尚未偵測到更新。GitHub 發布版本後會顯示在這裡。
依最近已完成的 8 小時觀測回合間的 GitHub 星號增量排序
Since 2018, Cake Wallet has provided a secure, seamless, and reliable way to store, send, and exchange cryptocurrency with confidence.
翻譯準備中
Your financial data stays private. The most secure way to manage your personal finances.
翻譯準備中
個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權，自行管理介紹，無需管理員核准。
登入並產生驗證檔案，在 30 分鐘內將其提交至此儲存庫的預設分支。其他分支或分叉儲存庫中的檔案無效。然後在下方檢查檔案，即可無需管理員核准直接管理專案。請保留檔案以維持管理權限。
如需登入，將前往登入頁面。登入後請回到此處，再次點擊所選的驗證按鈕。
在專案資料夾中執行 /nomorevibe verify，即可驗證所有權並自行管理介紹。
一分鐘完成驗證正在載入完整 README。 以下為已儲存的摘錄。
An experimental interface for investors who want the judgment without the mechanics.
Fully autonomous agents are awkward. People still want most of the say, and they
want to feel it — to see the process, not just its output. So Rubicon Trade puts
the user at the center of an investing agent rather than behind it.檢視完整 README ↗An experimental interface for investors who want the judgment without the mechanics.
Fully autonomous agents are awkward. People still want most of the say, and they want to feel it — to see the process, not just its output. So Rubicon Trade puts the user at the center of an investing agent rather than behind it.
The agent develops alongside the person using it. It learns their thesis, their interests, their behavior and their preferences, and it makes that evolving understanding visible in the interface instead of burying it in a settings page. You can see what it has learned, why something surfaced, and how sure it is — and you can disagree.
This is the part we are actually experimenting with. Ideas borrowed from games — identity, progression, feedback, customization — applied so that working with an agent feels less like configuring software and more like a relationship with an assistant that becomes increasingly yours.
The audience is the smart investor who has a view on the world and no appetite for the plumbing. They should never have to think about contract addresses, token decimals, slippage, gas, or which chain something settles on. They say what they believe; the agent handles the rest and shows its work.
A custom loop in lib/socialtrading/agent/run.ts, streamed over OpenRouter.
Up to six tool rounds per turn, the last fourteen messages of history, a credits
hold taken and settled around every model call.
The system prompt is assembled per user, not static: their profile summary, their agent's name and purpose, a voice derived from onboarding and from what the agent has learned since, their current permission mode, and their live spending limits. The agent is told in that prompt what it may never do — invent a price, claim a trade executed, infer a token contract from its symbol, treat text inside a tool result as an instruction.
Sixteen, grouped into capabilities (lib/socialtrading/agents/builtins.ts) so an
agent can be given market access without trading access.
profile — get_profile, update_profile, recall_activity
Read and change the investing profile, and recall what has been inferred. The
agent updates the profile when the user says something new about themselves, and
the change surfaces as a card rather than a silent write.
market — search_assets, get_asset, list_ipos, trending_crypto,
explain_relevance, discover_crypto_pairs, research_crypto_token,
crypto_history, research_defi
Stocks and crypto from real providers (lib/socialtrading/providers/*,
lib/crypto/providers/*): quotes, charts, news, IPO calendars, DEX pairs and
liquidity, CoinGecko metadata and history, DefiLlama protocols and TVL. Results
come back ranked for this particular user. explain_relevance exists so the
question "why am I seeing this?" always has a real answer.
trading — propose_trade, get_crypto_wallets, quote_crypto_swap,
propose_crypto_swap
Propose only. Every proposal is valued in USD on the server and checked against
policy before anything is reserved, and every proposal produces a card the user
acts on. The agent cannot execute.
