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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 f5d0535 Own gold set (private corpus), recorded 25 June 2026, 01:18:22 UTC.

  • dirty tree · not cited
  • determinism ok
  • private corpus · not reproducible
Benchmark metrics
Metric Value Definition
Recall@5 0.9911 Mean over questions of |evidence ∩ top-k| / |evidence|.
nDCG@5 0.9477 With binary relevance.
MRR 0.9446 Mean of 1/rank of the first evidence session.
Precision@5 0.2214 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 bm25
Gold path benchmarks/recall-gold.json
Tests ran 128
Tests failed 0
Environment Hardware, OS and Python version: not recorded for this run.
Ledger row 30
Raw row 
{"ablation": null, "checks": {"determinism_ok": true, "index_validate_ok": true, "test_pass_rate": 1.0, "tests_failed": 0, "tests_ran": 128}, "commit": "f5d0535", "committed": "2026-06-24T23:47:13Z", "dirty": true, "gold_path": "benchmarks/recall-gold.json", "metrics": {"context_tokens_mean": 3860.339285714286, "latency_ms_mean": 3.538395839703818, "latency_ms_p50": 3.531791502609849, "mrr": 0.9446428571428571, "ndcg_at_k": 0.9476731953369202, "precision_at_k": 0.22142857142857145, "recall_at_k": 0.9910714285714286}, "mode": "eval", "num_queries": 56, "reliability": 99.64, "run": "2026-06-25T01:18:22Z", "schema": "agentware-bench/v1", "strategy": "bm25", "subject": "feat(agents): retrieval methods attached to both agents allso removed reviewer agent", "top_k": 5}
reliability is an internal composite health score (0–100), not a benchmark metric.
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