roampal-core
Outcome-Based Persistent Memory MCP Server
Two commands. Your AI coding assistant gets outcome-based memory.
Works with Claude Code and OpenCode.
Benchmarks
85.8% on the corrected LoCoMo benchmark (non-adversarial, end-to-end answer accuracy) — validated on 1,986 questions across 10 conversations with dual grading. All figures in this section are sourced from the paper and roampal-labs (see citations at the bottom of this section).
| Result | Score |
|---|---|
| Conversational learning vs raw ingestion | +23 points (76.6% vs 53.0%, p<0.0001) |
| Architecture vs model effect | Architecture ~10x larger contributor |
| Poison resilience (1,135 adversarial memories) | -2.6 to -4.2 points only |
| TagCascade retrieval (tags-first + CE rerank) | +1.9 Hit@1 vs pure CE (p<0.0001) |
Benchmark pipeline runs on a single GPU with no cloud dependencies. Roampal itself runs on CPU — no GPU required. Full methodology, data, and evaluation scripts: roampal-labs
Paper: "Beyond Ingestion: What Conversational Memory Learning Reveals on a Corrected LoCoMo Benchmark" (Logan Teague, April 2026)
