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LibreFang 2026.8.19 Released

LibreFang 2026.8.19 Released 474 PRs from 5 contributors since v2026.7.31. This release is a massive stability and security push. We've closed dozens of data-loss vectors, locked down SSRF, hardened atomic file writes throughout the daemon, and fixed a ton of edge cases that were silently failing or corrupting state. On the feature side: managed configuration mode for self-hosted deployments,…

LibreFang 2026.8.19 Just Released

LibreFang 2026.8.19 is now available, bringing a major push for stability and security. This update comprises 474 PRs from 5 contributors since version 2026.7.31.

The release is packed with improvements to prevent data loss and enhance security. Dozens of data-loss vectors have been closed, SSRF vulnerabilities have been addressed, and atomic file writes have been hardened throughout the daemon. Additionally, numerous edge cases have been fixed, which were previously silently failing or corrupting state.

On the feature side, managed configuration mode is now available for self-hosted deployments. This allows users to own the config.toml file instead of the daemon, ensuring better security and control. The API now reports the config's SHA-256, write status, and the last-modified time, enabling dashboards to render the config as read-only server-side. Moreover, custom providers can opt into live model discovery for self-hosted Ollama or vLLM, allowing automatic refresh of the model list.

Performance enhancements have been made by moving blocking I/O off async workers and adding mutex poison recovery. This ensures that a single panic won't disable half the daemon. The update also includes improved long-form audio transcription, which can now process 20-minute recordings without dropping any data. Windows users will benefit from deduplicated Ogg granule positions, preventing audio loss at boundaries.

The update also brings long-awaited Polish language support, along with restored diacritics in Spanish and French, and added Japanese error keys. Performance-wise, a significant number of blocking filesystem and database operations have been moved off Tokio's async workers. This results in improved configuration reads/writes, SQLite queries, WASM module loads, and PDF extraction. The desktop app has also seen performance improvements, with blocking work offloaded to enhance the overall user experience.

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