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ampere

by socket-link

Kotlin multiplatform observable AI cognition — structured events for every agent decision

Kotlin
Updated Aug 1, 2026
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Overview

Emit structured, timestamped events for every agent decision to make AI cognition auditable and queryable. Implements an observable 'glass brain' in Kotlin Multiplatform so the same instrumentation runs on JVM, Android and iOS and captures LLM calls, reasoning steps, and handoffs. Exposes rich event schemas that let downstream systems index, visualize, and evaluate agent behavior. This design supports a clear Audit Trail for traceability and aligns with the Model Context Protocol (MCP) for consistent context exchange.

Key Benefits

As agents delegate work and interact, raw logs don't reveal decision intent or trust signals. Observable cognition surfaces the exact steps and metadata needed to build an agent track record and automate A2A evaluation. This project fills a gap by treating each cognitive step as structured telemetry you can feed into reputation systems and continuous evaluation pipelines. The approach is well-suited to architectures like Event-Driven Agent Pattern.

Best For

Mobile and cross-platform teams instrumenting agents for auditing, reputation building, and production monitoring across JVM, Android and iOS. This aligns with patterns that help orchestrate trustworthy agents, such as Semantic Capability Matching Pattern.

Applications

  • Instrument agent reasoning to build an auditable agent track record for reputation systems
  • Stream structured agent events into evaluation pipelines for continuous A2A evaluation
  • Record delegation and failure modes on mobile and backend platforms for postmortems and governance
Works With
openaianthropickotlinjvmandroidios
Topics
aaifagent-orchestrationai-agentsai-observabilityandroidanthropiccognitive-architectureglass-brainiosjvm+7 more
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Keywords
multi-agent trustagent track recordagent-observabilitykotlin-multiplatform