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Sahil Mohan Bansal🙏 266 karmaNov 13, 2024@CodeRabbitReducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs -
🛡️ Security Improvements • Secure webhook support added • /hooks endpoints are now protected with bearer token authentication • External services can safely communicate with OpenClaw • Secure-by-default implementation • Reduced risk of unauthorised event triggering -
One-click OpenClaw setup with AI inference included, no token capOpen
Awesome idea to have a unlimited token plan tied directly to a managed opnclaw instance. A little bit tricky to get setup without CLi access. but seems to work well once you get past that! -

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AgentSwarms — Our Biggest Release Yet: 100+ Executable Framework Notebooks, Voice Agents, Website Embeds & More TL;DR — what's new: -103 executable, in-browser notebooks across 9 agent frameworks — no setup, run every cell live. -Voice agents you build with speech-to-text + text-to-speech and talk to right in the browser. -Website embeds — drop a standalone agent or a multi-agent task bot onto your own site with one iframe. -30 interactive field-engineering blogs + 25 interactive presentation decks -9 hands-on failure-mode labs + a 38-cell failure-modes notebook covering 12 real production failures -17 free, no-login interactive AI tools -Detailed swarm execution traces — tokens, cost, latency, every handoff -20 runnable industry templates AgentSwarms is a learn-by-building platform for Agentic AI: build, run, test, and ship AI agents and multi-agent swarms — and actually learn the frameworks by running real code, not reading about it. This is our largest update to date. Here's everything that's new. 1. Framework-specific notebooks with executable cells — learn every major agent framework by running it We shipped 103 notebooks with live, editable cells that execute right in your browser — zero installs, zero API keys to wrangle. There are dedicated, in-depth tracks for OpenAI Agents SDK, Google ADK, LlamaIndex, Mastra, LangChain, LangGraph.js, and AWS Strands SDK — plus Vercel AI SDK and VoltAgent. Each track walks the whole arc: fundamentals → typed tools → multi-agent handoffs → memory → guardrails → evaluation, with clear, beginner-friendly explanations next to code you can change and re-run. Start here: https://agentswarms.fyi/notebooks 2. Build voice agents with TTS + STT — give any agent a voice and talk to it You can now turn any agent into a voice agent using a speech-to-text → LLM → text-to-speech pipeline, pick from 11 studio voices, and talk to it live in the Voice Playground — tap the mic, speak, and hear it answer back. Fork a ready-made sample to get started in seconds. Because voice runs on the same engine as chat, your tools, RAG, memory, and guardrails all carry straight over. Try it: https://agentswarms.fyi/voice-playground 3. Build an AI backend and embed agents + multi-agent task bots on your website Ship what you build. Embeds turns any agent or swarm into a widget you paste into your own site with a single iframe — no backend to stand up. Choose an Agent embed (a streaming chat panel that answers with the agent's full brain) or a Swarm embed (a run-and-return task bot where a whole multi-agent workflow executes server-side and returns the result). Every embed gets domain-locked API keys, a per-embed daily request cap, and serves anonymous visitors with no login. Details: https://agentswarms.fyi/docs/embeds 4. New interactive field-engineering blogs and presentations Our library now includes 30 field-engineering blog posts, each with custom interactive visuals you can click through — covering AI agents in financial services, multi-agent simulation, deploying MCP servers to AWS/Azure/GCP, voice agents, security, retrieval, cost control, and framework deep-dives. Alongside them are 25 interactive presentation decks on everything from LLM internals to multi-agent orchestration and LLMOps. Read them: https://agentswarms.fyi/blog 5. A lot more failure-mode labs and notebooks Real agents fail in ways demos never show, so we built the practice ground for it: 9 hands-on failure-mode labs in the swarm canvas that inject a real fault — a coordination deadlock, a cascading error, a runaway loop, a prompt injection — and then grade your fix. They're backed by a 38-cell "Failure Modes Lab" notebook that reproduces 12 production failure modes (hallucinations, sycophancy, RAG poisoning, context rot, cost blow-ups, goal drift, and more) and ships the exact fix for each. Start at https://agentswarms.fyi/learn 6. Free interactive AI tools We added 17 free, no-login browser tools for everyday agent work: a RAG chunking visualizer, prompt-injection tester, semantic chunker, swarm-architecture visualizer, PII redactor, multi-agent token-cost calculator, LLM-as-a-judge builder, tool-schema generator, GraphRAG triplet extractor, synthetic RAG-eval dataset generator, and more. Open and use them instantly: https://agentswarms.fyi/tools 7. Detailed swarm execution traces Every multi-agent run is now fully traced and replayable. Step through each node's inputs and outputs, every tool call and handoff, and read per-run token usage, cost, and latency on a timeline — the raw material for debugging, evals, and cost dashboards. No more guessing why a swarm did what it did. 8. More runnable industry templates We expanded the template library to 20 one-click, runnable industry templates — support triage / knowledge-base agent, research RAG, sales outreach, code reviewer, CRM data cleanser, long-context analysis, and more. Each spins up a working agent or swarm you can run immediately and adapt. Browse them: https://agentswarms.fyi/templates -

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AI agent for Jupyter: Generate code, run cells with natural language.Open

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Maybe give it another go now? It works just fine for me -
Man, with the free models that we have web creation became so easy. But everyone had the same websites. I really like how different they look from others. -

