| 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 | |
| 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_chain_of_thought_prompting_elicits_reasoning | paper_analysis | llm, reasoning, cognitive_science, context_engineering, multi_hop_reasoning | google_brain, chain_of_thought, gsm8k | 100 | | | Chain-of-Thought Prompting Elicits Reasoning in Large Language Models | | [object Object] | [object Object] | md | |
| 20260430_catastrophic_forgetting_implicit_inference | paper_analysis | catastrophic_forgetting, llm, memory_mechanism, reasoning, context_engineering | cmu, conjugate_prompting | 100 | | | Understanding Catastrophic Forgetting in Language Models via Implicit Inference | | [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 | |
| 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 | |
| 20260528_unlocking_working_memory_latent_reasoning | paper_analysis | memory_mechanism, reasoning, llm, reasoning_memory, context_engineering | lit_ai_lab, nxai_gmbh, gsm8k | 100 | | | Unlocking the Working Memory of Large Language Models for Latent Reasoning | chain_of_thought_prompting_elicits_reasoning, memgpt_towards_llms_as_operating_systems, agent_memory_and_reasoning_frontier_survey_2026 | [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 | |
| 20260723_copy_less_ground_more_evidence_aware_rl | paper_analysis | reasoning, reinforce_learning, reward_modeling, context_engineering, llm | pku, alibaba_group, gear, gspo, ruler_benchmark | 100 | | | Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning | 20260703_self_evolving_world_models_llm_agent_planning, 20260719_searchos_v1_open_domain_information_seeking_agent_collaboration | [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 | |