ainl

# AINL for Hermes Agent **AINL** is an AI-native language that compiles **deterministic graphs**. In Hermes Agent, use it to import workflows, compile them, run them, and expose **`ainl-mcp`** tools to the agent for safe, repeatable execution. **Package:** `ainativelang` **v1.8.0** (this tree; **PyPI** after publish — **`docs/RELEASING.md`**). Optional extras: `[mcp]`, `[solana]`. ## Agent instructions Follow this skill when the user is on **Hermes Agent** (or wants a **closed learning loop** on top of **deterministic `.ainl` graphs**). Prefer **`./install.sh`** from a checked-out skill folder, or the manual path: `pip install 'ainativelang[mcp]' && ainl install-mcp --host hermes` After bootstrap, suggest the prompt below when it fits. ## When to use this skill - The user wants **portable, compiled workflows** (`.ainl`) instead of ad-hoc prompt loops. - They mention **import**, **compile**, **skills**, **learning loop**, or **MCP**. - They want Hermes to evolve behavior while keeping a strict, checkable graph source of truth. ## Install (pick one) 1. **From this skill directory:** run `./install.sh` That upgrades `ainl[mcp]` (if needed), installs a skill folder to `~/.hermes/skills/ainl/`, and wires MCP via `ainl install-mcp --host hermes`. 2. **Manual:** `pip install 'ainativelang[mcp]' && ainl install-mcp --host hermes` ## After install — prompt suggestion Tell the user they can say in Hermes: > Import the morning briefing using AINL. ## MCP Hermes reads MCP config from `~/.hermes/config.yaml` under `mcp_servers`. The host should run **`ainl-mcp`** as a stdio MCP server. `ainl install-mcp --host hermes` merges that entry when missing. ## Bridge (optional) This pack includes `ainl_hermes_bridge.py` as a lightweight utility for: - writing AINL trajectory/audit tapes into Hermes-friendly local memory files - exporting Hermes-evolved behaviors back into `.ainl` (so you can re-run `ainl check --strict`)