Verified tools
- Spotlight
SureThing.io - "OpenClaw" for BeginnersTask automation
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Great tool, easy to get started building AI-native apps, and it has a depth of features needed for production usage
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Open
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AI-powered task list: Dictate tasks, integrate with Gmail, Slack, ChatGPT & Calendar.OpenEasy to use and the AI does its work but it is not something extraordinary. But the AI can do nothing more as it does right now
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As a student juggling classes and deadlines, this tool is a lifesaver. It helps me stay on track without having to manually check everything.
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New: Added a batch of new templates covering more scenes and use cases, ready to use out of the box Improved: Polished some UX details for smoother operation Fixed: Fixed some known issues to improve stability
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The fact that it's available through ChatGPT plugin actually helped me find a lot more AI tools to help me do certain tasks. Thanks.
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Base44 is an AI-powered platform for building fully-functional apps with no code and minimal setup hassle. The platform leverages advanced AI technology to translate simple, natural language descriptions into working apps. Let’s make your dream a reality. Right now.
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Looks like an interesting project with complete focus on ease of use and no-code environment! 🤩 #NoCode #Project #Software #Development #EaseOfUse
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I've been using Zoer.ai for the past few months to build custom business applications, and it's honestly transformed how I approach development. What sets it apart is the intelligent AI chat interface that actually understands your business requirements and generates production-ready code. The multi-stage generation pipeline is incredibly smart - it doesn't just spit out generic templates, but creates tailored Next.js applications with proper database schemas, API endpoints, and even UI components that match your specific needs. The PostgREST integration means you get a fully functional backend without writing a single line of server code. What I love most is the real-time collaboration aspect. The AI assistant helps debug issues, suggests improvements, and even handles complex database queries through natural language. It's like having a senior developer pair programming with you 24/7. The code quality is surprisingly good - clean TypeScript, proper error handling, and follows modern React patterns. I've deployed several client projects built with Zoer and they perform beautifully in production. If you're a solo developer or small team looking to ship faster without compromising quality, Zoer.ai is absolutely worth trying.
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Assign Jira tickets directly to Cursor agents and get PRs and Previews.Open
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Hey Michael 🙂 Thanks for the honest feedback , and I totally understand where you're coming from. We recently added the tutorial to help new users understand the app quickly, but we hear you , we’ll look into making it optional. Also, just to clarify: we do offer a free plan! You should be able to create and preview documents without paying. If you ran into any issues, please reach out to us at [email protected] , we’d be happy to give you extra free credits and make things right. We’d love the chance to turn that 2⭐️ into a 5⭐️ , and your input helps us get better. Appreciate you giving it a shot! Best, The Writedoc.ai Team
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Absolutely love this tool! It helps me apply to jobs so quickly and is so easy to use
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OpenLove that it’s open source. I built a whole GPT content pipeline in a weekend. -
I handle a large number of tasks simultaneously through VoooAI to complete my creative work, thereby accomplishing the workload equivalent to one month in one day
Other tools
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This feels like one of those tools that removes a super annoying workflow people just accepted for years.
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Hello, If you had to describe your AI in one sentence without using the word "AI," what would you say? The reason I asked is because it's an interesting way to understand what makes a product truly valuable. How would you describe it?
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Ready-to-use AI Teams for Your Automation NeedsOpengood!A different kind of AI tool that has been very helpful for my work!
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The K2.5 Agent mode itself is giving up on a particular small task
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Try doing anything real with Lovable and welcome to the error loop. Has a lot of potential but Lovable does not seem to be ready to produce real apps with multiple pieces that need to work together without getting stuck in error loops. Disappointing.
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Way easier to use since it finds relevant files for you.
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Another ClawdBot inversion, love it. Gotta hope for safety!
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Approve/reject Claude code permission requests from anywhere on MacOpen
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it's actually kinda crazy. turned nothing (or lazy ideas) into tiny apps. and you can even tweak stuff. love that it's open source too. big ups to the dev. oh and it's really REALLY quick
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The tool's quality has dropped significantly over the past three months. The AI is taking three times longer to solve problems and is still making many mistakes. Accuracy has decreased by at least 60%. I had to manually fix everything and stop using the prompt. Unfortunately, it used to work very well for me, but now it no longer does.
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Seamless to setup and works as an excellent alternative to GitHub Copilot.
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It really helps in coding. I let chatgpt create a code, and copy paste and ask claude to check it if it can be done better. Well, it is really fun! I also use its Image creation tool to create posts for social media. Having a tool that uses Stability AI API to create photorealistic images is really helpful. Overall 5 Stars, especially for only 8.99 per month. It is the same price like a coffee latte but has really much more value :D
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Great workflow tool with a good deal of nodes. Very easy to use. Can create AI app in minutes.
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no free option available... packages shown after spending ..not cool
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Code varies from run to run. Still it is a helpful app. You can specify coding languages that are not in the dropdown menu.
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Since the VSC extension became available, I've been using IDEs just to install the extension and run Claude Code in them. In the peak of my dev frenzy, I was running nine Claude Code instances in three projects on two computers. Cognitive strain was also extreme, but the amount of code and solutions deployed at that time was extreme as well.
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Transform patient data into precise medical codes instantly.Open -
id like to be able to provide my own code. also i dont like that i have to have my own chat gpt membership in order to actually make it work
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Specializes in Customer.io Liquid code, always outputs codeOpen -
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Your front-end web dev assistant with code examples and advice.Open -
Assisting with OpenAPI Schemas through JSON examples, tips and best practices.Open

