OpenNSWM-Lab/FAROS
Blueprint-driven AutoResearch runtime that orchestrates an LLM research workflow from idea refinement through experiment scaffolding, LaTeX paper drafting and simulated peer review.
Awesome AI Agents › Research Platforms & Simulators
Research Platforms & Simulators
WooooDyy/AgentGym-RL
Framework for training LLM agents on long-horizon, multi-turn decision making with reinforcement learning across a broad set of interactive environments, plus the ScalingInter-RL training method.
Purewhiter/mobilegym
MobileGym is a browser-hosted, fully programmable Android-style simulation platform with 28 simulated apps and 416 task templates for benchmarking and reinforcement-learning training of mobile GUI agents.
SimWorld-AI/SimWorld
SimWorld is an Unreal Engine 5 based open-ended simulator for developing and evaluating LLM and VLM agents in realistic physical and social environments such as procedurally generated cities.
Tencent/AICGSecEval
A.S.E is Tencent's repository-level benchmark that measures the security of AI-generated code, building tasks from real GitHub projects and CVE patches and scoring output with static and dynamic analysis.
facebookresearch/meta-agents-research-environments
Meta's research platform for evaluating AI agents in dynamic simulated environments, hosting the Gaia2 benchmark of 800 evolving scenarios across ten universes, with a CLI, a web GUI and a public leaderboard.
HUST-AI-HYZ/MemoryAgentBench
Benchmark and evaluation harness that measures memory in LLM agents across accurate retrieval, test-time learning, long-range understanding and conflict resolution using incremental multi-turn interactions.
DigiRL-agent/digirl
DigiRL is a research project providing code and resources for training autonomous reinforcement learning agents to control Android devices in real-world environments using novel training algorithms and multiple training modes.
xlang-ai/Spider2-V
Spider2-V is a NeurIPS 2024 research project providing a virtual machine environment and dataset to evaluate multimodal agents' ability to automate data science and engineering workflows using state-of-the-art vision-language models.
ltzheng/Synapse
Synapse is an innovative agent that uses trajectory-as-exemplar prompting with memory to achieve state-of-the-art performance in computer control tasks on MiniWoB++ and Mind2Web benchmarks.