corvinos 0.9.31

CorvinOS — universal, self-contained, cross-platform AI assistant framework

Overview · Architecture · Audit & Compliance · A2A Network · Engine Layer · Security · EU AI Act

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CorvinOS enforces the EU AI Act in code, not in documentation.

Every compliance requirement — disclosure, consent, audit integrity, data residency, egress control, GDPR erasure — is a structural constraint that cannot be disabled by a flag, env var, or config override. Regulated deployments get verifiable guarantees, not policy promises.

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Quick Start

See INSTALLATION.md for the complete setup guide.

Recommended — works identically on Linux, macOS, and Windows:

pip install corvinos
python -m corvinOS        # web console at http://localhost:8765

python -m corvinOS is PATH-independent: it starts the console on the first try on every OS — including Microsoft Store / system Python, where pip install falls back to a per-user scripts directory that is not on PATH (the usual reason corvin-serve is "not found" on Windows). On Windows you can also use py -m corvinOS.

Want the short corvin-serve command on your PATH? Install with pipx — it isolates the app and wires up PATH automatically, on every platform:

pipx install corvinos
corvin-serve              # web console at http://localhost:8765

corvin-serve from a plain pip install only works once its scripts directory is on PATH. Running python -m corvinOS once adds that directory to your PATH, so corvin-serve then works in a new terminal — but pipx (or python -m corvinOS) is the reliable cross-platform path.

The base install is pure-Python and cross-platform — it brings the web console all the way up to setup on Linux, macOS, and Windows, with cloud/edge voice (OpenAI + Microsoft Edge TTS) working out of the box. For local, offline speech models add the optional extra:

pip install "corvinos[voice]"   # local Piper TTS + faster-whisper STT

The voice extra is opt-in because its local-model dependencies (piper-tts, faster-whisper) lack Windows wheels for some Python versions; keeping them out of the base install means pip install corvinos reaches setup reliably on every supported platform.

Requirements: Python 3.10+ · Linux, macOS 12+, or Windows 10/11 · Node.js 20+ required only for bridges

Default engine: Claude Code (Claude Pro or Max subscription required). For fully local, zero-egress deployment: --engine hermes (Ollama, no API key).

# Developer install from source
git clone https://github.com/CorvinLabs/CorvinOS.git && cd CorvinOS
pip install -e ".[all]" && corvin-install

Full documentation: docs/overview.md

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EU AI Act 2026 + GDPR: Structural Enforcement

CorvinOS implements EU AI Act 2026 and GDPR as structural design constraints. Every feature must answer: does this weaken a compliance guarantee?

Mechanism	Layer	Regulation	Enforcement property
Bot Disclosure	L19	EU AI Act Art. 50	One-time per uid · structurally fail-closed · no bypass path
Consent Gate	L16	GDPR Art. 6 & 7	Deny-by-default · TTL-capped · re-validated at every consume
Hash-Chained Audit	L16	GDPR Art. 30 & 32	SHA-256 chain · offline-verifiable · daily auto-verify · chain write failure blocks request
Audit-at-Rest Encryption	L37	GDPR Art. 32	Segment rotation · age/gpg sealing · RFC 3161 TSA timestamping (opt-in) · 7-year retention
Data Classification + Flow Guard	L34	EU AI Act Art. 14	4-stage matrix (PUBLIC/INTERNAL/CONFIDENTIAL/SECRET) · fail-closed at every engine-spawn callsite
Egress Lockdown	L35	EU AI Act Art. 14	Declarative allowed_hosts / forbidden_hosts · default_action=deny EU production preset
GDPR Art. 17 Erasure	L36	GDPR Art. 17	Cross-layer erasure orchestrator · pseudonymous subject IDs · audit trail de-linked, not deleted
Acceptable-Use Gate	L44	EU AI Act Art. 5 & 50	SHA-256-anchored house-rules policy · no disable switch · no tenant override
Compliance-Zone Routing	ADR-0007	EU AI Act Art. 14	allowed_engines / forbid_engines per tenant · data_residency in tenant.corvin.yaml

