OpenCode | The open source AI coding agent — What is OpenCode? OpenCode is an open source agent that helps you write code in your terminal, IDE, or de
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Terminal-Interface, Desktop-App und IDE-Extension Doku lesen Der Open-Source AI-Coding-Agent [*] Mit über 195,000 GitHub-Stars, 950 Contributors und ü
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Mouse Precision Editing Tools for AI Coding Agents HIC Mouse gives AI coding agents precision file editing tools 56% higher accuracy, 58% lower cost,
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Recent Updates - Devin Docs — Vor 2 Tagen · The latest Devin updates: recently released features, improvements, and bug fixes across the product, upda
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GitHub - skyiron/crushAIcodingAgent: The glamourous AI coding … — The quickest way to get started is to grab an API key for your preferred provider su
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AI agent system prompts cannot serve as the sole enforcement layer — guardrails must be implemented at the API gateway and token-permission level, not
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Ctrl k GitBook Assistant Ask License GitHub More Home AutoGPT Platform Integrations Contribute AutoGPT Classic GitBook Assistant GitBook Assistant arr
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About 5-9 years in, they d notice their teams were no longer getting shit done, and then they d call me.
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PowerContext, Context for work that humans and agents hand off and continue 1 project | news.
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LoRA · Hugging Face — We propose Low-Rank Adaptation, or LoRA, which freezes the pre-trained model weights and injects trainable rank decomposition …;
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Vollständige Dokumentation des OpenAmer Plugin-API-Systems. Hooks, Events, Lifecycle, manifest.json Format, Config-Integration und Plugin-Manager.
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Use when the agent needs recursive reasoning, episodic memory retrieval, internet learning, or world-model prediction. Mini-OpenAmer: the 2B hybrid Mamba core with 9 tools, running 24/7 on Damir's laptop.
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Use when the user references past work or you suspect cross-session context exists.
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Run PyTorch training across GPUs with minimal changes.
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Embedding database for RAG and semantic search.
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Import an OpenClaw setup (memories, skills) into OpenAmer.
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Fast vector similarity search at billion scale.
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Zero-shot image classification and image-text search.
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Speed up long-sequence transformer training and inference.
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Fast BPE/WordPiece tokenization and custom vocab training.
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Structured LLM outputs validated with Pydantic.
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Constrain LLM output with grammars; guarantee valid JSON.
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