{"repo":"omnirexflora-labs/omnicoreagent","free":true,"listed":false,"github":"https://github.com/omnirexflora-labs/omnicoreagent","clone":"git clone https://github.com/omnirexflora-labs/omnicoreagent.git","description":"Open Python agent harness for production AI apps: tools, MCP, memory, workspace, telemetry, subagents, background tasks, and OmniServe APIs.","language":"Python","stars":245,"topics":["agent","fastapi","mcp","multi-agent-systems","orchestration","harness","harness-engineering","runtime","agent-harness","ai-agents"],"license":"MIT","category":"ai-agents","readme_excerpt":"OmniCoreAgent The Open Production Agent Harness for Python Parallel tool batches, structured observations, signature loop detection, MCP tools, memory, workspace files, subagents, background tasks, and REST/SSE serving. What It Is - Quick Start - Choose Your Path - Use Cases - Why It Matters - Install - Cookbook - Features - Docs - Ask AI --- What It Is An LLM is not an agent by itself. The model provides intelligence; the harness gives that intelligence a working environment. OmniCoreAgent is the application-facing harness layer around a model: That is the difference between an agent harness and a generic agent library. A library gives you pieces to assemble. A harness gives you the runtime boundary that makes a model usable inside an application. OmniCoreAgent keeps that boundary explicit: Layer What It Owns ------- -------------- Agent harness Model loop, prompt contract, tools, observations, memory, context, workspace, guardrails, events, subagents Serving boundary OmniServe REST/SSE APIs, request lifecycle, readiness, auth, rate limits, metrics Background boundary Durable scheduled/manual task execution with task state, run history, leases, retries, and workspace output External tool boundary MCP server tools and local Python tools exposed through one runtime surface Start with the core harness. Turn on heavier production pieces only when the workload needs them. If you prefer guided docs, start with the Quick Start. If you use AI coding tools, use the AI tools guide for","default_branch":null,"files":null,"tree":[],"storefront":"/r/omnirexflora-labs","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/omnirexflora-labs/omnicoreagent/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}