Alternatives and similar repositories for InteractiveMemorySharingLLM

Users that are interested in InteractiveMemorySharingLLM are comparing it to the libraries listed below

• thu-coai / SPaR
  ☆46Updated 7 months ago
• agiresearch / AutoFlow
  ☆84Updated last year
• nuster1128 / MemEngine
  A Comprehensive Library for Memory of LLM-based Agents.
  ☆100Updated 8 months ago
• zjunlp / KnowSelf
  [ACL 2025] Agentic Knowledgeable Self-awareness
  ☆91Updated 7 months ago
• jwliao-ai / MARFT
  ☆76Updated 3 months ago
• THU-KEG / Agentic-Reward-Modeling
  [ACL 2025] Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
  ☆124Updated 7 months ago
• Open-Source-O1 / o1_Reasoning_Patterns_Study
  ☆104Updated last year
• siyuyuan / evoagent
  Resources for our paper: "EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms"
  ☆143Updated last year
• google-deepmind / llms_can_learn_rules
  ☆63Updated last year
• matthewrenze / self-reflection
  Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
  ☆93Updated last year
• yale-nlp / MCTS-RAG
  Data and Code for EMNLP 2025 Findings Paper "MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search"
  ☆86Updated 3 months ago
• satori-reasoning / Satori
  [ICML 2025] Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
  ☆108Updated 8 months ago
• Gen-Verse / ScoreFlow
  ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization
  ☆95Updated 8 months ago
• ulab-uiuc / Router-R1
  [NeurIPS'25] Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
  ☆115Updated last month
• Bui1dMySea / MemLong
  ☆96Updated last year
• ShuoTang123 / MATRIX-Gen
  ☆46Updated last year
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆120Updated last week
• yongchao98 / PROMST
  Automatic prompt optimization framework for multi-step agent tasks.
  ☆36Updated last year
• zjunlp / AutoAct
  [ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
  ☆233Updated last year
• SALT-NLP / DyLAN
  Official Implementation of Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization
  ☆192Updated last year
• WeiminXiong / MPO
  MPO: Boosting LLM Agents with Meta Plan Optimization (EMNLP 2025 Findings)
  ☆71Updated 5 months ago
• camel-ai / agent-trust
  🤝 The code for "Can Large Language Model Agents Simulate Human Trust Behaviors?"
  ☆109Updated 10 months ago
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆112Updated last year
• MurongYue / LLM_MoT_cascade
  This is the implementation for the paper "LARGE LANGUAGE MODEL CASCADES WITH MIX- TURE OF THOUGHT REPRESENTATIONS FOR COST- EFFICIENT REA…
  ☆29Updated last year
• bingreeky / GMemory
  ☆192Updated 3 months ago
• zjunlp / WKM
  [NeurIPS 2024] Agent Planning with World Knowledge Model
  ☆162Updated last year
• McGill-NLP / agent-reward-bench
  AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
  ☆40Updated 6 months ago
• LiqiangJing / DSBench
  [ICLR 2025] DSBench: How Far are Data Science Agents from Becoming Data Science Experts?
  ☆103Updated 5 months ago
• wlzhang2020 / ReasonRAG
  Source code of paper: Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
  ☆45Updated 7 months ago
• RUCAIBox / ChainLM
  ☆31Updated last year