Multi-Agent Context Control
Control what each agent sees in your AI workflow. Define context boundaries, maintain privacy, and build cleaner agent pipelines.
npx ps-lang@alpha init
// Agent A sees this <@. Research findings for Agent B .@> Query results, processed data, clean outputs // Agent A doesn't see this <. Internal notes, debug logs, raw data .> API keys, reasoning chains, test outputs // Agent B receives only what it needs <#. Analysis ready for Agent C .#> Structured insights, recommendations // Privacy by default Each agent sees only its context zone
Why PS-Lang
Precise Control
Define exactly what context each agent receives. No leakage, no contamination.
Agent Privacy
Isolate sensitive data, internal reasoning, and debug information from downstream agents.
Cleaner Pipelines
Build multi-agent workflows with clear boundaries. Research → Analysis → Output.
Multi-Agent Platforms
Control agent-to-agent visibility in automation systems. Grant context permissions explicitly.
Agent Pipelines
Build clean handoffs between specialized agents. Research agents pass findings to analysis agents without debug noise.
Benchmark Testing
Test agent performance without context contamination. Each test run starts clean.
Privacy-First Workflows
Keep sensitive context isolated. API keys, credentials, and internal notes stay hidden from production agents.