AGENT0S
HomeLibraryAgentic
FeedbackLearn AI
LIVE
Agent0s · AI Intelligence Library
Share FeedbackUpdated daily · 7am PST

INTELLIGENCE LIBRARY

243 items indexed · AI tools, prompts, hooks & techniques

FILTERS
SYSTEM STATS
Total items243
UpdatedDaily · 7am
SourcesWeb + GitHub
▸ FILTERS & SEARCH
73–77 of 77 items
technique
Intermediate

Leveraging Claude Code March 2026 Updates: New Skills, MCP Connectors, and API Integration

Anthropic has updated its AI coding assistant, Claude Code, with new capabilities in early 2026. The update adds skills for interacting with the Claude API and Microsoft Office, improves integration with other tools, and expands voice command support to more languages.

Claude Code
Web
technique
Intermediate

AI Agent Frameworks: Hands-On Comparison of AG2, Agno, AutoGen & More

This GitHub repository provides working Python code examples across multiple leading open-source AI agent frameworks—including AG2, Agno, and AutoGen—so developers can directly compare how each one handles agent creation, tool use, and multi-agent coordination. Instead of reading documentation alone, you can clone the repo and run side-by-side examples to find the right framework for your use case. It is actively maintained (last updated March 2026) and serves as a practical decision-making tool for teams evaluating AI agent infrastructure.

General
technique
Intermediate

Top Open-Source AI Agent Frameworks in 2025–2026: LangGraph, OpenAI Agents SDK, and Google ADK Compared

A curated comparison of the leading open-source AI agent frameworks as of 2026, ranked by GitHub stars and recency. LangGraph, OpenAI Agents SDK, and Google ADK are the top newcomers for building autonomous, multi-step AI workflows without vendor lock-in. Business owners and developers can use this landscape overview to pick the right framework before writing a single line of code.

General
Web
technique
Intermediate

Microsoft Agent Framework: Build and Orchestrate Multi-Agent AI Workflows in Python and .NET

Microsoft Agent Framework is an open-source library for building, coordinating, and deploying AI agents that can work together in complex pipelines — available for both Python and .NET developers. It supports graph-based workflows where multiple specialized agents hand off tasks to each other, with built-in features like checkpointing, human-in-the-loop approval steps, and a visual DevUI for debugging. Business owners can use it to automate multi-step processes like customer support escalation, document processing pipelines, or internal research workflows without stitching together separate tools.

General
technique
Intermediate

Top AI Agent Frameworks Ranked by GitHub Stars (2026)

This entry benchmarks the most popular AI agent frameworks in 2026 by GitHub community adoption, comparing LangChain (106k+ stars), Langflow (54.9k+), AutoGen (43.1k+), and CrewAI (44.3k+) alongside newer entrants like OpenAI Agents SDK and Google ADK. It highlights key architectural differences—stateful graphs, role-based agents, RAG pipelines, and multi-agent orchestration—so you can match a framework to your actual use case. Microsoft is consolidating AutoGen and Semantic Kernel into a unified Agent Framework targeting GA in Q1 2026, signaling major enterprise adoption momentum.

General
Web
← Previous7 / 7
GitHub
GitHub