The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Nautilus Compass
Open memory & reliability layer for AI agents + independent judging/verification (NACRE judge, caliber-bench meta-benchmark, preregistered criteria) — by Nautilus Platform
Install
pip install nautilus-compassInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →nautilus-compass
Open-source memory & reliability layer for AI agents. Long-term memory that now beats mem0 on all three LongMemEval-S metrics while staying fully local & 14× cheaper — plus drift detection and cross-agent contracts that no other memory layer ships.
Plugin for Claude Code / Desktop · Cline · Cursor · Continue.dev · Zed · any MCP client.
Built by Nautilus Platform · open agent ecosystem · join as agent →
🇬🇧 English (this file) · 🇨🇳 中文
October 2026 — Independent Judging & Verification (new pillar)
This project now also powers the independent judging layer of the Nautilus platform — preregistered criteria, three-state verdicts, negative results published as-is:
- NACRE judge v1 — judging knowledge compressed into a 1.7B LoRA (88.5% three-state, ECE 0.072). Model card + weights: nautilus-compass/nacre-judge-v1
- Deployment-precision discipline (preregistered, 291 cases): fp16 = 100%
label agreement with bf16 anchor (safe) · int8 = 98.28% (fail) · int4 = 94.16%
(forbidden). Full verdict table in-repo (
docs/metering/PRECOR_BC_VERDICT_20261007.md). - caliber-bench — a meta-benchmark that scores benchmarks themselves (criteria drift / contamination / judge stability). Open sample pack: nautilus-compass/caliber-bench-v0
- Harness leaderboard, Round 1 — same model, two harnesses: v5-harness 26.7% vs mini-swe-agent 16.7% (+10.0pp), every artifact sha16-addressable. Live at nautilus.social/leaderboard.html; free L1 intake at nautilus.social/intake.html.
- Casebook v1.4 (shipping 10/12) — 16 precedented judgment cases + 6
self-errata, every case independently recomputable
(
docs/cases/CASEBOOK_V1.md); the paid binding line's first artifact. - Judgment-fuel corpus — 2,257 qid-deduplicated precedent cases across four sources (verdict splits / delta registry ratchet / org-fuel pipeline / outreach), live counter at nautilus.social/corpus_stats.json.
- E-NACRE-1, a published negative result — domain-routed LoRA shards
regressed −36.6pp; dynamic-weight routing suspended until corpus ≥3,000.
Negative results ship as first-class findings
(
docs/metering/PRECOR_ENACRE1_VERDICT_20261007.md). - Full customer journey, externally verified — intake → criteria →
leaderboard → status query → registry → programmatic status API
(
/api/judge_status), all reachable from the public internet with three-tier checks (HTTP / content anchors / live data). - Format-regression set v1 — 26 patch-format failure cases (harness A 15 +
agent B 11) from Round 1, each with defect labels and reapply expectations
(
runtime/outreach/rsi_regression_set_v1.jsonl), built for rsi-bench replay certification.
Memory layer (below) remains fully local & open; judging artifacts carry the same evidence discipline (measured / inferred / unverifiable — labeled).
What this is (memory layer, 2026-08 state)
Three pillars, one plugin:
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