This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.

[ICML 2026] Meta Context Engineering via Agentic Skill Evolution

OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards

An enterprise AI development framework for building AI agents. It provides unified management of multi-provider LLMs, secure enterprise knowledge bases with high-precision retrieval, visual workflow orchestration and multi-agent coordination. Compatible with mainstream Agent Skill standards, it enables developers to efficiently build production-gra

Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation

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

Open-World Self-Evolution for LLM Agents — agents that build both their skills and their own verification signals from scratch, with no target-task supervision. (Code coming soon.)

SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Compound Engineering Framework for Alpha Feature Research in Quant Finance

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

LLM agents as your hyperparameter optimizer.

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

Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.

Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.

OpenBrowser is a framework for intelligent browser automation. It combines direct CDP communication with a CodeAgent architecture, where the LLM writes Python code executed in a persistent namespace, to navigate, interact with, and extract information from web pages autonomously.

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.