Show HN: Remoroo. trying to fix memory in long-running coding agents

Autonomous engineering for deep tech teams Remoroo runs autonomous research on your code locally, overnight. It edits, tests, evaluates, keeps or reverts. You wake up to better results. $ pip install remoroo Read the docs → ▸ remoroo-session · autoresearch/mar31 ❯ ▸ Reading program.md… ✓ ▸ Baseline: val_bpb = 2.2396 (commit 9138841) ▸ Time budget: 20 min per experiment ▸ 30 experiments · 8 kept · 22 discarded ▸ val_bpb: 2.2396 → 1.5484 (31% lower) ▸ Verdict: VERIFIED · REPRODUCIBLE The reality of manual ML research Without Remoroo $ vim train.py

tweak learning_rate=3e-4 $ uv run train.py wait 60 minutes… val_bpb: 2.24 (no change) try batch_size 2^15… wait 60 more minutes… NaN loss. $ git checkout . 2 hours. 0 progress. no verdict. no structure. no proof. With Remoroo $ remoroo run --local program.md ▸ 30 experiments completed ▸ 8 kept · 22 discarded ▸ val_bpb: 2.24 → 1.55 ▸ VERIFIED · REPRODUCIBLE You slept through it. How it works Write a spec (e.g. program.md). Point Remoroo at it, and it runs experiments overnight. ▸ remoroo-session · autoresearch ❯ Spec program.md (TIME_BUDGET=1200, metric: val_bpb) File train.py (model, optimizer, training loop) Eval prepare.py → evaluate_bpb (fixed, untouchable) P Plan E Edit T Train E Evaluate val_bpb — vs baseline — train.py

• ATTN_PATTERN = "L" * DEPTH

• ATTN_PATTERN = "SSSL" Illustrative billing · credits = Haiku-hour units (× model tier — see Pricing ) Verified results LR SCHEDULE SEARCH val_bpb 2.24 → 1.99 11% lower train.py 14 experiments · 6 kept VERIFIED ARCHITECTURE SEARCH val_bpb 1.55 → 1.55 banded attn (SSSL) train.py 30 experiments · 8 kept VERIFIED MULTI-OBJECTIVE val_bpb + memory 3 constraints → all passed all passed train.py 22 experiments · 5 kept VERIFIED Explore all benchmarks → Not a coding agent. An autonomous research engine. Coding Agents Remoroo Time scale Seconds Hours to overnight Task scope Fix one bug 30-experiment search Execution None / one-shot Sandboxed, time-budgeted Metric evaluation None Fixed eval harness Keep / discard Human decides Autonomous, metric-based Failure handling Retry prompt Case-based recovery Output Suggested code Verified patch + proof Reproducibility None Artifact replay + git Billing Per token/seat Run wall time in credits (Haiku-hour units) It didn't guess. It proved. Install in 30 seconds. Free tier includes monthly run credits — see Pricing . $ pip install remoroo Install CLI Read the docs →