Agents and harnesses
Design and operate systems that combine model decisions with tools.
- Agent Design Patterns (510)
- Harnesses And Frameworks (4)
- Tool Use And Mcp (36)
- Coding Agents (2)
- Computer And Browser Use (1)
- Multi Agent Systems (2)
555 resources · page 18 of 18
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
Research on how the agent-computer interface influences software-engineering performance.
ReAct: Synergizing Reasoning and Acting in Language Models
Research on combining reasoning with environment actions, a useful reference for agent-loop design.
Barry Sookman: Moffatt v Air Canada
Creator not supplied; see original source.
Barry Sookman's analysis of Moffatt v. Air Canada, the case holding a company liable for its chatbot's false statements.
Berkeley Advanced LLM Agents (SP25)
Creator not supplied; see original source.
Berkeley CS294/194-280 Advanced Large Language Model Agents (Spring 2025): lectures on reasoning, coding agents and agent safety.
Brynjolfsson, Li, Raymond: Generative AI at Work (NBER w31161)
Creator not supplied; see original source.
NBER working paper w31161 Generative AI at Work, measuring productivity effects of an AI assistant on customer support agents.
EASA AI Concept Paper Issue 2
Creator not supplied; see original source.
EASA AI Concept Paper Issue 2: guidance on assuring Level 1 and 2 machine-learning applications in aviation.
GEO: Generative Engine Optimization
Creator not supplied; see original source.
arXiv HTML version of the GEO paper (2023) defining generative engine optimization and its visibility metrics.
Model Context Protocol Specification 2025-06-18
Creator not supplied; see original source.
MCP specification version 2025-06-18, covering authorisation, elicitation and structured tool output.
OpenTelemetry generative AI semantic conventions
Creator not supplied; see original source.
OpenTelemetry page on generative AI semantic conventions for LLM and agent telemetry, now moved to a dedicated repository.
SpikingJelly
Creator not supplied; see original source.
SpikingJelly documentation (in Chinese): PyTorch framework for deep learning with spiking neural networks.
Tülu 3
Creator not supplied; see original source.
arXiv paper (2024) describing Tülu 3, a fully open post-training recipe that introduced RLVR.