diff --git a/articles/001-开源龙虾全家桶深度解读.md b/articles/001-开源龙虾全家桶深度解读.md index 459ed6f..5da0dfa 100644 --- a/articles/001-开源龙虾全家桶深度解读.md +++ b/articles/001-开源龙虾全家桶深度解读.md @@ -4,6 +4,8 @@ > 分类:技术解读 / 科普 > 作者:老邓唠AI +![封面](images/001/cover.png) + ## 导语 2026 年初,一只"龙虾"横空出世——OpenClaw 在 72 小时内斩获 6 万 GitHub Stars,100 天内飙到 25 万+,超越了 React 用 13 年攒下的纪录。一时间,"养龙虾"成为开发者圈子里最火的话题。 @@ -18,6 +20,8 @@ 在聊"全家桶"之前,先搞清楚 OpenClaw 到底是啥。 +![OpenClaw](images/001/openclaw_hero.png) + **OpenClaw 不是一个编程工具,而是一个"生活操作系统"。** 它是由奥地利程序员 Peter Steinberger 用 TypeScript 开发的开源个人 AI Agent,口号是 "The AI that actually does things"(真正能干活的 AI)。 ### 核心能力 @@ -56,6 +60,8 @@ OpenClaw 的爆火催生了一批各具特色的"龙虾亲戚"。 ### 2.1 Nanobot —— 4000 行代码的极简龙虾 +![Nanobot](images/001/nanobot.png) + | 维度 | 详情 | |------|------| | 来源 | 香港大学 HKUDS 团队 | @@ -67,6 +73,8 @@ Nanobot 的哲学是**"少即是多"**。它用最少的代码复现了 OpenClaw ### 2.2 PicoClaw —— 跑在 10 美元开发板上的龙虾 +![PicoClaw](images/001/picoclaw.png) + | 维度 | 详情 | |------|------| | 来源 | Sipeed(矽速科技) | @@ -78,6 +86,8 @@ Nanobot 的哲学是**"少即是多"**。它用最少的代码复现了 OpenClaw ### 2.3 ZeroClaw —— 用 Rust 写的安全龙虾 +![ZeroClaw](images/001/zeroclaw.png) + | 维度 | 详情 | |------|------| | 来源 | Harvard/MIT 学生及 Sundai.Club 贡献者 | @@ -98,6 +108,8 @@ NanoClaw 的思路是:既然 Agent 可能有风险,那就把它关进"笼子 ### 2.5 memU —— 记忆力最强的龙虾 +![memU](images/001/memu.png) + | 维度 | 详情 | |------|------| | 来源 | NevaMind-AI | @@ -121,8 +133,12 @@ OpenClaw 的记忆系统是平铺式的对话日志,而 memU 把每条记忆 国内大厂也没闲着,纷纷推出自己的"龙虾"。 +![中国龙虾军团](images/001/china_lobsters.png) + ### 3.1 LobsterAI —— 网易有道的中国版 OpenClaw +![LobsterAI](images/001/lobsterai.png) + | 维度 | 详情 | |------|------| | 公司 | 网易有道 | @@ -163,6 +179,8 @@ CoPaw 更聚焦在办公场景,提供 SaaS 和本地插件两种模式,让 ### 3.5 Agent TARS & Computer Use Agent —— 字节跳动的双子星 +![Agent TARS](images/001/agent_tars.png) + | 产品 | 定位 | 特点 | |------|------|------| | **Agent TARS** | 多模态任务 Agent | 视觉理解 + 工具集成,智能任务自动化 | @@ -202,6 +220,8 @@ CoPaw 更聚焦在办公场景,提供 SaaS 和本地插件两种模式,让 ### 选龙虾指南 +![选龙虾](images/001/choose_guide.png) + - **想要最完整的体验** → OpenClaw(但注意安全风险) - **想快速上手、中文友好** → LobsterAI(网易有道) - **对安全性要求极高** → ZeroClaw 或 NanoClaw @@ -216,6 +236,8 @@ CoPaw 更聚焦在办公场景,提供 SaaS 和本地插件两种模式,让 ## 五、安全警示:养龙虾需谨慎 +![安全警示](images/001/security_warning.png) + 最后必须提一句安全问题。OpenClaw 的 Skills 生态是社区驱动的,这意味着任何人都可以上传插件。CrowdStrike 和 Bitdefender 等安全公司已经发出警告:**存在"工具投毒"和恶意 Skills 的风险。