Alternatives and similar repositories for Avalon-LLM

Users that are interested in Avalon-LLM are comparing it to the libraries listed below

• rxlqn / awesome-llm-self-reflection
  augmented LLM with self reflection
  ☆130Updated last year
• jwhj / OREO
  ☆115Updated 7 months ago
• agentification / RAFA_code
  ☆143Updated last year
• SALT-NLP / DyLAN
  Official Implementation of Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization
  ☆165Updated last year
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆104Updated last month
• Berkeley-NLP / Agent-Eval-Refine
  Code for Paper: Autonomous Evaluation and Refinement of Digital Agents [COLM 2024]
  ☆142Updated 9 months ago
• YifeiZhou02 / ArCHer
  Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"
  ☆188Updated 4 months ago
• Ber666 / RAP
  Reasoning with Language Model is Planning with World Model
  ☆169Updated 2 years ago
• thunlp / Optima
  Code for paper "Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System"
  ☆61Updated 9 months ago
• zjunlp / MachineSoM
  [ACL 2024] Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
  ☆118Updated 2 months ago
• hkust-nlp / AgentBoard
  An Analytical Evaluation Board of Multi-turn LLM Agents [NeurIPS 2024 Oral]
  ☆340Updated last year
• StonyBrookNLP / appworld
  🌍 Repository for "AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agent", ACL'24 Best Resource Pap…
  ☆238Updated 2 weeks ago
• zjunlp / WKM
  [NeurIPS 2024] Agent Planning with World Knowledge Model
  ☆148Updated 8 months ago
• haotiansun14 / AdaPlanner
  AdaPlanner: Language Models for Decision Making via Adaptive Planning from Feedback
  ☆119Updated 4 months ago
• zhangxjohn / LLM-Agent-Benchmark-List
  A banchmark list for evaluation of large language models.
  ☆137Updated last week
• jiangjiechen / auction-arena
  Source code for our paper: "Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction A…
  ☆47Updated last year
• Yifan-Song793 / ETO
  Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
  ☆147Updated 9 months ago
• WooooDyy / LLM-Reverse-Curriculum-RL
  Implementation of the ICML 2024 paper "Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning" pr…
  ☆108Updated last year
• SwiftSage / SwiftSage
  SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
  ☆311Updated 10 months ago
• waterhorse1 / Natural-language-RL
  Natural Language Reinforcement Learning
  ☆95Updated 3 weeks ago
• facebookresearch / sweet_rl
  Benchmark and research code for the paper SWEET-RL Training Multi-Turn LLM Agents onCollaborative Reasoning Tasks
  ☆234Updated 3 months ago
• sotopia-lab / sotopia
  Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)
  ☆239Updated last week
• microsoft / simulated-trial-and-error
  ☆123Updated last year
• salesforce / BOLAA
  ☆183Updated 7 months ago
• diagram-of-thought / diagram-of-thought
  Official implementation of paper "On the Diagram of Thought" (https://arxiv.org/abs/2409.10038)
  ☆185Updated 4 months ago
• siyuyuan / evoagent
  Resources for our paper: "EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms"
  ☆121Updated 10 months ago
• SALT-NLP / collaborative-gym
  Framework and toolkits for building and evaluating collaborative agents that can work together with humans.
  ☆93Updated 4 months ago
• allenai / ScienceWorld
  ScienceWorld is a text-based virtual environment centered around accomplishing tasks from the standardized elementary science curriculum.
  ☆285Updated last month
• zjunlp / WorfBench
  [ICLR 2025] Benchmarking Agentic Workflow Generation
  ☆119Updated 6 months ago
• ezelikman / STaR
  Code for STaR: Bootstrapping Reasoning With Reasoning (NeurIPS 2022)
  ☆209Updated 2 years ago