待翻譯：Show HN: Memcode launches a new terminal coding agent

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memcode · terminal ↺ ready main · sonnet · auto · aurora · mirror · extra mile ● session → memcode · v0.9.3 · main · git 3✎ +120/-8 · ↑12.3k ↓4.1k · ctx 68% · sonnet · auto Memcode · agentic coding with memory Your repo has a history. Your agent should know it. Memcode remembers your codebase the way a senior engineer does, then puts a coding agent on top of that memory, right in your terminal. Install in one line. Prefer to inspect first? Read the install script Why Memcode Not another chat wrapper. A persistent memory system that makes the agent actually useful, because it knows what came before. Knows your repo, not just your files Memcode builds a living picture of your codebase: how it fits together, what was decided, and why. Every session starts already oriented instead of re-reading everything. Never starts from zero Other agents burn the first ten minutes rediscovering your codebase and still miss the why. Memcode picks up exactly where it left off, without spending your tokens to re-learn. Lives in your terminal A fast TUI in a single static binary. No Electron, no browser tab, no IDE plugin. It starts instantly and stays out of your way. Memory that compounds Context and decisions persist across sessions. The agent gets sharper the longer it works in your repo, because it remembers what it learned last time. The first session is the last cold start. Every session after starts ahead. Every other agent starts from scratch each session, re-reading files and re-asking questions you already answered. Memcode remembers, and it compounds. 01 Work like you always do Commit, edit, ship. No annotations and no special workflow. Memcode watches your repo and keeps up on its own. 02 It remembers what matters Not just the code, but the decisions, the dead ends, and the reasons. The context you would otherwise re-explain every session. 03 Every session starts ahead Open the terminal and the agent already knows where things stand. No warm-up, no re-reading, no "let me look around first." Chat, wired to your knowledge Every frontier model in one place, with your DataHub docs on tap. Ask a question, get an answer grounded in your team's documents, and share the thread. m Memcode New chat Agents Assistants DataHub Websites Recent Refactor auth middleware Debug race condition in worker Review PR #142 streaming fix Plan migration to new schema [email protected] New chat· 2 docs in context payments-overview.md What is our refund policy for EU customers on annual plans? Here is what your docs say. The policy - Annual plans get a full refund inside the first 30 days, no questions asked - After 30 days, refunds are prorated to the unused months - EU customers are always refunded through the original payment provider Worth knowing - The 30-day window is a legal requirement in the EU, not just policy - Prorated refunds need a support ticket today; self-serve is on the roadmap Source - payments-overview.md, refunds section, updated in April 2 docs Agents that work while you don't Describe the job in plain language and get a custom agent: research, reports, monitoring, follow-ups. Run it on demand, on a schedule, or from a webhook, with web search, email, and your connected tools. m Memcode New chat Agents Assistants DataHub Websites Recent Refactor auth middleware Debug race condition in worker Review PR #142 streaming fix Plan migration to new schema [email protected] Competitor Watch Agent Scheduled · Mondays at 9am Running Connected:Web SearchEmailStorage Starting the weekly competitor sweep... 2s Searching the web for launches and pricing changes... 14s Reading 12 announcements and changelogs... 9s Writing this week's brief... 8s Emailing the brief to the team... Output Preview Weekly brief: 3 findings Two competitors moved to usage-based pricing this week. One shipped an enterprise tier. Full comparison saved to storage and emailed to the team. Give chat your team's knowledge Architecture decisions, runbooks, API references, design docs. Upload them to DataHub and chat on the web can search them and cite them in its answers. m Memcode New chat Agents Assistants DataHub Websites Recent Refactor auth middleware Debug race condition in worker Review PR #142 streaming fix Plan migration to new schema [email protected] Docs NameSize Architecture Decisions18 items — Runbooks6 items — Product Specs11 items — api-reference.md 28 KB payments-overview.md 12 KB deploy-runbook.md 15 KB onboarding.md 6 KB schema.sql 9 KB Describe a site. Ship it. The website builder turns a prompt into a real site: watch it build live, click any text to edit it in place, then publish to your-name.memcode.app or bring a custom domain. m Memcode New chat Agents Assistants DataHub Websites [email protected] Build a landing page for a specialty coffee roaster. Warm, minimal, with a story section and an order CTA. Build Built the landing page: hero with tasting notes, a story section, and an order CTA wired to the menu. Add a subscription card with three tiers Working on your site… Describe a change to build… ember-coffee.memcode.app Ember Roasters BeansStoryVisitOrder Small-batch since 2019 Coffee roasted the slow way Single-origin lots, roasted to order and shipped within 24 hours of the roast. Order beansOur story Ethiopia Guji peach · bergamot Huila Decaf cocoa · plum Ember Blend toffee · citrus Every frontier model Different models think differently. Memcode sends each job to the model that handles it best, or you pin one and it handles the whole session. Direct-billed at provider cost, or bring your own keys. O OpenAI 3 models GPT-5.6 Sol thinking 1.1M context OpenAI frontier GPT-5.6 Sol. Top-tier intelligence for coding and professional work, with a 1.05M context window. GPT-5.6 Terra thinking 1.1M context Balanced GPT-5.6 model with strong reasoning at a fraction of the cost of Sol. GPT-5.6 Luna thinking 1.1M context Fast, cost-effective GPT-5.6 model for quick tasks and high-volume use cases. A Anthropic 4 models Fable 5 thinking 1M context Anthropic's most capable model: state-of-the-art coding, vision, and computer use with a 1M context window and always-on adaptive thinking. Opus 5 thinking 1M context Exceptional Claude model for advanced software engineering, with a 1M context window and adaptive thinking. Sonnet 5 thinking 1M context Latest Claude Sonnet with adaptive thinking, 1M context, and best speed-to-intelligence ratio. Haiku 4.5 200K context Fastest and most compact Claude model, perfect for quick responses. G Google 2 models Gemini 3.1 Pro thinking 1M context Latest Gemini model with significantly improved reasoning and 1M context window. Gemini 3.6 Flash thinking 1M context Gemini 3.6 Flash, the latest frontier speed model. Combines frontier intelligence with superior search and grounding; outperforms Gemini 3.1 Pro on coding and agentic benchmarks at a fraction of the cost. X xAI 1 model Grok 4.5 thinking 500K context xAI flagship model with large context window. F Fireworks 4 models GLM-5.2 thinking 1M context Open-weight coding flagship (Z.ai) with a 1M context window — the same cheap lane the memcode CLI runs on. Kimi K2.6 thinking 262K context Moonshot general open-weight model with native vision and a 262K context window. Kimi K2.7 Code thinking 262K context Moonshot coding specialist with native vision and a 262K context window. Kimi K3 thinking 1M context Moonshot flagship on the cheap Fireworks lane: 1M context and native vision. Install in one line macOS, Linux, and Windows. Runs in your terminal. Run on Memcode credits, or bring your own keys with any plan. Log in to the web app