Best AI Tools
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Anika G🙏 2 karmaJun 8, 2026@Edge ArenaBeen playing around with Edge Arena and I like the concept of comparing different AI approaches before committing to one. It’s useful for turning ideas into more actionable plans, and the focus on execution rather than just brainstorming makes it stand out from a lot of other AI tools. -

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I've been using multiple AI digital twins built on BuddyPro and it's honestly transforming my life. -

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Open
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Open
Most AI tools start from zero. You paste in context, re-explain your work, and hope the output is relevant. Every. Single. Time. remio is different. It automatically captures everything you work on — web pages you browse, documents you read, meetings you record, emails you send — and turns it all into a living, private knowledge base. No manual tagging. No copy-pasting. No setup. Then, when you need to get something done, remio already knows your context. Write a doc, draft an email, generate a report, create slides — just tell it what you need. It pulls from your actual work history to produce output that's genuinely relevant to you. What makes remio different: 🧠 Passive, automatic context capture — works silently in the background 🔒 Local-first & privacy-focused — your data stays on your device ⚡ BYOK support — bring your own API key from OpenAI, Google, DeepSeek and more 🖥️ Local model support via Ollama 📎 Connects to Gmail, Google Docs, local files, YouTube, and more 🛠️ Build reusable aApp workflows powered by your own knowledge This is not another note-taking app. This is your personal agent — one that already knows your world. From knowledge to getting things done. 👉 Try remio today. -
The workspace where memory, agents and creative studios share one canvas.Open
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Its a promising project and works well so far. Wishing them all the best and godspeed. -

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Hello! Thor here, creator of Axell. We're the first generative AI application with real-time sync for multiple users, happy to answer any questions. -

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Claude — v5.0Claude Fable 5 State-of-the-art on Cognition's FrontierCode eval, scoring highest among frontier models even at medium effort. More token-efficient than prior Claude models. Stripe reported a codebase-wide migration on a 50M-line Ruby codebase done in a day, versus an estimated two-plus months by hand. Highest score of any model on Hebbia's Finance Benchmark (senior-level reasoning), with major gains in document reasoning, chart and table interpretation, and problem solving. IMC reported near-across-the-board top results on trading-analysis evals (factual lookup, conceptual reasoning, root-cause analysis, expected-value analysis). New state-of-the-art for vision tasks. Extracts precise numbers from scientific figures and can rebuild a web app's source code from screenshots alone. Needs less scaffolding: beat Pokémon FireRed with a minimal vision-only harness, where earlier models needed complex helper harnesses. Stays focused across millions of tokens on long-running tasks and improves its outputs using its own notes. With persistent file-based memory in Slay the Spire, performance improved 3x more than Opus 4.8, and it reached the final act 3x more often. Works autonomously for longer than any prior Claude model
