Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Open-source TypeScript terminal coding agent for DeepSeek-V4 — builds on DeepSeek's strong price-performance and ultra-cheap cache pricing, engineering byte-stable prefixes and cache-reusing forks so cross-session memory and a continuous self-correction layer add almost no token cost; 1M context, Skills/MCP/Hooks, Claude Code config compatible.
| Date | Stars |
|---|---|
| 2026-07-31 | 1263 |
| 2026-08-06 | 1267 |
Today
+4 stars today
This week
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growth rate 0.00%/day
# Dao Code 道 **English** · [中文](./README.zh-CN.md) [](https://github.com/tigicion/dao-code/actions/workflows/ci.yml) [](./LICENSE) [](./.nvmrc) [](./CONTRIBUTING.md) > **A terminal coding agent built around cost, experience, and availability** — squeezing the most capability and the lowest cost out of the high-value DeepSeek V4.  Dao Code (command `dao`) is a terminal-native AI coding assistant: it reads code, writes code, runs commands, and fixes bugs right in your terminal — streaming its reasoning and tool calls while executing safely behind an approval gate, until the task is done. It targets **DeepSeek V4** (1M context), is Chinese-first, and is inspired by Claude Code — but takes a different road: **rather than buying experience with an expensive model, it builds on DeepSeek's strong price-performance and ultra-cheap cache pricing, engineering byte-stable prefixes and cache-reusing forks so cross-session memory and a continuous self-correction layer add almost no token cost.** --- ## Why Dao Code? ### 🌐 Availability A coding agent is only useful if you can actually run it. - **Claude Code** needs an Anthropic account and network access — a high bar to use out of the box in mainland China; - **GLM's Coding Plan** has scarce quota that's often hard to grab; - **Dao Code is fully open source (MIT)**, and its base **DeepSeek is register-and-go, pay-as-you-go, directly reachable in mainland China** — no network gymnastics, no quota grabbing, no waitlist. ### 💰 Cost - **Low unit price** — DeepSeek sits at the lowest price tier among mainstream capable models; both input and output prices are far below the top-tier closed models. - **Cache cuts it further** — DeepSeek's prefix-cache *hit* price is ≈ **1/120** of a miss (~two orders of magnitude). Dao Code keeps the system prefix / tool table / memory **byte-stable**, and runs reflection & memory on cache-reusing forks, so the hit rate keeps climbing. - **Measured on real OSS bug-fixes (not toy demos)** — 7 SWE-bench-style tasks (valibot / date-fns / es-toolkit / sqlglot / hono), **3.89M input tokens** total, **95.8% aggregate cache hit** (85.4%–97.7% per task). At DeepSeek V4 Pro current pricing, a full feature (read + edit + test + self-review) runs **¥0.07–0.21, avg ¥0.15**; all 7 total **¥1.07**. Every figure traces back to `evals/runs/<task>/run-1/agent.log`; replay any time with `/cost`. - **Cost vs Claude Code** — pricing the **same token trace** of these 7 tasks under each vendor's official rates (and crediting Dao Code's high hit rate to Claude too, in its favor), total cost is still **~30× cheaper than Claude Opus 4.8, ~18× cheaper than Sonnet 4.6**. | Task (real OSS repo) | Input tok | Hit % | DeepSeek Pro | vs Opus | vs Sonnet | |---|---:|---:|---:|---:|---:| | t7-sqlglot-sqlite-autoinc | 1,218,385 | 97.7% | ¥0.213 | 37× | 22× | | t6-sqlglot-comment-on | 625,772 | 96.3% | ¥0.144 | 32× | 19× | | t9-hono-compress | 699,479 | 96.0% | ¥0.209 | 31× | 18× | | t8-hono-cookie-dup | 502,866 | 94.9% | ¥0.136 | 28× | 17× | | t4-estoolkit-omitby | 445,475 | 94.4% | ¥0.159 | 28× | 17× | | L1-nodeps-toolkit | 289,989 | 93.2% | ¥0.140 | 27× | 16× | | t5-estoolkit-uniqwith | 104,071 | 85.4% | ¥0.068 | 21× | 12× | | **Total** | **3,886,037** | **95.8%** | **¥1.07** | **30×** | **18×** | <sub>Prices as of 2026-06 official rates: DeepSeek V4 Pro hit/miss/output = $0.003625 / $0.435 / $0.87 per 1M; Claude Opus 4.8 = $5 / $25 (hits at 0.1× cache-read), Sonnet 4.6 = $3 / $15. Multiples are USD-on-USD, exchange-rate-independent; ¥ converted at ¥7.1/$. Cross-check: re-pricing L1 at current rates gives ¥0.140 ≈ the ¥0.136 the in-log
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:f179de2b5ccbf842, topic:llm
matched fp:f179de2b5ccbf842, topic:ai-agent