| 20260414_gems_agent_native_multimodal_generation_memory_skills | paper_analysis | agent_architecture, multimodal, memory_mechanism, long_term_memory, llm | shanghai_ai_lab, sjtu | 100 | | | GEMS: Agent-Native Multimodal Generation with Memory and Skills | | [object Object] | [object Object] | md | |
| 20260419_memskill_learning_evolving_memory_skills | paper_analysis | self_evolving_agents, memory_mechanism, agent_architecture, llm, long_term_memory | nanyang_technological_university, tsinghua_university, university_of_illinois_urbana_champaign | 100 | | | MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents | GEMS: Agent-Native Multimodal Generation with Memory and Skills | [object Object] | [object Object] | md | |
| 20260422_memory_os_of_ai_agent | paper_analysis | agent_architecture, memory_mechanism, long_term_memory, context_engineering | locomo_bench, bai_lab | 100 | | | Memory OS of AI Agent | HippoRAG: Neurobiologically Inspired Long-Term Memory, M3-Agent: Multimodal Agent with Long-Term Memory | [object Object] | [object Object] | md | |
| 20260422_multimodal_agent_long_term_memory | paper_analysis | agent_architecture, multimodal, memory_mechanism, long_term_memory, video_understanding | m3_bench, bytedance_seed, dapo | 100 | | | Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory | HippoRAG: Neurobiologically Inspired Long-Term Memory | [object Object] | [object Object] | md | |
| 20260423_agentevolver_self_evolving_agent | paper_analysis | agent_architecture, reinforce_learning, llm, reasoning | tongyi_lab, appworld, bfcl_v3 | 100 | | | AgentEvolver: Towards Efficient Self-Evolving Agent System | | [object Object] | [object Object] | md | |
| 20260423_attentive_reasoning_queries | paper_analysis | llm, agent_architecture, reasoning, cognitive_science, context_engineering | emcie_co | 100 | | | Attentive Reasoning Queries: Optimizing Instruction-Following in LLMs | ai_reasoning_deep_learning_symbolic_neural | [object Object] | [object Object] | md | |
| 20260423_meta_harness_end_to_end_optimization | paper_analysis | context_engineering, agent_architecture, llm, reasoning, rag | stanford_iris_lab, terminalbench_2, krafton | 100 | | | Meta-Harness: End-to-End Optimization of Model Harnesses | | [object Object] | [object Object] | md | |
| 20260424_context_engineering_2_overview | paper_analysis | context_engineering, llm, agent_architecture, reasoning | sjtu_gair_lab, tongyi_lab | 100 | | | context_engineering_2_overview | | [object Object] | [object Object] | md | |
| 20260425_reca_integrated_acceleration_cooperative_embodied_agents | paper_analysis | llm, agent_architecture, memory_mechanism, embodied_ai, multi_hop_reasoning | georgia_tech, harvard_university | 100 | | | ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents | | [object Object] | [object Object] | md | |
| 20260427_agentsquare_automatic_llm_agent_search | paper_analysis | agent_architecture, llm, reasoning, memory_mechanism, reinforce_learning | tsinghua_fib_lab, neural_architecture_search | 100 | | | AgentSquare: Automatic LLM Agent Search in Modular Design Space | | [object Object] | [object Object] | md | |
| 20260427_detecting_hallucinations_semantic_entropy | paper_analysis | llm, reasoning, agent_architecture, memory_mechanism, reinforce_learning | oatml_oxford, neural_architecture_search | 100 | | | Detecting hallucinations in large language models using semantic entropy | | [object Object] | [object Object] | md | |
| 20260429_agent_workflow_memory | paper_analysis | agent_architecture, memory_mechanism, llm, gui_agent, long_term_memory, cognitive_science | cmu, mit, mind2web, webarena | 100 | | | Agent Workflow Memory | disentangling_memory_reasoning_llm | [object Object] | [object Object] | md | |
| 20260503_aflow_automating_agentic_workflow_generation | paper_analysis | agent_architecture, llm, reasoning, workflow_optimization | deepwisdom, monte_carlo_tree_search, claw | 100 | | | AFLOW: Automating Agentic Workflow Generation | | [object Object] | [object Object] | md | |
| 20260504_reasoningbank_scaling_agent_self_evolving_reasoning_memory | paper_analysis | self_evolving_agents, reasoning_memory, test_time_scaling, agent_architecture, memory_mechanism | google_cloud_ai_research, webarena, mind2web, swebench_verified | 100 | | | ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory | Self-Evolving Agents: A Survey | [object Object] | [object Object] | md | |
| 20260504_self_evolving_agents_survey_asi | paper_analysis | self_evolving_agents, artificial_super_intelligence, survey, agent_architecture, memory_mechanism | princeton_university, tsinghua_university, sjtu, google_cloud_ai_research | 100 | | | A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence | ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory | [object Object] | [object Object] | md | |
| 20260506_openclaw_rl_train_any_agent_simply_by_talking | paper_analysis | reinforce_learning, agent_architecture, llm, self_evolving_agents, reasoning | gen_verse | 100 | | | OpenClaw-RL: Train Any Agent Simply by Talking | | [object Object] | [object Object] | md | |
| 20260507_scaling_large_language_model_multi_agent_collaboration | paper_analysis | llm, agent_architecture, workflow_optimization, distributed_systems | tsinghua_university, peng_cheng_laboratory | 100 | | | Scaling Large Language Model-based Multi-Agent Collaboration | | [object Object] | [object Object] | md | |
| 20260508_memgpt_towards_llms_as_operating_systems | paper_analysis | llm, memory_mechanism, agent_architecture, long_term_memory, context_engineering | uc_berkeley, memgpt | 100 | | | MemGPT: Towards LLMs as Operating Systems | | [object Object] | [object Object] | md | |
| 20260509_skillos_learning_skill_curation_self_evolving_agents | paper_analysis | agent_architecture, memory_mechanism, reinforce_learning, self_evolving_agents, skill_curation | google_cloud_ai_research, grpo, skillos, alfworld | 100 | | | SkillOS: Learning Skill Curation for Self-Evolving Agents | self_evolving_agents_survey_asi, memory_os_of_ai_agent, agentevolver_self_evolving_agent, reasoningbank_scaling_agent_self_evolving_reasoning_memory | [object Object] | [object Object] | md | |
| 20260512_gasim_graph_accelerated_hybrid_social_simulation | paper_analysis | agent_architecture, memory_mechanism, knowledge_graph, llm, multi_agent_systems | uestc, graph_attention_network, mem0 | 100 | | | GASim: A Graph-Accelerated Hybrid Framework for Social Simulation | memgpt_towards_llms_as_operating_systems | [object Object] | [object Object] | md | |
| 20260512_meme_multi_entity_evolving_memory_evaluation | paper_analysis | memory_mechanism, long_term_memory, agent_architecture, llm, reasoning, evaluation | kaist_ai, tuebingen_ai_center, naver_ai_lab | 100 | | | MEME: Multi-entity & Evolving Memory Evaluation | memory_os_of_ai_agent, memgpt_towards_llms_as_operating_systems, disentangling_memory_reasoning_llm | [object Object] | [object Object] | md | |
| 20260515_apwa_parallelizable_agentic_workflows | paper_analysis | multi_agent_systems, agent_architecture, distributed_systems, workflow_optimization, reasoning, llm | northeastern_university, apwa, ray, pii_300k, schemabench, summarybench | 95 | | | APWA: A Distributed Architecture for Parallelizable Agentic Workflows | scaling_large_language_model_multi_agent_collaboration, gasim_graph_accelerated_hybrid_social_simulation | [object Object] | [object Object] | md | |
| 20260515_harnessing_agentic_evolution | paper_analysis | agent_architecture, self_evolving_agents, reasoning, memory_mechanism, reinforce_learning, workflow_optimization | deepwisdom, hkust_gz, sjtu, tsinghua_university, nanyang_technological_university | 100 | | | harnessing_agentic_evolution | self_evolving_agents_survey_asi, skillos_learning_skill_curation_self_evolving_agents, aflow_automating_agentic_workflow_generation | [object Object] | [object Object] | md | |
| 20260518_memlineage_lineage_guided_llm_agent_memory | paper_analysis | memory_mechanism, agent_architecture, llm, agent_security, lineage_tracking | iie_cas | 100 | | | MemLineage: Lineage-Guided Enforcement for LLM Agent Memory | | [object Object] | [object Object] | md | |
| 20260520_skillgenbench_benchmarking_skill_generation_llm_agents | paper_analysis | agent_architecture, evaluation, skill_curation, llm, reasoning | quanta_alpha, sjtu, pku, nus, xjtu, tsinghua_university, sufe, ntu, ucas | 100 | | | SkillGenBench: Benchmarking Skill Generation Pipelines for LLM Agents | ontology_skill_analysis | [object Object] | [object Object] | md | |