** 养龙虾的注意事项: diff --git a/articles/images/001/agent_tars.png b/articles/images/001/agent_tars.png new file mode 100644 index 0000000..73e564a Binary files /dev/null and b/articles/images/001/agent_tars.png differ diff --git a/articles/images/001/china_lobsters.png b/articles/images/001/china_lobsters.png new file mode 100644 index 0000000..117e24a Binary files /dev/null and b/articles/images/001/china_lobsters.png differ diff --git a/articles/images/001/choose_guide.png b/articles/images/001/choose_guide.png new file mode 100644 index 0000000..342fa4a Binary files /dev/null and b/articles/images/001/choose_guide.png differ diff --git a/articles/images/001/cover.png b/articles/images/001/cover.png new file 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os.path.join(os.path.dirname(__file__), '..', 'images', '001') + +IMAGES = [ + { + "name": "cover.png", + "prompt": "一群风格各异的卡通龙虾站在巨大的发光电路板上,每只龙虾颜色不同,有红色、蓝色、绿色、金色、紫色,背景是深蓝色科技感数据流,中间有一个大大的开源符号,扁平插画风格,色彩鲜艳,充满活力,16:9构图", + "width": 1280, + "height": 720, + }, + { + "name": "openclaw_hero.png", + "prompt": "一只巨大的红色卡通龙虾坐在服务器机房的中控台前,面前有多个全息屏幕显示着WhatsApp、Slack、Telegram的图标,龙虾戴着耳机在工作,科技感,赛博朋克风格,蓝紫色调", + "width": 1024, + "height": 1024, + }, + { + "name": "nanobot.png", + "prompt": "一只迷你的白色卡通龙虾站在一本打开的Python编程书上,身体非常小巧精致,旁边有一个放大镜,上面写着4000,极简风格,白色背景,干净利落,扁平插画", + "width": 1024, + "height": 1024, + }, + { + "name": "picoclaw.png", + "prompt": "一只微型绿色卡通龙虾站在一块很小的电路板芯片上,芯片发着绿色的光,旁边放着一枚硬币做大小对比,背景是智能家居场景,温暖的灯光,科技与居家结合的风格", + "width": 1024, + "height": 1024, + }, + { + "name": "zeroclaw.png", + "prompt": "一只银色金属质感的卡通龙虾身穿铠甲,手持盾牌,盾牌上有一个锁的图标,站在数字城堡的城门前,背景是防火墙的数据流,安全感十足,金属蓝色调,科幻风格", + "width": 1024, + "height": 1024, + }, + { + "name": "memu.png", + "prompt": "一只紫色卡通龙虾的大脑上方浮现着发光的知识图谱网络,各个节点之间有彩色连线,节点上有小图标代表日历、音乐、跑步、生日蛋糕等生活场景,深色背景,科技紫色调,梦幻风格", + "width": 1024, + "height": 1024, + }, + { + "name": "china_lobsters.png", + "prompt": "五只不同颜色的卡通龙虾站在中国风格的舞台上,背景有网易、阿里巴巴、腾讯、字节跳动的抽象标志元素,舞台上有红色灯笼和科技全息投影的结合,中国红与科技蓝的碰撞,喜庆又现代", + "width": 1280, + "height": 720, + }, + { + "name": "lobsterai.png", + "prompt": "一只金色卡通龙虾面前有一个漂亮的图形化操作界面,界面上显示着中文,龙虾用钳子在触摸屏上操作,旁边有DeepSeek的logo标志,现代化办公室背景,明亮温暖的色调", + "width": 1024, + "height": 1024, + }, + { + "name": "agent_tars.png", + "prompt": "一只机械风格的卡通龙虾坐在电脑前,它的眼睛发出扫描光线照在电脑屏幕上,钳子在键盘上打字,屏幕上显示着被高亮框选的GUI元素,未来感十足,暗色调配霓虹灯效果", + "width": 1024, + "height": 1024, + }, + { + "name": "choose_guide.png", + "prompt": "一个可爱的卡通场景:一个人站在龙虾水族馆前,玻璃缸里有各种不同颜色和大小的龙虾,每只龙虾上方有小标签,人物在思考选择哪只,温馨有趣的插画风格,明亮色彩", + "width": 1280, + "height": 720, + }, + { + "name": "security_warning.png", + "prompt": "一只卡通龙虾拿着一个警告三角标志,旁边有一个打开的插件盒子,里面冒出可疑的紫色烟雾,背景是安全警示条纹,黄色和黑色配色,警示感强烈但不失可爱", + "width": 1024, + "height": 1024, + }, +] + + +def main(): + os.makedirs(BASE_DIR, exist_ok=True) + results = [] + + for i, img in enumerate(IMAGES): + output_path = os.path.join(BASE_DIR, img["name"]) + if os.path.exists(output_path): + print(f"[{i+1}/{len(IMAGES)}] 跳过已存在: {img['name']}") + results.append(output_path) + continue + + print(f"\n[{i+1}/{len(IMAGES)}] 生成: {img['name']}") + result = generate_image( + prompt=img["prompt"], + output_path=output_path, + width=img.get("width", 1024), + height=img.get("height", 1024), + ) + if result: + results.append(result) + else: + print(f" !! 生成失败: {img['name']}") + + print(f"\n===== 完成 =====") + print(f"成功: {len(results)}/{len(IMAGES)}") + for r in results: + print(f" ✓ {r}") + + +if __name__ == '__main__': + main() diff --git a/scripts/jimeng_gen.py b/scripts/jimeng_gen.py new file mode 100644 index 0000000..62306e1 --- /dev/null +++ b/scripts/jimeng_gen.py @@ -0,0 +1,158 @@ +"""即梦 AI 图片生成工具""" + +import json +import os +import sys +import time +import base64 +import datetime +import hashlib +import hmac +import requests + +# ===== 配置 ===== +ACCESS_KEY = 'AKLTOWVjYmE2NGVhZTFhNDQ2OThiYTNhZDdjZTZiYTc3ZTQ' +SECRET_KEY = 'WXpVd016azFPVEF3TURjNE5EbGxOV0psTlRNek1qaGpaalEyWkdKa1kyRQ==' +HOST = 'visual.volcengineapi.com' +ENDPOINT = 'https://visual.volcengineapi.com' +REGION = 'cn-north-1' +SERVICE = 'cv' + + +def _sign(key, msg): + return hmac.new(key, msg.encode('utf-8'), hashlib.sha256).digest() + + +def _get_signature_key(key, date_stamp, region_name, service_name): + k_date = _sign(key.encode('utf-8'), date_stamp) + k_region = _sign(k_date, region_name) + k_service = _sign(k_region, service_name) + k_signing = _sign(k_service, 'request') + return k_signing + + +def _format_query(parameters): + return '&'.join(f'{k}={parameters[k]}' for k in sorted(parameters)) + + +def jimeng_request(action, body_params): + """发送即梦 API 请求""" + t = datetime.datetime.now(datetime.UTC) + current_date = t.strftime('%Y%m%dT%H%M%SZ') + datestamp = t.strftime('%Y%m%d') + + query_params = _format_query({'Action': action, 'Version': '2022-08-31'}) + req_body = json.dumps(body_params) + payload_hash = hashlib.sha256(req_body.encode('utf-8')).hexdigest() + + signed_headers = 'content-type;host;x-content-sha256;x-date' + canonical_headers = ( + f'content-type:application/json\n' + f'host:{HOST}\n' + f'x-content-sha256:{payload_hash}\n' + f'x-date:{current_date}\n' + ) + canonical_request = f'POST\n/\n{query_params}\n{canonical_headers}\n{signed_headers}\n{payload_hash}' + + credential_scope = f'{datestamp}/{REGION}/{SERVICE}/request' + string_to_sign = ( + f'HMAC-SHA256\n{current_date}\n{credential_scope}\n' + + hashlib.sha256(canonical_request.encode('utf-8')).hexdigest() + ) + + signing_key = _get_signature_key(SECRET_KEY, datestamp, REGION, SERVICE) + signature = hmac.new(signing_key, string_to_sign.encode('utf-8'), hashlib.sha256).hexdigest() + + authorization = ( + f'HMAC-SHA256 Credential={ACCESS_KEY}/{credential_scope}, ' + f'SignedHeaders={signed_headers}, Signature={signature}' + ) + + headers = { + 'X-Date': current_date, + 'Authorization': authorization, + 'X-Content-Sha256': payload_hash, + 'Content-Type': 'application/json' + } + + r = requests.post(f'{ENDPOINT}?{query_params}', headers=headers, data=req_body) + return r.json() + + +def _ensure_dir(file_path): + dir_name = os.path.dirname(file_path) + if dir_name: + os.makedirs(dir_name, exist_ok=True) + + +def generate_image(prompt, output_path, width=1024, height=1024): + """文生图:提交任务并轮询获取结果,保存图片到本地""" + print(f"[即梦] 生成图片: {prompt[:50]}...") + + # 1. 提交任务 + submit_resp = jimeng_request('CVSync2AsyncSubmitTask', { + 'req_key': 'jimeng_t2i_v40', + 'prompt': prompt, + 'width': width, + 'height': height + }) + + if submit_resp.get('code') != 10000: + print(f"[即梦] 提交失败: {submit_resp}") + return None + + task_id = submit_resp['data']['task_id'] + print(f"[即梦] 任务已提交, task_id: {task_id}") + + # 2. 轮询查询结果 + for i in range(30): + time.sleep(5) + result = jimeng_request('CVSync2AsyncGetResult', { + 'req_key': 'jimeng_t2i_v40', + 'task_id': task_id + }) + + resp_code = result.get('code') + resp_data = result.get('data', {}) + + # 检查任务是否完成 + if resp_code == 10000: + # 尝试获取图片数据 + image_urls = resp_data.get('image_urls', []) + binary_data = resp_data.get('binary_data_base64', []) + + if image_urls: + # 下载图片 + img_url = image_urls[0] + img_data = requests.get(img_url).content + _ensure_dir(output_path) + with open(output_path, 'wb') as f: + f.write(img_data) + print(f"[即梦] 图片已保存: {output_path}") + return output_path + + if binary_data: + # base64 解码保存 + img_data = base64.b64decode(binary_data[0]) + _ensure_dir(output_path) + with open(output_path, 'wb') as f: + f.write(img_data) + print(f"[即梦] 图片已保存: {output_path}") + return output_path + + # 任务可能还在处理中 + status = resp_data.get('status', 'unknown') + if status == 'done': + print(f"[即梦] 任务完成但未找到图片数据: {json.dumps(result, ensure_ascii=False)[:200]}") + return None + + print(f"[即梦] 等待中... ({i+1}/30)") + + print("[即梦] 超时") + return None + + +if __name__ == '__main__': + prompt = sys.argv[1] if len(sys.argv) > 1 else "一只可爱的卡通龙虾站在发光的电路板上,科技感,扁平插画风格,蓝色调" + output = sys.argv[2] if len(sys.argv) > 2 else "test_output.png" + generate_image(prompt, output)