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Bitwave CLI
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Put agents to work inside Bitwave.
Bitwave CLI allows an agent to connect to Bitwave and perform work using the data and functionality already available within the platform.
Through the CLI, agents can:
Access Bitwave data Retrieve transactions Add and retrieve wallets Check balances Categorize transactions Run balance reports Generate inventory views Support other repeatable accounting workflows
Instead of manually navigating through the same steps each time, finance teams can give an agent a task and allow it to use Bitwave’s tools to complete the underlying work.
The goal is straightforward: automate more of the repetitive work surrounding financial operations so people can focus on reviewing results, resolving exceptions, and making decisions.
Let an agent build a set of books
Bitwave CLI can also operate outside an organization’s primary Bitwave environment.
An agent can use the CLI to create a lightweight, local general ledger for a specific project or accounting exercise. It can record activity, generate reports, and share the resulting set of books through a human-readable Bitwave interface.
For example, a user could ask an agent to:
Build a depreciation schedule for construction costs Create a project-specific ledger Produce a balance sheet Generate a profit and loss statement Model and document a discrete accounting scenario The agent can build the work product locally and then share it through Bitwave for someone to inspect and use. This creates a practical bridge between work completed autonomously by an agent and the human review that financial operations still require.
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Based on our record, Reddit seems to be more popular. It has been mentiond 3302 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Here, I just discovered a much larger one: https://reddit.com. - Source: Hacker News / 2 days ago
From urllib.parse import urlparse Def normalize_gh(r): return { "title": r["name"], "url": r["url"], "source": "github", "score": r["stars_this_period"], "desc": r.get("description", ""), "date": r["trending_date"], "lang": r.get("language"), } Def normalize_hn(p): return { "title": p["title"].replace("Show HN: ", ""), "url":... - Source: dev.to / 5 months ago
@tool Def search_reddit(keywords: str, max_results: int = 20) -> list[dict]: """Fallback: search Reddit directly via PRAW.""" reddit = praw.Reddit( client_id=os.environ["REDDIT_CLIENT_ID"], client_secret=os.environ["REDDIT_CLIENT_SECRET"], user_agent="doug-agent/1.0", ) candidates = [] for submission in reddit.subreddit("all").search(keywords, sort="new",... - Source: dev.to / 4 months ago
Import requests Import time Def fetch_subreddit_posts(subreddit, sort="hot", limit=25): url = f"https://www.reddit.com/r/{subreddit}/{sort}.json" params = { "limit": limit, "raw_json": 1, # Prevents HTML encoding in responses } headers = { "User-Agent": "PythonScraper/1.0 (research project)" } response = requests.get(url, params=params, headers=headers) if... - Source: dev.to / 5 months ago
From sessionkeeper import SessionKeeper Async with SessionKeeper("reddit") as sk: page = await sk.get_authenticated_page("https://reddit.com") # You're logged in. Do your automation. await page.goto("https://reddit.com/r/blender/submit"). - Source: dev.to / 6 months ago
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