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Provide local locks, shared state, events, and task queues for AI agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "io.github.adamorad/airlock" yet — see the docs or source repo.
Use Airlock to design a workflow for three AI agents: Agent A fetches data, Agent B cleans it, and Agent C generates the report. Use named locks to prevent simultaneous writes to the same output file, and track each step with shared state.
A multi-agent coordination plan using locks and shared state, including task order, concurrency control, and progress tracking.
Explain how to use Airlock events and the task queue for an event-driven flow: when a new file appears in a directory, trigger a parsing task, then trigger a summarization task after parsing, with retries on failure.
An event-driven task orchestration approach covering triggers, queue flow, retry handling, and state updates.
I have a locally running AI agent system where multiple agents access the same cache and configuration. Design a concurrency protection mechanism with Airlock, including lock naming conventions, shared state structure, and ways to avoid deadlocks.
A concurrency control design that helps local agents safely share resources and reduce conflict risks.
Redact secrets from AI agent traces for safe storage and sharing.
Provide version-pinned API context from OpenAPI specs for AI coding agents.
Coordinate exclusive resource claiming, releasing, and listing across multiple AI agents.
Coordinate multiple AI agents safely on the same codebase in real time.
Give AI coding assistants persistent memory, project tracking, and structured handoffs.
Coordinate multiple coding agents safely within the same repository.