Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly transcription workflows and speech output — source available on GitHub.
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AI / Catalogue record

Catalogue record
github.com
NixOS distribution where an AI agent has root through 91 typed MCP tools. 9 Rust daemons (system bridge, atomic SafeSwitch deploys with auto...
Field notes
NixOS distribution where an AI agent has root through 91 typed MCP tools. 9 Rust daemons (system bridge, atomic SafeSwitch deploys with auto-rollback, hash-chained audit ledger, AES-256-GCM crypto wallets, NoiseXX + ML-KEM-768 P2P mesh, local STT/TTS, MCP server lifecycle, system learning, domain-allowlisted egress proxy) communicate over Unix sockets.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly transcription workflows and speech output — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly transcription workflows and speech output — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
GitHub / bolivian-peru/os-moda
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