Datasets:

YuriBedran
/

rubi-benchmark

repo stringclasses 2 values	braco stringclasses 3 values	rep int64 1 3	pergunta int64 1 3	custo_usd float64 0.09 0.23	turnos int64 2 14	tempo_s int64 14 50	input int64 4 18	cache_escrita int64 17.6k 30.1k	cache_leitura int64 61.2k 384k	output int64 599 3.77k	tokens_equiv int64 44.5k 113k	erro float64	nos_no_grafo_ao_fim float64 0 6 ⌀
flask	A	1	1	0.155403	6	38	10	25,482	193,826	1,469	77,702	null	null
flask	A	1	2	0.102107	3	21	6	18,359	109,293	680	51,053	null	null
flask	A	1	3	0.125553	6	25	10	18,281	191,945	1,402	62,777	null	null
flask	C	1	1	0.155147	4	34	8	28,348	155,095	1,072	77,574	null	0
flask	C	1	2	0.133778	7	28	8	21,450	158,310	1,630	66,889	null	0
flask	C	1	3	0.17082	6	40	12	24,200	253,031	2,339	85,410	null	0
flask	D	1	1	0.147261	5	30	6	28,138	110,585	1,258	73,631	null	5
flask	D	1	2	0.136566	7	27	8	22,056	157,479	1,683	68,283	null	5
flask	D	1	3	0.127758	3	29	6	21,806	111,260	1,827	63,879	null	5
flask	A	2	1	0.154328	6	32	8	26,841	143,692	1,821	77,164	null	null
flask	A	2	2	0.114132	4	22	8	18,526	152,712	947	57,066	null	null
flask	A	2	3	0.192522	9	50	14	24,030	293,620	3,765	96,261	null	null
flask	C	2	1	0.124797	3	21	4	26,316	61,876	715	62,399	null	0
flask	C	2	2	0.09683	2	18	4	19,464	62,882	639	48,415	null	0
flask	C	2	3	0.138927	3	24	4	27,546	62,876	1,616	69,464	null	0
flask	D	2	1	0.130865	3	24	4	27,184	63,206	948	65,433	null	5
flask	D	2	2	0.11187	3	19	6	20,522	111,652	744	55,935	null	5
flask	D	2	3	0.110347	3	18	4	21,637	64,203	1,095	55,173	null	5
flask	A	3	1	0.225032	14	50	18	30,089	383,650	2,791	112,516	null	null
flask	A	3	2	0.088967	2	14	4	17,606	61,173	630	44,483	null	null
flask	A	3	3	0.173786	7	44	10	25,815	200,731	3,036	86,893	null	null
flask	C	3	1	0.153596	5	32	8	27,635	155,398	1,196	76,798	null	0
flask	C	3	2	0.175807	9	34	14	23,332	297,055	2,304	87,904	null	0
flask	C	3	3	0.117379	3	22	6	20,575	112,337	1,260	58,690	null	0
flask	D	3	1	0.144676	5	27	6	27,662	110,580	1,190	72,338	null	5
flask	D	3	2	0.112425	3	17	6	20,496	114,645	750	56,213	null	5
flask	D	3	3	0.127632	3	31	6	22,307	111,209	1,615	63,816	null	5
hono	A	1	1	0.142154	7	26	8	25,270	144,241	1,221	71,077	null	null
hono	A	1	2	0.108331	5	19	6	19,276	104,526	1,031	54,166	null	null
hono	A	1	3	0.111203	5	21	6	19,698	104,596	1,148	55,602	null	null
hono	C	1	1	0.133282	4	22	6	25,959	107,368	796	66,641	null	0
hono	C	1	2	0.112974	4	17	6	20,810	108,811	796	56,487	null	0
hono	C	1	3	0.114943	5	20	6	20,924	108,626	951	57,472	null	0
hono	D	1	1	0.141051	4	24	6	27,652	110,806	827	70,526	null	6
hono	D	1	2	0.107553	3	15	4	21,664	68,994	709	53,776	null	6
hono	D	1	3	0.106424	2	20	4	20,987	64,638	954	53,212	null	6
hono	A	2	1	0.126322	5	25	6	24,421	99,078	881	63,161	null	null
hono	A	2	2	0.111342	4	20	8	18,545	147,479	765	55,671	null	null
hono	A	2	3	0.119887	6	19	8	19,460	153,056	1,142	59,944	null	null
hono	C	2	1	0.135013	4	26	6	26,512	107,614	743	67,506	null	0
hono	C	2	2	0.113002	4	19	6	20,701	113,080	757	56,501	null	0
hono	C	2	3	0.113111	4	19	6	20,498	112,985	851	56,556	null	0
hono	D	2	1	0.127678	3	21	4	27,085	63,649	660	63,839	null	6
hono	D	2	2	0.120848	4	20	6	22,179	112,201	968	60,424	null	6
hono	D	2	3	0.109522	3	20	4	21,054	64,638	1,237	54,761	null	6
hono	A	3	1	0.12753	5	20	6	24,438	103,480	907	63,765	null	null
hono	A	3	2	0.08975	3	17	4	17,555	65,562	641	44,875	null	null
hono	A	3	3	0.111777	5	20	6	19,614	104,844	1,234	55,888	null	null
hono	C	3	1	0.132154	4	18	6	26,144	107,882	599	66,077	null	0
hono	C	3	2	0.13153	6	25	8	21,976	159,698	1,167	65,765	null	0
hono	C	3	3	0.100732	3	19	4	19,569	67,641	892	50,366	null	0
hono	D	3	1	0.141081	4	20	6	27,702	110,856	809	70,541	null	6
hono	D	3	2	0.120969	3	19	6	22,490	116,334	773	60,484	null	6
hono	D	3	3	0.106727	3	17	4	21,366	69,026	745	53,364	null	6

Rubi A/B benchmark

Does a project memory make Claude Code cheaper? This dataset holds every run of the benchmark behind Rubi: 90 Claude Code sessions on two public repositories (Flask and Hono), three chained questions each, every question in a fresh session.

Arms

Arm	What runs
A	Claude Code, no plugin
B	Rubi with harvest after every answer that explored ≥4 files (cost of writing memory)
C	Rubi with map + automatic recall, empty graph (cost of reading)
D	Same as C, starting with a 5–6 node graph written by Claude (mature project)

Model claude-sonnet-5, read-only tools, 3 repetitions per arm, fresh clone per repetition.

Headline results

	A	C	D
Turns (3 sessions)	34.0	26.7 (−21%)	21.3 (−37%)
Cache reads	919k	771k (−16%)	579k (−37%)
Wall-clock time	161 s	146 s	133 s (−17%)
Billed cost	$0.793	$0.785 (−1%)	$0.744 (−6%)

Writing memory after every answer (arm B) cost +15% in these short sessions. The full discussion, including why cold one-question sessions hide most of the reading savings, is in the README.

Files

rodada-1-escrita.csv: arms A vs B, one row per session (cost, turns, tokens by type, time, graph nodes at the end)
rodada-2-leitura.csv: arms A vs C vs D
*.md: per-round summaries
respostas/: every answer Claude gave, per arm, repetition and question
sementes/: the seed graph used by arm D
tarefas.json: the questions

Reproduce: node bench/rodar.mjs --reps 3 --bracos A,C,D in the Rubi repository.

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Collection including YuriBedran/rubi-benchmark

Rubi: memory for AI coding agents

Collection

Knowledge graph and context manager for Claude Code, Codex, Gemini CLI, Cursor and local models. Interactive calculator plus the 90-session benchmark. • 2 items • Updated about 22 hours ago