[ICML 2026] Meta Context Engineering via Agentic Skill Evolution

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

Compound Engineering Framework for Alpha Feature Research in Quant Finance

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.

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.

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

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

The open-source TypeScript framework for building AI workflows and agents. Designed for Claude Code describe what you want, Claude builds it, with all the best practices already in place.