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git clone https://github.com/r5rana/agentware.git
cd agentware
git checkout 3c25cdd
claude "hi"
git clone https://github.com/r5rana/agentware.git
cd agentware
git checkout 3c25cdd
codex "hi"

This installs agentware, the open-source engine behind memfor. No tagged release yet. These commands pin commit 3c25cdd.

Apache-2.0. No memfor account. Needs macOS or Linux (Windows via WSL), git, Python 3, bash, jq, and Claude Code or Codex.

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Run cf93c14 Own gold set (private corpus), recorded 26 June 2026, 21:08:41 UTC.

  • dirty tree · not cited
  • determinism ok
  • private corpus · not reproducible
Benchmark metrics
Metric Value Definition
Recall@5 0.5625 Mean over questions of |evidence ∩ top-k| / |evidence|.
nDCG@5 0.4854 With binary relevance.
MRR 0.4951 Mean of 1/rank of the first evidence session.
Precision@5 0.1214 Mean over questions of |evidence ∩ top-k| / k. It can't reach 1 when a question has fewer than k evidence sessions, so it is shown on receipts only.
Conditions
Queries 56
k 5
Strategy tag
Gold path benchmarks/recall-gold.json
Tests ran 657
Tests failed 0
Environment Hardware, OS and Python version: not recorded for this run.
Ledger row 127
Raw row 
{"ablation": null, "checks": {"determinism_ok": true, "index_validate_ok": true, "test_pass_rate": 1.0, "tests_failed": 0, "tests_ran": 657}, "commit": "cf93c14", "committed": "2026-06-26T20:54:08Z", "corpus_fingerprint": "09e894ffb135170291eb2677d6bff6093d88a2ef725a3e62fa297a6f8d6f39d8", "corpus_size": 185, "dirty": true, "gold_path": "benchmarks/recall-gold.json", "metrics": {"context_tokens_mean": 1499.517857142857, "latency_ms_mean": 0.01732814293323567, "latency_ms_p50": 0.01616649933566805, "mrr": 0.49508928571428573, "ndcg_at_k": 0.48536946353375254, "precision_at_k": 0.12142857142857144, "recall_at_k": 0.5625}, "mode": "eval", "num_queries": 56, "reliability": 82.5, "run": "2026-06-26T21:08:41Z", "schema": "agentware-bench/v1", "strategy": "tag", "subject": "Merge feat/260625-kb-dependency-graph", "suite": null, "top_k": 5}
reliability is an internal composite health score (0–100), not a benchmark metric.
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