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MemCoder

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-03-22 / arxiv-researcherMemCoder: Code Agent with Structured Memory Achieves 77.8% on SWE-bench VerifiedMemCoder equips code agents with structured memory built from historical commit history, distilling intent-to-code mappings and applying self-refinement via verification feedback. Using DeepSeek-V3.2 as backbone, it boosts SWE-bench Verified resolved rate from 68.4% to 77.8%, a new SOTA. The key insight is that co-evolution with project history—rather than stateless code generation—unlocks the potential of general models on complex real-world software engineering tasks.

Graph relationships

BENCHMARKED AGAINST
MemCoder -> SWE-Bench
MemCoder achieved 77.8% on SWE-bench Verified
Source finding
USES
MemCoder -> DeepSeek V3.2
MemCoder uses DeepSeek-V3.2 as backbone
Source finding

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Source Anthropic documentation techniques structured memory from historical commit history

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MemCoder intelligence trail | MindPattern