Chronicle
Overview
Local-first AI agent observability platform built in Rust. Timeline view, DAG visualization, cost tracking, OpenAI proxy with semantic caching, and MCP integration. Privacy-focused alternative to LangSmith.
Challenge
Developers building AI agents have zero visibility into execution flow, costs, and errors. Existing tools like LangSmith cost $29-299/mo and send data to external servers.
Solution
Built local-first observability platform with Rust backend (Axum + SQLite) and React 19 frontend. Implemented semantic caching proxy (30-50% cost reduction), fire-and-forget tracing (zero latency), DAG visualization, and MCP server for AI assistant integration.
Impact
29 tests passing (0.11s runtime). 808KB optimized UI bundle. Zero cost local-first architecture. Semantic caching reduces LLM costs 30-50%. MCP integration enables natural language trace queries. 9.5/10 documentation score.