| 20260521_methodology_selecting_composing_runtime_architecture_patterns_production_llm_agents | paper_analysis | agent_architecture, distributed_systems, multi_agent_systems, llm, reasoning | stanford_iris_lab, claw | 100 | | | A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents | agent_memory_and_reasoning_frontier_survey_2026, memgpt_towards_llms_as_operating_systems, memlineage_lineage_guided_llm_agent_memory | [object Object] | [object Object] | md | |
| 20260522_calmem_dual_memory_conversational_ai | paper_analysis | memory_mechanism, long_term_memory, agent_architecture, rag, context_engineering | infosys_limited, memgpt | 100 | | | Application-Layer Dual Memory for Conversational AI: Achieving Virtually Unbounded Context Without Model Modification | memgpt_towards_llms_as_operating_systems, memlineage_lineage_guided_llm_agent_memory | [object Object] | [object Object] | md | |
| 20260523_moss_self_evolution_source_level_rewriting | paper_analysis | self_evolving_agents, agent_architecture, llm, multi_agent_systems | claw, hkust_gz | 100 | | | MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems | methodology_selecting_composing_runtime_architecture_patterns_production_llm_agents, skillos_learning_skill_curation_self_evolving_agents, agent_memory_and_reasoning_frontier_survey_2026 | [object Object] | [object Object] | md | |
| 20260526_skillopt_executive_strategy_self_evolving_agent_skills | paper_analysis | self_evolving_agents, skill_curation, agent_architecture, reasoning, workflow_optimization | microsoft_research_asia, sjtu | 100 | | | SkillOpt: Executive Strategy for Self-Evolving Agent Skills | skillos, moss, harnessing_agentic_evolution, self_evolving_agents_survey | [object Object] | [object Object] | md | |
| 20260527_scaling_harness_agentic_ai | paper_analysis | agent_architecture, memory_mechanism, reasoning, self_evolving_agents, multi_agent_systems | uc_berkeley, cheetahclaws | 100 | | | From Model Scaling to System Scaling: Scaling the Harness in Agentic AI | MemLineage, MemGPT, SkillOS, CalMem | [object Object] | [object Object] | md | |
| 20260528_muse_autoskill_self_evolving_skill_memory | paper_analysis | agent_architecture, memory_mechanism, self_evolving_agents, skill_curation, continual_learning | bytedance_seed, skillsbench, muse_autoskill | 100 | | | MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation | skillos_learning_skill_curation_self_evolving_agents, skillopt_executive_strategy_self_evolving_agent_skills, agent_memory_and_reasoning_frontier_survey_2026 | [object Object] | [object Object] | md | |
| 20260529_agent_lifespan_engineering_for_deployed_systems | paper_analysis | memory_mechanism, long_term_memory, agent_architecture, evaluation, self_evolving_agents | ut_austin | 100 | | | Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems | Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems | [object Object] | [object Object] | md | |
| 20260529_stop_comparing_llm_agents_without_disclosing_harness | paper_analysis | agent_architecture, evaluation, llm, multi_agent_systems, reasoning | tulane_university, rutgers_university, virginia_tech | 100 | | | Stop Comparing LLM Agents Without Disclosing the Harness | Stop Comparing LLM Agents Without Disclosing the Harness | [object Object] | [object Object] | md | |
| 20260601_locally_coherent_globally_incoherent_multi_component_llm_agents | paper_analysis | multi_agent_systems, reasoning, agent_architecture, evaluation | princeton_university, paleka | 100 | | | Locally Coherent, Globally Incoherent: Bounding Compositional Incoherence in Multi-Component LLM Agents | scaling_large_language_model_multi_agent_collaboration, gasim_graph_accelerated_hybrid_social_simulation, harnessing_agentic_evolution, scaling_harness_agentic_ai | [object Object] | [object Object] | md | |
| 20260602_lintree_explicitly_structured_search_histories | paper_analysis|paper_analysis | reasoning, llm, agent_architecture, memory_mechanism | nus, oatml_oxford | 100 | | | LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories | chain_of_thought_prompting_elicits_reasoning | [object Object] | [object Object] | md | |
