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[EMNLP 2025] Awesome RAG Reasoning Resources

Official Code for OpenVLHarness: Real-World Visual Agentic Tool‑Use with Multimodal Memory

Any research. One Claw. 🦞 From any materials to research with fully autonomous & skill-driven researcher.

[ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?

Agentic RAG R1 Framework via Reinforcement Learning

Harness self-evolution: update targets, theory, evaluation, and reported evidence. Bilingual reading list and project website.

🦀️ CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. https://crab.camel-ai.org/

Agentic RAG R1 Framework via Reinforcement Learning

Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

The first AI agent harness native to the browser. A browser extension that runs a full agent loop where you already work: it drives your tabs, spins up sandboxed compute (JS notebooks, WASM Linux VMs, client-side apps), and shares what it builds peer-to-peer. BYOK, no backend, no telemetry.

Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.

PDF editor in the browser – add text, checkboxes, pictures, signatures to PDF files. Merge, rotate PDF pages – iframe, script and React component

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

An agent that compiles git maintenance chores into reusable programs, then decides whether to replay them by running checks rather than by guessing the task looks familiar

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

One task, one agent, delivered. The open-source platform for task-driven autonomous AI agents.OpenCow assigns an autonomous AI agent to every task — features, campaigns, reports, audits — and delivers them in parallel. Full context. Full control. Every department. 🐄

A curated, searchable collection of research on AI and foundation models across the game lifecycle.

Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.

Benchmark for automated failure attributions in agentic systems (🏆 ICML 2025 Spotlight)

A research framework for principled agent self-improvement under frozen evaluators and declared mutation boundaries, recording verifiable lineage to make it reproducible and auditable.