Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex…
Tag
#llm-orchestration
MCP servers, skills and plugins tagged “llm-orchestration” on GitHub.
11 entries · real GitHub data
- #2Cccc
Coordinate your coding agents like a group chat — read receipts, delivery tracking, and remote ops from your phone. One pip install, zero infrastructure. A production‑minded…
- #3MassGen
MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce…
Development workflows for Claude Code that keep broad exploration focused on the outcome you approved.
AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use,…
Build for agents — from the AI Gateway to the entire application stack.
Multi-model AI orchestration where behaviour is Markdown, not code. One coordinator routes scoped task packets to 71 role-based specialists across 5 model families (Codex /…
AI agents that write code, review each other's work, and coordinate across your machines
Run DeepSeek as a real sub-agent inside Claude Code / Codex CLI — with its own 7-tool agent loop, workspace-scoped file access, and bounded Bash.
Development workflows for Codex that keep technical rigor and edge-case handling from becoming product overengineering.
