A shared memory, attribution & governance layer for AI coding agents. Not an orchestrator — a blackboard.
One-click remote dev/ops platform — browser VS Code + 5 AI CLIs + Octopus Blackboard, as an AWS/Azure Marketplace image.
Octoryn Web Ingestion Engine: governed, auditable, AI-native web/PDF ingestion
Observe: standalone, governed, auditable intake and normalization — raw external events into trusted, canonical, immutable observations.
The shared Evidence primitive for the Octopus stack — canonical, hashable, tamper-evident evidence that flows between repos.
Make every incident byte-for-byte reproducible. A determinism harness for governed event streams.
Catch governance holes before production does. A static governance linter for AI agent workspaces.
Standalone governed execution runtime: trigger to result across autonomy, policy, approval, connector, execution, and audit boundaries.
Governed LinkedIn marketing over MCP — draft, review, publish, comment, and AI-write (Anthropic/OpenAI/Gemini) via the official LinkedIn API. MCP server + CLI.
Project Memory — organizational, causal memory for AI teams. Ask why, not just what.
The governed work-state layer: a task is a verifiable provenance chain, not a to-do.
To associate your repository with the octoryn topic, visit your repo's landing page and select "manage topics."