| 20260603_agentcl_continual_learning_language_agents | paper_analysis | continual_learning, memory_mechanism, agent_architecture, evaluation, self_evolving_agents | agentcl, ohio_state_university | 100 | | | AGENTCL: Toward Rigorous Evaluation of Continual Learning in Language Agents | learning_fast_slow_llms_adapt_continually, meme_multi_entity_evolving_memory_evaluation, muse_autoskill_self_evolving_skill_memory | [object Object] | [object Object] | md | |
| 20260604_agent_memory_characterization_system_implications | paper_analysis | memory_mechanism, agent_architecture, long_term_memory, llm, evaluation | stanford_university, ku_leuven, memory_agent_bench, memgpt, graphrag | 95 | | | Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads | memgpt_towards_llms_as_operating_systems, memlineage_lineage_guided_llm_agent_memory, calmem_dual_memory_conversational_ai, unlocking_working_memory_latent_reasoning, aip_graph_representation_for_learning_and_governing_agent_skills | [object Object] | [object Object] | md | |
| 20260605_aip_graph_representation_for_learning_and_governing_agent_skills | paper_analysis | agent_architecture, skill_curation, self_evolving_agents, reasoning, workflow_optimization | skillsbench, agent_instruction_protocol | 95 | | | AIP: A Graph Representation for Learning and Governing Agent Skills | skillos_learning_skill_curation_self_evolving_agents, muse_autoskill_self_evolving_skill_memory, aflow_automating_agentic_workflow_generation, apwa_parallelizable_agentic_workflows | [object Object] | [object Object] | md | |
| 20260608_handoff_humanoid_agentic_whole_body_control | paper_analysis | embodied_ai, robotics, agent_architecture, multimodal, sim_to_real | caltech, ihmc, unitree, mixture_of_experts, kl_distillation | 100 | | | HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers | Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads, Navigating to objects in the real world | [object Object] | [object Object] | md | |
| 20260610_searchswarm_delegation_intelligence_agentic_llm_long_horizon_research | paper_analysis | agent_architecture, multi_agent_systems, reasoning, workflow_optimization, reasoning_memory | tsinghua_university, pku, ant_group, browsecomp, searchswarm | 100 | | | SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research | lintree_explicitly_structured_search_histories, aip_graph_representation_for_learning_and_governing_agent_skills, aflow_automating_agentic_workflow_generation, apwa_parallelizable_agentic_workflows, scaling_large_language_model_multi_agent_collaboration | [object Object] | [object Object] | md | |
| 20260611_trace_unified_rollout_budget_allocation_agentic_rl | paper_analysis | reinforce_learning, reasoning, agent_architecture, test_time_scaling, llm | tsinghua_university, hotpotqa, bfcl_v3, monte_carlo_tree_search | 100 | | | TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning | rl_long_horizon_reasoning_llm_expressiveness, agent_memory_and_reasoning_frontier_survey_2026 | [object Object] | [object Object] | md | |
| 20260618_fixed_point_reasoners_stable_adaptive_deep_looped_transformers | paper_analysis | reasoning, llm, recurrent_neural_networks, memory_mechanism, agent_architecture | tuebingen_ai_center, eth_zurich, liquidai, max_planck_institute | 100 | | | Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers | | [object Object] | [object Object] | md | |
| 20260624_evoarena_tracking_memory_evolution | paper_analysis | memory_mechanism, agent_architecture, llm, evaluation, embodied_ai | nus, ntu, terminalbench_2 | 100 | | | EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments | Self-Harness: Harnesses That Improve Themselves | [object Object] | [object Object] | md | |
| 20260624_self_harness | paper_analysis | agent_architecture, self_evolving_agents, llm, reasoning, test_time_scaling | shanghai_ai_lab, terminalbench_2 | 100 | | | Self-Harness: Harnesses That Improve Themselves | | [object Object] | [object Object] | md | |
| 20260624_world_models_in_pieces_structural_certification | paper_analysis | reinforce_learning, reasoning, agent_architecture, evaluation, foundation_agents | cuhk_shenzhen | 100 | | | World Models in Pieces: Structural Certification for General Agents | rl_long_horizon_reasoning_llm_expressiveness, agent_memory_characterization_system_implications | [object Object] | [object Object] | md | |
