{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/11"}],"enrichment":{"capability":"Aegra API is a self-hosted Agent Protocol server that runs AI agent graphs on your own infrastructure, compatible with LangGraph SDK and providing streaming, human-in-the-loop workflows, and scheduled cron job execution.","skillfed_tags":["agent-protocol","self-hosted","langgraph"],"use_cases":["Deploy proprietary AI agents on internal infrastructure without reliance on third-party agent hosting platforms.","Build multi-turn conversation systems with thread-based state management and human approval gates.","Schedule recurring agent tasks (e.g., daily reports, periodic data processing) with cron-like triggers.","Integrate LangGraph workflows into production systems via REST API with streaming response support.","Monitor and trace agent execution with OpenTelemetry observability and Prometheus metrics."],"what_it_does":"Aegra API is a FastAPI-based server that hosts and executes AI agent graphs defined using LangGraph, providing a self-hosted alternative to vendor-locked services. It implements the Agent Protocol standard, making agents compatible with tools like Agent Chat UI and LangGraph Studio. The package handles agent lifecycle management\u2014creating assistants from graph definitions, managing conversation threads, executing runs synchronously or with streaming, and canceling in-flight executions. It includes built-in support for human-in-the-loop approval workflows and scheduled cron job triggers with timezone awareness and multi-instance safety.\n\nThe server stores agent state and conversation history in PostgreSQL, offers semantic search via a vector store, and integrates observability through OpenTelemetry with exporters for tracing and metrics. It requires substantial infrastructure\u2014a PostgreSQL database, Redis for caching, and configured LangGraph agent graphs\u2014making it suited for teams deploying agents on their own servers rather than using managed platforms. The dependency stack includes SQLAlchemy for ORM, Pydantic for validation, and Prometheus instrumentation for monitoring.","worth_installing":"Yes, if you need to self-host LangGraph agents and have PostgreSQL infrastructure available. The package is actively maintained, has no known vulnerabilities, and provides a complete Agent Protocol implementation with production-ready features (streaming, cron jobs, observability). Install friction is low. The substantial dependency footprint and requirement for PostgreSQL setup are expected trade-offs for a self-hosted server, not drawbacks. Not suitable if you prefer managed agent hosting or lack infrastructure to run PostgreSQL."},"id":"aegra-api","links":{"html":"https://skillfed.io/packages/aegra-api","md":"https://skillfed.io/packages/aegra-api.md","pypi":"https://pypi.org/project/aegra-api/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-12","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"aegra-api","python_support":"supports_current","summary":"Aegra core API - Self-hosted Agent Protocol server"},"popularity":{"monthly_downloads":85991,"position":13890,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.10.0"}