aiperceivable

aiperceivable/apflow

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High-Quality Code Specification – Simplicity First.

aiperceivable/apflow

Instructions file GitHub Copilot

Copilot instructions for aiperceivable/apflow, covering project overview, core principles, python code quality, readability and types (mandatory).

aiperceivable/apflow

Instructions file CodexOpenCode

AGENTS.md instructions for aiperceivable/apflow, covering project overview, dual model: structure tree + execution dag, five task creation modes, v2 architecture (0.20.0) and key dependencies (embedded, not external layers).

aiperceivable/apflow

Instructions file

Claude Code instructions for aiperceivable/apflow, covering project overview, dual model: structure tree + execution dag, five task creation modes, v2 architecture (0.20.0) and key dependencies (embedded, not external layers).

aiperceivable/apcore-mcp-python

MCP server Claude CodeCodexCursor

Automatic MCP Server & OpenAI Tools Bridge for apcore. Runs locally from the apcore-mcp Python package.

aiperceivable/apcore-mcp-typescript

MCP server Claude CodeCodexCursor

Automatic MCP Server & OpenAI Tools Bridge for apcore. Runs locally from the apcore-mcp npm package.

aiperceivable/flask-apcore

MCP server Claude CodeCodexCursor

Flask Extension for apcore AI-Perceivable Core integration, exposes Flask routes as MCP tools with auto-discovery, schema inference, YAML binding, and built-in observability. Supports MCP server (stdio/HTTP) for LLM tool integration. Runs locally from the flask-apcore Python package.

aiperceivable/hono-apcore

MCP server Claude CodeCodexCursor +2

Hono adapter for the apcore AI-Perceivable module ecosystem. Runs locally from the hono-apcore npm package.

aiperceivable/fastapi-apcore

MCP server Claude CodeCodexCursor +2

FastAPI integration for apcore AI-Perceivable Core — exposes FastAPI routes as apcore modules with auto-discovery, schema extraction from Pydantic models, and OpenAPI-based scanning. Runs locally from the fastapi-apcore Python package.