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VoltAgent/awesome-ai-agent-papers

Appears in 3 awesome lists

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…

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Awesome Autoresearch

Section: Related resources · Curated AI agent papers from 2026 — agent engineering, memory, evaluation, workflows, and autonomous systems.

FreshScore 86

Awesome Harness Engineering

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…

FreshScore 88

Awesome Prompts

Section: Tools & Libraries · Curated 2025–2026 papers on agent engineering, memory, eval, and workflows

FreshScore 90

LangChain

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

In 20 listsDetails

LiteLLM

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…

In 16 listsDetails

LlamaIndex

(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.

In 14 listsDetails

PydanticAI

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…

In 12 listsDetails

Ollama

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

In 12 listsDetails

Semantic Kernel

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…

In 11 listsDetails

LM Evaluation Harness

Language Model Evaluation Harness is a framework to test generative language models on a large number of different evaluation tasks.

In 7 listsDetails

Outlines

Constrains token sampling via regex/CFG/JSON Schema at the decoding layer, guaranteeing structured output without model fine-tuning. The right solution when you need OpenAI Structured Outputs-equivalent reliability from a locally deployed or open-weight model.

In 6 listsDetails