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Agent Zero Community Call is happening in 12 hours
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Agent Zero v2.13 is out, plus a Launcher update
This release focuses on the Core: a redesigned sidebar, a round of optimizations, and many fixes across the board. New sidebar organization: Chats and scheduled tasks now live in collapsible project folders. You can filter, sort, reorder with drag and drop, move items between projects, and pin the folders you use most. Deeply nested workers are shown in the sidebar, and subordinate names plus project and profile model presets are preserved when delegating or continuing work. Speed and optimizations: The prompt cache is more stable across turns, and each model call carries less overhead thanks to faster preset and plugin lookups, fewer unnecessary processing steps, and reused Codex connections. Settings save faster while preserving complete API-key pools, escaped and multiline secrets, and masked values across key-name casing changes. Large source files open much faster in the Editor. Files: Breadcrumb and text path modes, folder autocomplete, a configurable starting folder, clickable rows, and inline creation and renaming. Open browsers are reused and picker state is preserved. The UX of the file browser has improved substantially after the recent redesign. Models and providers: Native model commentary is displayed as streamed thoughts and preserved during Responses history replay. Provider refusals are surfaced clearly, and blocked requests are no longer retried automatically. Saved credentials for local model providers are no longer overridden (this was a huge blocker for local model enthusiasts). Integrations: Telegram and WhatsApp slash commands expanded with command menus, permissions, plugin settings, confirmed compaction, transcript exports, and chat selection. Project- and agent-profile-scoped configuration for Telegram, WhatsApp, and Email, with simpler integration settings. Browser, UI, and reliability: Better mobile composer sizing, terminal readability, touch behavior, and settings navigation, with chat controls accessible through overflow menus.
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Agent Zero v2.13 is out, plus a Launcher update
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🧑‍🚀 Meet Space Agent, our newest creation!
Hello everyone, Big announcement today. We are publicly releasing our newest creation — the Space Agent. This agent can completely change the way you use and experience AI agents. Claim your Space and try it now. No install. No configuration. Just your API key or local inference, and that's it -> https://space-agent.ai If you like Agent Zero, share and give us a Star on GitHub, or subscribe on YouTube to keep the momentum going!
[For-Hire] Ready for work | Senior Full Stack & AI Engineer
Hello. I am a full-stack developer specializing in AI automation, agent development, and model development. I am proficient in voice AI, various LLMs, and TTS development. In particular, I can handle the entire software development process, including Web3 integration, third-party API integration, AWS, and product launches. I possess significant experience in various specialized fields, such as internal API testing using SwaggerUI, web or mobile app version management via GitHub, and DNS. If my expertise aligns with your project, please feel free to contact me at any time.
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Collab Opportunity
Hello, We’re looking for a reliable partner (must be based in US, UK, CA, AU, DE, or NZ) to work with our team on a part-time basis. We’re offering a monthly salary of USD 2,000 - 3,000, with flexible working hours and long-term collaboration in mind. No development experience required! Linkcoders focuses on building high-quality, scalable software solutions and value clear communication and consistent delivery. This role would involve working closely with our existing team, contributing to AI Training projects, and collaborating remotely. If this sounds interesting to you, I’d be happy to share more details and discuss how we could work together. Can you contact me at [email protected] to discuss more details? Looking forward to hearing from you. Best regards, Jamey
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How Long-running
Long-running Codex/Claude sessions work best when you stop thinking of them as “one giant conversation” and start treating them as a continuous work process. The idea is to define a clear objective with /goal, let the agent work in cycles: analyze → execute → test → fix → continue — and keep important state outside the conversation in files like goal.md, plan.md, state.md, progress.md, and failures.md. The key rule is: As long as there is a clear, safe next action aligned with the objective, keep going without waiting for new instructions. For runs lasting many hours or even days, the ideal setup is: clear objective + success criteria + state files + compaction + continuous testing + controlled autonomy. And the main conclusion from the 11-day experiment is this: very long sessions can work, but the real limit is not the size of the JSONL file — it is the point where continuity starts to reduce quality, cost efficiency, or operational effectiveness. Examples: https://inematds.github.io/execucao-longa/guia/en/
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How Long-running
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