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Section: Related resources · Curated AI agent papers from 2026 — agent engineering, memory, evaluation, workflows, and autonomous systems.
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Curated collection of 363+ arXiv papers from 2026 organized into five harness-relevant categories: Multi-Agent (51), Memory & RAG (56), Eval & Observability (79), Agent Tooling (95), AI Agent Security (82). Weekly updates make it the best single source for tracking research that will shape harness…
Section: Related resources · Curated AI agent papers from 2026 — agent engineering, memory, evaluation, workflows, and autonomous systems.
Section: Adjacent Collections · Curated collection of 363+ arXiv papers from 2026 organized into five harness-relevant categories: Multi-Agent (51), Memory & RAG (56), Eval & Observability (79), Agent Tooling (95), AI Agent Security (82). Weekly updates make it the best single source for tracking research that will shape harness…
Section: Tools & Libraries · Curated 2025–2026 papers on agent engineering, memory, eval, and workflows
Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs
Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider…
(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.
June 2026 harness-first redesign built around the Capability primitive: a single composable unit bundling instructions, tools, lifecycle hooks, and model settings. The split between a small stable core and a fast-moving pydantic-ai-harness lets capabilities graduate as they prove essential, while…
Ollama is a tool for running large language models locally, offering easy setup for macOS, Windows, Linux, and Docker, along with a library of models and quickstart guides for customization and integration github | github profile
Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of…
Language Model Evaluation Harness is a framework to test generative language models on a large number of different evaluation tasks.