[ICML 2026] Meta Context Engineering via Agentic Skill Evolution

Java test automation framework for web, mobile, API, CLI, database, and desktop E2E testing with a fluent API and built-in reporting.

Rails Engine with MCP compliant Spec.

⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

Compound Engineering Framework for Alpha Feature Research in Quant Finance

Claude Code's compaction engine, as a drop-in DeepAgents middleware

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

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.

AI said it finished. Flyto2 shows the proof.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

PyWry is a cross-platform app factory, rendering engine and UI toolkit for Python that produces native desktop, web, and notebook experiences from a single API.

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.

deep, reliable and confidential coding-context

GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

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

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

Universal memory runtime for AI agents

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

Smithers is an agentic workflow framework for defining workflows in simple TypeScript configuration files and executing them quickly, durably, and reliably

Deterministic safety solutions for probabilistic AI agents

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