mlsanityData to 14 Oct 2026

MEMRES: A Memory-Augmented Resolver with Confidence Cascade for Agentic Python Dependency Resolution

arXiv 2604.16941 ↗First posted 18 Apr 2026cs.SE cs.AIcited by 1

On the map: LLM agents and tool use → Agent memory systems

Abstract (arXiv)

We present MEMRES, an agentic system for Python dependency resolution that introduces a multi-level confidence cascade where the LLM serves as the last resort. Our system combines: (1) a Self-Evolving Memory that accumulates reusable resolution patterns via tips and shortcuts; (2) an Error Pattern Knowledge Base with 200+ curated import-to-package mappings; (3) a Semantic Import Analyzer; and (4) a Python 2 heuristic detector resolving the largest failure category. On HG2.9K using Gemma-2 9B (10 GB VRAM). MEMRES resolves 2503 of 2890 (86.6%, 10-run average) snippets, combining intra-session memory with our confidence cascade for the remainder. This already exceeds PLLM's 54.7% overall success rate by a wide margin.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Agent memory systems, one of 16 directions in LLM agents and tool use. Builds on 8 of its 19 references that are in the map. First posted on arXiv 18 Apr 2026.

Builds on

8 of 19 references.

References · 8

  1. 2023Reflexion: Language Agents with Verbal Reinforcement Learningcited by 4,276
  2. 2024Gemma 2: Improving Open Language Models at a Practical Sizecited by 1,998
  3. 2025Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Taskscited by 131
  4. 2025Repo2Run: Automated Building Executable Environment for Code Repository at Scalecited by 39
  5. 2025DependEval: Benchmarking LLMs for Repository Dependency Understandingcited by 17
  6. 2019DockerizeMe: Automatic Inference of Environment Dependencies for Python Code Snippetscited by 13
  7. 2025The Last Dependency Crusade: Solving Python Dependency Conflicts with LLMscited by 3
  8. 2019V2: Fast Detection of Configuration Drift in Pythoncited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026What Can Component-Replacement Evidence Establish? A Critical Scoping Review of Local Decisions in LLM Agentscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026From Faulty Memories to Corrected Actions: Dependency-Guided Rollback Repair for Memory-Augmented Agents
  2. 2026MemGuard: Persisting Verifier Signals for LLM-Agent Memory Governance
  3. 2026MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair
  4. 2026Coupling Planning with Episodic Memory in LLM Agents for Software Issue Resolution
  5. 2026Memory as Infrastructure: Reliability Engineering for Persistent Agent Memory in Months-Long LLM-Assisted Development
  6. 2026MemTxn: A Transaction Boundary for Source-Supported Updates and Complete-State Recovery in Agent Memory
  7. 2026MemPro: Agentic Memory Systems as Evolvable Programs
  8. 2026MEMOREPAIR: Barrier-First Cascade Repair in Agentic Memory