Open skill for capturing AI agent work as structured traces.
Observability for AI agents. See what your agent did, why it cost that much, and what to fix.
Generate realistic multi-agent workflow traces with LLM-enriched content, semantic validation, and PM4Py compatibility. pip install open-agent-traces
TraceCC gives AI agents a CLI-native long-term memory over their own session history. Searchable, scoped, and sized for context windows.
📚 Curated catalog of agent-training datasets + a toolkit that normalizes, deduplicates, and quality-tiers them into one schema. Produces 🤗 voidful/agent-sft.
Codex plugin that turns long-running agent traces into personalized local audio briefings with OpenAI Realtime TTS
Governed agent runtime reference with policy gates, tool schemas, failure modes, and OpenTelemetry-shaped traces.
Add a description, image, and links to the agent-traces topic page so that developers can more easily learn about it.
To associate your repository with the agent-traces topic, visit your repo's landing page and select "manage topics."