Daily research brief: AI agent frameworks and LLM advances (2026-09-07)
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Merged sources (6 raw hits across 3 engine(s) -> 6 unique, ranked by cross-engine agreement)
microsoft/agent-framework
https://github.com/Microsoft/agent-framework
microsoft/agent-framework A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET. - Stars: 13052 - Forks: 2214 - Watchers: 13052 - Open issues: 600 ... [1 engine(s): Exa]
OpenAI Agents SDK
https://openai.github.io/openai-agents-python/
OpenAI Agents SDK # OpenAI Agents SDK The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experim... [1 engine(s): Exa]
The Evolution of Large Language Models and AI Agent Frameworks
https://wal.sh/research/llm-agent-frameworks
LLM, Agent, and Flow Control Frameworks ## Large Language Models ### vllm-project/vllm - High-throughput and memory-efficient inference for LLMs - Last updated: 5 minutes ago ### karpathy/nano-llama31 - Compact im... [1 engine(s): Exa]
The best AI agent frameworks in 2026 - LangChain
https://www.langchain.com/resources/ai-agent-frameworks
The best AI agent frameworks in 2026 # The best AI agent frameworks in 2026 We reviewed 7 AI agent frameworks across orchestration, observability, and production readiness. See how LangGraph, CrewAI, Microsoft Agent Fr... [1 engine(s): Exa]
openai/openai-agents-python
https://github.com/openai/openai-agents-python
GitHub - openai/openai-agents-python: A lightweight, powerful framework for multi-agent workflows · GitHub / openai-agents-python Public main 11 Branches 119 Tags Go to Branches page Go to Tags page Go to file Code... [1 engine(s): Exa]
LLM agents: The ultimate guide 2026 - SuperAnnotate
https://www.superannotate.com/blog/llm-agents
LLM agents: The ultimate guide 2026 # LLM agents: The ultimate guide 2026 LLM agents are advanced AI systems that use planning, memory, and tools to solve complex language tasks with context-aware reasoning. January ... [1 engine(s): Exa]
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Researched 1 source set(s) across 1 angle(s).
Confidence: Low