by omnirexflora-labs · MCP Server · ★ 241
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
| Stars | 241 |
| Forks | 58 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.7850579835299/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-29 |
| Created | 2025-03-19 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~1032k |
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omnicoreagent is Open Python agent harness for production AI apps: tools, MCP, memory, workspace, telemetry, subagents, background tasks, and OmniServe APIs.. It is categorized as a MCP Server with 241 GitHub stars.
omnicoreagent is primarily written in Python. It covers topics such as agent, agent-harness, ai-agents.
You can find installation instructions and usage details in the omnicoreagent GitHub repository at github.com/omnirexflora-labs/omnicoreagent. The project has 241 stars and 58 forks, indicating an active community.
omnicoreagent is released under the MIT license, making it free to use and modify according to the license terms.