llms.txt · git:20260824.6d915b2 · 2026-08-24 · sha256 f6ae861c7ffdec3f
llms.txt git:20260824.6d915b2A
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# AIDE Sovereign Workbench > Offline-first, open-source development workbench: real code editor, local AI models, Git review, debugging, and optional online providers — without sending source code to the cloud. ## Key facts - Two-process architecture: browser frontend (Monaco editor) + Node.js daemon on loopback (HTTP/WebSocket, ports 4173/4777). - Cockpit orchestrator UI: Describe -> Plan -> Approve -> Build -> Verify; approval-gated agent loop with diff previews, live git-diff workbench, verification rail. - Model Hub in-app: Hugging Face GGUF search, quantization listing, resumable downloads, one-click engine registration; local import by path. - Harness scaffold v2.1: sized operating layer per model (micro for small contexts, full Code+Lens for strong budgets); byte-deterministic; 20-task effectiveness battery published in docs/evidence/. - Backend auto-select: probes llama-server builds via --list-devices; Vulkan/CUDA/CPU chosen by operator profile > benchmark verdict > hardware heuristic. - Local AI chat via llama.cpp OpenAI-compatible loopback; GGUF weights downloaded separately and SHA-256 verified; never bundled. - LSP client for TypeScript; DAP client for Python/debugpy. Git via CLI. Tasks service with problem matchers. - Online providers opt-in (OpenAI, Anthropic, Gemini, Mistral, Groq, OpenRouter); DPAPI-encrypted credentials; host allowlist. - Veritas evidence gates: models never approve or apply their own changes. - Verified continuously: 188 architecture tests, 17 e2e browser tests, 10/10 doctor preflight, plus unit batteries (facade 12, scaffold 5, agent loop 14+5). ## Links - Repository: https://github.com/AnonymousNomad/aide-sovereign-workbench - License: Apache-2.0 (LICENSE) - Security: SECURITY.md - Contributing: CONTRIBUTING.md - Roadmap: docs/RELEASE_ROADMAP.md - Research log: docs/RESEARCH_LOG.md - Model packs: models/PACKS.md - Benchmarks: benchmarks/ - Docs: docs/