Absolute constraints — no env var, flag, or config can disable these: disclosure is structurally locked · consent gate has no bypass · every audit event traverses the hash chain before any response · L34 blocks non-compliant engine spawns · L38 audit write failure blocks the A2A request · L44 house-rules gate has no kill-flag.

voice-audit verify              # walk the full hash chain; exits 1 on any break
bridge.sh doctor                # boot self-test with audit chain verification
python -m corvin_compliance_reports.cli generate processing-records   # GDPR Art. 30

Full compliance reference: docs/eu-ai-act/README.md · docs/audit-and-compliance.md

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Core Features

Five WorkerEngines — One Compliance Stack

The WorkerEngine protocol (L22) decouples the LLM backend from the compliance runtime. Every engine shares the path-gate (L10), audit chain (L16), and artifact registration (L33) via the Tool Execution Broker.

Engine	Provider	Key property
Claude Code	Anthropic Claude (Pro/Max)	Full feature set — hooks, skills, MCP, mid-stream inject
Codex CLI	OpenAI	MCP + stream JSON
OpenCode	Ollama, OpenRouter, Google	Provider-agnostic
Hermes	NousResearch via local Ollama	Zero network egress · L34 CONFIDENTIAL-capable · no API key
Copilot CLI	GitHub Copilot Business/Enterprise	Zero incremental cost · worker/delegation only

A2A Agent Mesh with Network Attestation (L38 + ADR-0103)

CorvinOS instances form a decentralized agent mesh. Every cross-instance call carries HMAC-SHA256 signature, bidirectional instance attestation (Protocol v7), nonce replay protection, and binary attachment verification (≤16 attachments, ≤1 MiB). Audit-first invariant: A2A.envelope_received is written to the hash chain before any response is sent. Unknown origins receive unsigned rejections (no oracle for probing attacks).

Security Depth: 39+ Layers

Path-gate hook (L10) · secret vault with bwrap env-injection (L16) · layer integrity protocol with RS256-signed manifest (ADR-0141) · Forge runtime tools in bwrap sandbox (L6) · SkillForge with fail-closed linter (L7) · session lifecycle with audit-first reset (L8) · per-turn task event log with streamed tokens · multi-tenant isolation (ADR-0007) · conversation recall with PII-redaction (L28) · session artifact memory (L33) · DSI v1 external data sources (ADR-0106).

Data Classification + Egress Control

Three-layer defence: ADR-0007 allowed_engines → L34 data_classification.matrix → L35 egress allowed_hosts. EU_PRODUCTION presets ship under operator/bundle/config-templates/. The LLM sees only schema + aggregate stats + k-anonymised sample — raw rows never enter the context window (L24/L32).

Web Console + Multi-Tenant

Browser control plane at http://localhost:8765. Five-scope tenant model: (task, session, project, user, tenant_id). All routes use session-bound tenant_id — no env-var fallback. Full REST API at /v1/console/.

bridge.sh console     # start web console
bridge.sh doctor      # health check + audit verify

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Architecture

Seven bridge daemons (WhatsApp, Telegram, Discord, Slack, Email, Teams, Signal) funnel messages into a shared inbox. The Bridge Adapter enforces ACL, routes to the right persona, runs the TTS pipeline, and grades skills — per-chat-sequential, cross-chat-parallel. The WorkerEngine abstraction swaps the LLM backend without touching the compliance stack.

Full layer breakdown: docs/layer-model.md · Architecture diagrams: docs/diagrams/ · Full documentation: docs/overview.md

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Testing

bash operator/bridges/run-all-tests.sh

Tests span the Python adapter, Node daemon-boot smoke tests, cowork, forge, skill-forge, and all security layers. Tests run hermetically — Claude stubbed via ADAPTER_FAKE_CLAUDE=1, real bwrap where namespace isolation is the subject under test.

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Contributing

By opening a pull request you accept CLA.md. Every merged contribution requires a corresponding entry in CLA-SIGNATORIES.md. See CONTRIBUTING.md for the full workflow.

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License

Licensed under the Apache License, Version 2.0.

"CorvinOS" and "Corvin" are project identifiers per Apache § 6 — the license does not grant trademark rights.