its test fixtures are open-source.
DA-Forge: Streamlining Declarative Agent Creation for Copilot Notebooks
DA-Forge is a Python-based tool by Microsoft designed to automate the creation and deployment of Declarative Agents for Copilot Notebooks. It significantly reduces the manual effort and time required to set up AI assistants with specific grounding references, transforming an 85-minute process into just a few minutes. This tool is essential for developers and researchers working with Copilot Notebooks and Declarative Agents.
Curie: Automated and Rigorous Scientific Experimentation with AI Agents
Curie is an innovative AI-agent framework designed for automating rigorous scientific experimentation. It streamlines the entire research lifecycle, from hypothesis formulation to result interpretation, ensuring precision, reliability, and reproducibility. This empowers scientists to accelerate their research processes significantly.
Tau: A Minimalist Python Coding Agent for Your Terminal
Tau is a Python port of Pi's minimalist coding agent, designed to live in your terminal. It allows users to make requests like "explain this repo" or "add tests," and it can read files, edit code, and run commands. Beyond its utility, Tau also serves as a teaching project, demonstrating how coding agents are built with a small, readable codebase.
Awesome Harness Engineering: Building Reliable AI Agent Systems
Awesome Harness Engineering is a comprehensive curated list dedicated to the discipline of designing robust AI agent harnesses. It offers a wealth of resources, patterns, and templates essential for building reliable AI agent systems. Developers can explore tools, best practices, and foundational concepts across various critical areas of agent development.