| 20260626_progress_advantage_llm_agents | paper_analysis | reinforce_learning, reward_modeling, test_time_scaling, agent_architecture, llm, reasoning | university_of_wisconsin_madison, argonne_national_laboratory | 100 | | | Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents | rl_long_horizon_reasoning_llm_expressiveness, vector_policy_optimization_vpo, trace_unified_rollout_budget_allocation_agentic_rl | [object Object] | [object Object] | md | |
| 20260627_joint_learning_experiential_rules_policies_llm_agents | paper_analysis | memory_mechanism, reinforce_learning, self_evolving_agents, reasoning, agent_architecture | alfworld, grpo, sun_yat_sen_university | 100 | | | Joint Learning of Experiential Rules and Policies for Large Language Model Agents | unlocking_working_memory_latent_reasoning, memory_os_of_ai_agent, memskill_learning_evolving_memory_skills | [object Object] | [object Object] | md | |
| 20260628_omniact_omnimodal_embodied_agents | paper_analysis | embodied_ai, agent_architecture, long_term_memory, multimodal, robotics, reasoning | fudan_university, memgpt | 100 | | | Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy | memgpt_towards_llms_as_operating_systems, memory_os_of_ai_agent, reca_integrated_acceleration_cooperative_embodied_agents | [object Object] | [object Object] | md | |
| 20260629_memory_r1_enhancing_llm_agents_manage_utilize_memories_rl | paper_analysis | agent_architecture, memory_mechanism, reinforce_learning, llm, long_term_memory | lmu_munich, mem0, locomo_bench, grpo | 100 | | | Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning | memgpt_towards_llms_as_operating_systems, muse_autoskill_self_evolving_skill_memory, gems_agent_native_multimodal_generation_memory_skills, amr_sd_token_level_credit_assignment, agent_memory_characterization_system_implications | [object Object] | [object Object] | md | |
| 20260630_from_tokens_to_states_llms_world_models | paper_analysis | llm, reasoning, world_model, memory_mechanism, agent_architecture | jepa, othello_gpt | 100 | | | From Tokens to States: LLMs as a Special Case of World Models and the Continuous Path Beyond | memory_os_of_ai_agent, rl_long_horizon_reasoning_llm_expressiveness | [object Object] | [object Object] | md | |
| 20260701_severa_verified_synthesis_self_evolving_agents | paper_analysis | agent_architecture, self_evolving_agents, reinforce_learning, reasoning, agent_security | university_of_illinois_urbana_champaign, grpo, tau_squared_bench | 100 | | | SEVerA: Verified Synthesis of Self-Evolving Agents | skillos_learning_skill_curation_self_evolving_agents, muse_autoskill_self_evolving_skill_memory, trace_unified_rollout_budget_agentic_rl, amr_sd_token_level_credit_assignment, agent_memory_characterization_system_implications | [object Object] | [object Object] | md | |
| 20260702_memory_in_the_age_of_ai_agents_a_survey | paper_analysis | memory_mechanism, agent_architecture, survey, llm, long_term_memory | nus, fudan_university, pku, renmin_university_of_china | 100 | | | Memory in the Age of AI Agents: A Survey — Forms, Functions and Dynamics | | [object Object] | [object Object] | md | |
| 20260705_llm_agents_social_structure_latent_objective_emergence | paper_analysis | multi_agent_systems, social_simulation, agent_architecture, reasoning, llm, evaluation | cmu, dual_channel_debate, llm_agora | 100 | | | What LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent Debates | self_harness, contagion_networks_evaluator_bias_multi_agent_llm | [object Object] | [object Object] | md | |
| 20260707_evopolicygym_evaluating_autonomous_policy_evolution | paper_analysis | embodied_ai, reinforce_learning, self_evolving_agents, evaluation, agent_architecture | cuhk_shenzhen, sjtu, tsinghua_university, ustc | 100 | | | EvoPolicyGym: Evaluating Autonomous Policy Evolution in Interactive Environments | demopsd_disagreement_modulated_policy_self_distillation, llm_agents_social_structure_latent_objective_emergence, recontext_recursive_evidence_replay, evolvenav_proactive_preflection_self_evolving_memory | [object Object] | [object Object] | md | |
| 20260708_adacurl_adaptive_curriculum_rl | paper_analysis | reinforce_learning, llm, reasoning, agent_architecture, evaluation | amap | 100 | | | AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting | | [object Object] | [object Object] | md | |
