Python framework for horizontally-scalable, agent-native apps. A three-tier cache — SQLite, NATS KV, PostgreSQL — keeps state coherent across pods. Observable by default.
Result pattern for .NET that replaces exceptions with type-safe return values. Features railway-oriented programming, ASP.NET Core integration, RFC 7807 Problem Details, and built-in pagination. Designed for production systems requiring explicit error handling without the overhead of throwing exceptions.
The model-agnostic execution layer for AI agents: scoped routing and delegation, isolated worktrees, evidence, observability, and learning loops. The stack, not another wrapper. Seven executors — Claude Code, Codex, Cursor, opencode, DeepSeek Harness, Hermes, Pi — under one metered contract.
An enterprise-grade Spring Boot framework for stateless Model Context Protocol (MCP) servers in Java (MCP 2026-07-28). OAuth2 resource server, per-handler authorization, OpenTelemetry, Jakarta Validation, audit logging, GraalVM native-image — all opt-in via a one-dependency feature-module pattern.
Trace Pi coding agent sessions with Langfuse — agent turns, model generations, token usage with cache and reasoning splits, cost, tool calls, and nested subagents.
Collector-free telemetry for Laravel: Prometheus metrics, OTLP traces and events. No C extension, no protobuf, no sidecar — metrics that actually work under FPM.