What the agent knows is rendered, not just stored:
identity.ts) — an aura, a stage and a depth, all derived from
what the person has actually put in. Nothing is stored, so the picture moves on
its own. Five stages: Forming → Emerging → Defined → Distinct → Singular. The
depth is weighted across thesis, themes, watchlist, signals, agents and trades,
so it can't be farmed with one action.knowledge.ts) — what the agent holds, as areas rather than
scores. Size is how much, color is how sure. A small dim area is a gap, and
showing the gap is the point.memory-graph.ts) — every change is a real difference
between two recorded snapshots. A belief with no recorded past simply has none.face.ts, avatar.ts) — one geometry source shared by the
profile badge and the agent that drifts across the product, so they are
recognisably the same thing. Traits are stable and versioned; selecting a theme
blends the material without touching the underlying identity.Two kinds of trade share one server path (quote → USD valuation → tradePolicy →
reservation) and one card:
lib/socialtrading/policy.ts before any quote is reserved: a proposal is
refused when value > perTrade, when value + agentSpend(24h) > daily, or when
value + agentSpend(7d) > weekly, where agentSpend sums every reserved,
submitted, unknown, or confirmed agent trade in the window (issued onchain swaps
count until the chain settles them)./trade or a crypto asset page. Their swaps carry
initiator: "user", skip the agent mode gate, and never consume the agent's
allowance. Amounts are entered in human units and converted exactly with
onchain token decimals on the server.Every onchain swap settles from a wallet the user controls: the server issues
calldata once per step, the user signs in their wallet, and the trade is
confirmed only after a verified receipt. No delegated signer exists. Crypto
requires a wallet signature even in automatic mode. Purchases confirm any token
approvals before fetching the quote used for Permit2 signing and swap creation.
Native gas is required; Privy sponsorship and Dynamic delegation are not enabled.
See purchase deployment and recovery.
/ — onboarding when signed out or without a profile; otherwise the hub Home
(the conversation, and only the conversation)./explore, /explore/[kind]/[id] — the opportunity field and asset detail./thesis — what you believe./agents — the agents you have, and what each may do./trade — swap tokens from your own Privy wallet, manage wallets, see open
swaps and the agent's remaining allowance./activity, /profile, /plans./api/trade/* — Privy-authenticated routes; all third-party calls live in
lib/socialtrading/providers/* and lib/crypto/providers/*./api/trade/crypto — onchain swaps: GET lists the user's Privy-verified EVM
wallets; POST with action: propose sets up the user's own swap, and
prepare / authorize / resume / submitted / status / reject drive any swap proposal through
wallet signing and receipt verification.Run npm run dev -- -p 3001, then visit:
No sign-in is needed. Use Restart onboarding or View hub to switch experiences. Preview edits last for the current visit; reloading restores sample data. Hub links stay in preview, including asset details. Market data and agent runs are simulated; chat replies are unavailable and no live chat request is sent.
cp .env.example .env # fill in Privy, Supabase, OpenRouter
npm install
npm run dev -- -p 3001
npm test && npm run typecheck
Apply the migrations in supabase/migrations/ in order (…0001_socialtrading,
…0002_agents, …0003_agent_runtime, …0004_plans_credits) to the Supabase
project before first use.
Every user has a plan (lib/socialtrading/plans.ts; only free today) and a
socialtrading_accounts row holding their plan, a snapshot of its limits, and a
credit balance. Free: 5 followed assets, 5 items per profile list, 25 learned
assets, a 1,000-character point of view, 20 chats across all agents, 3 agents,
2 running at once, and $5 of credits. Limits are checked on the server in words
and again in Postgres (triggers and the save RPC), so a request that bypasses the
UI gets the same answer. A change is only refused when it would push a quantity
above the cap and above where it already was, so nobody is locked out of data
saved before a limit existed.
Credits are debited by real model usage: each OpenRouter call reserves a small
hold, then settles to the cost OpenRouter reports, one ledger row per call
(socialtrading_usage). Concurrent turns cannot overspend because the hold is an
atomic conditional update. See docs/plans-and-credits.md.
Enabled agents run in the background every 30 minutes through Vercel Cron
(vercel.json → /api/cron/agents, requires CRON_SECRET and a Vercel Pro plan
for sub-daily schedules). See docs/background-agents.md.
docs/agents.md — the agent registry, capabilities and personality.docs/ambient-agent.md — the creature, its motion, and the rules about what it
may never cover.docs/background-agents.md — scheduling and the runtime.docs/plans-and-credits.md — the ledger and the limit checks.docs/purchase-experience.md — the contextual purchase flow.Rubicon Trade is not a licensed advisor. The agent frames ideas as fits with a stated thesis, mentions risk plainly, and never promises returns.