affaan-m/ECC
ECC is a comprehensive agent harness performance optimization system providing skills, instincts, memory, security, and research-first development for various AI agent harnesses including Claude Co...
agentic-mcp-tools/owlex
Owlex is a Python MCP server whose tools are other AI models. From inside Claude Code, it forwards a question to Codex, Gemini, OpenCode, ClaudeOR or AiChat by driving their command-line interfaces, and returns their answers as tool results. Beyond single queries it implements a structured council: in round one each agent answers the question independently, without seeing the others; in round two each agent is shown all round-one answers and may revise its position; then Claude synthesises a final structured response from the whole exchange. The design rationale is that different models have different blind spots, and that disagreement surfaced explicitly is more informative than a single confident answer — which is also why the README recommends it selectively, for architecture decisions and hard debugging rather than routine questions. Because it drives existing CLIs, it uses whatever authentication those tools already have on the machine, with no separate API keys to configure. Installation is a uv tool install from the repository; it requires Python 3.10 or newer and is MIT licensed. The audience is developers who already have several AI CLIs installed and want a second and third opinion without leaving their primary session, and who are willing to pay several model invocations for higher confidence on a consequential decision.
https://github.com/agentic-mcp-tools/owlex
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