by omnirexflora-labs · MCP 服务器 · ★ 252
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.
| Stars | 252 |
| Forks | 57 |
| Language | Python |
| Category | MCP 服务器 |
| License | MIT |
| Quality Score | 69.8421728339848/100 |
| Last Updated | 2026-10-09 |
| Created | 2025-03-19 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~18k |
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omnicoreagent is An agent runtime for Python. Give your agent real work. Keep control: every action checked before it runs, every run survives a crash without silently redoing anything, every step on the record.. It is categorized as a MCP 服务器 with 252 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 252 stars and 57 forks, indicating an active community.
omnicoreagent is released under the MIT license, making it free to use and modify according to the license terms.