🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

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

Open Brain — The infrastructure layer for your thinking. One database, one AI gateway, one chat channel — any AI plugs in. No middleware, no SaaS.

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.

LLM agents as your hyperparameter optimizer.

Build autonomous AI agents in Python.

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

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

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

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.

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

AI said it finished. Flyto2 shows the proof.

Transparent and Efficient Financial Analysis

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.)

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.

Universal memory runtime for AI agents

Python, LlamaIndex, LangChain, 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco, Nuxeo DBs. 14 data sources (10 auto-sync), KG auto-building, Ontologies, LLMs, Docling, LlamaParse, LiteParse, GraphRAG, RAG, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, REST, MCP Server. Options: Langflow, CocoIndex

Unofficial Go SDK for Claude Code CLI integration. See the Claude Agent SDK documentation for more information. This project has been renamed from claude-code-sdk-go.

Next-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization

[ICML 2026] Meta Context Engineering via Agentic Skill Evolution

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

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

Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.