| 20260708_solving_million_step_llm_zero_errors | paper_analysis | multi_agent_systems, reasoning, agent_architecture, llm, test_time_scaling | cognizant_ai_lab, ut_austin | 100 | | | Solving a Million-Step LLM Task with Zero Errors | | [object Object] | [object Object] | md | |
| 20260710_let_the_agent_search_tkgqa | paper_analysis | knowledge_graph, multi_hop_reasoning, llm, agent_architecture, reasoning | at2qa, multi_tq, timeline_cronquestion, timeline_icews_actor | 100 | | | Let the Agent Search: Autonomous Exploration Beats Rigid Workflows in Temporal Question Answering | | [object Object] | [object Object] | md | |
| 20260713_metacognition_in_llms_foundations_progress_opportunities | paper_analysis, domain_survey | llm, reasoning, cognitive_science, memory_mechanism, agent_architecture | yale_university, uc_irvine | 100 | | | Metacognition in LLMs: Foundations, Progress, and Opportunities | chain_of_thought_prompting_elicits_reasoning, ai_reasoning_deep_learning_symbolic_neural, memory_os_of_ai_agent | [object Object] | [object Object] | md | |
| 20260713_shared_selective_persistent_memory_agentic_llm | paper_analysis | agent_architecture, memory_mechanism, long_term_memory, multi_agent_systems, context_engineering | apple_inc, graygoo | 100 | | | Shared Selective Persistent Memory for Agentic LLM Systems | memgpt_towards_llms_as_operating_systems, agent_memory_characterization_system_implications, memory_in_the_age_of_ai_agents_a_survey | [object Object] | [object Object] | md | |
| 20260717_experience_memory_graph_one_shot_error_correction_for_agents | paper_analysis | memory_mechanism, agent_architecture, reasoning, long_term_memory, knowledge_graph | alfworld, scienceworld, uestc | 100 | | | Experience Memory Graph: One-Shot Error Correction for Agents | memlineage_lineage_guided_llm_agent_memory, shared_selective_persistent_memory_agentic_llm, agent_memory_and_reasoning_frontier_survey_2026 | [object Object] | [object Object] | md | |
| 20260722_supra_cognitive_modes_routed_agent_memory | paper_analysis | agent_architecture, memory_mechanism, long_term_memory, reasoning, multi_hop_reasoning | supra_research, locomo_bench, memory_agent_bench, long_mem_eval | 100 | | | Supra Cognitive Modes: A Routed Architecture for Agent Memory | memory_os_of_ai_agent, memgpt_towards_llms_as_operating_systems, shared_selective_persistent_memory_agentic_llm | [object Object] | [object Object] | md | |
| 20260724_pro_long_programmatic_memory_long_horizon_reasoning | paper_analysis | memory_mechanism, agent_architecture, reasoning, long_term_memory, coding_agents, continual_learning | duke_university, arc_agi, chain_of_thought | 100 | | | PRO-LONG: Programmatic Memory Enables Long-Horizon Reasoning | | [object Object] | [object Object] | md | |
| 20260725_evolving_commitments_self_adaptive_sts | paper_analysis | multi_agent_systems, agent_architecture, software_engineering, self_evolving_agents, reasoning | fudan_university, the_open_university, university_of_trento | 100 | | | Evolving Commitments for Self-Adaptive Socio-Technical Systems | | [object Object] | [object Object] | md | |
| 20260725_monitoring_diagnosing_software_requirements | paper_analysis | software_engineering, reasoning, symbolic_reasoning, knowledge_graph, agent_architecture | university_of_toronto, the_open_university | 100 | | | Monitoring and Diagnosing Software Requirements | | [object Object] | [object Object] | md | |
| 20260726_agentic_context_management_memory_cost_lifecycle_architecture | paper_analysis | agent_architecture, memory_mechanism, context_engineering, reasoning, long_term_memory | maximem, long_mem_eval, locomo_bench | 100 | | | Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems | memory_os_of_ai_agent, agent_memory_and_reasoning_frontier_survey_2026, memory_in_the_age_of_ai_agents_a_survey, memgpt_towards_llms_as_operating_systems, context_engineering_2_overview | [object Object] | [object Object] | md | |
| 20260731_memrl_self_evolving_agents_runtime_rl_episodic_memory | paper_analysis | memory_mechanism, reinforce_learning, agent_architecture, llm, reasoning, long_term_memory | sjtu, xidian_university, nus, shanghai_innovation_institute, memtensor | 100 | | | MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory | | [object Object] | [object Object] | md | |