tigicion/dao-code
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. observed · 2026-08-28
Health v2 · maintenance only
76/100
- Activity 95
- Release rhythm 93
- Longevity 6
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 3.5
- age_days: 86
- days_rel: 46
- days_push: 31
- n_releases_24m: 9
Adoption not part of the score
1254 stars · 52 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Dao Code is an open-source terminal-native AI coding agent written in TypeScript, targeting DeepSeek V4 with 1M context and Claude Code-compatible configuration. It engineers byte-stable prefixes and cache-reusing forks so cross-session memory and self-correction add almost no token cost, achieving ~95% prompt-cache hit rates.
Use cases
- run an AI coding agent in the terminal with DeepSeek instead of Claude
- reduce LLM coding agent costs via prompt cache optimization
- get a Claude Code alternative that works in mainland China
- let an AI agent read, edit, and test code with approval gates
- maintain cross-session memory for a coding assistant cheaply
- use MCP tools and skills with a terminal coding agent
When to choose
- you want a low-cost, pay-as-you-go coding agent without Anthropic access or quota limits
- you work in a terminal and want streaming reasoning with an approval gate
- you need 1M-context coding assistance with persistent memory at minimal token cost
- you already use Claude Code config and want a compatible DeepSeek-based agent
When to avoid
- you need a GUI or IDE-integrated coding assistant
- you require top-tier closed-model quality regardless of cost
- you don't want to use DeepSeek models specifically
- the project is young (v0.4.x) and you need battle-tested stability
Facets
cli-tool · maturity active
agent-framework llm-inference cli terminal-ui prompt-engineering mcp chatbot developer-tools artificial-intelligence large-language-models cli cross-platform windows coding-agent deepseek prompt-caching tui claude-code-alternative cost-optimization ink command-line ai-agents nodejs macos linux
2 sources
- readme: https://github.com/tigicion/dao-code · fetched 2026-08-28 · 523fa7fb8732
- registry_npm: https://registry.npmjs.org/dao-code · fetched 2026-08-29 · 00eae06b19cb
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tigicion/dao-code | main | 76 |
For agents
markdown · JSON · MCP: product_card(name="tigicion/dao-code")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem