Status line for AILANG sprint work: the most recently touched in-progress sprint under .ailang/state/sprints, its milestones passed and the next one.

Quick start package for using AILANG with Claude Code and OpenAI Codex.
AILANG is a deterministic programming language designed for AI code synthesis and reasoning.
Install the AILANG CLI before installing either agent integration:
curl -fsSL https://ailang.sunholo.com/install.sh | bash
ailang --version
The plugins invoke the local ailang executable, so it must be available on PATH.
# Step 1: Add the marketplace
/plugin marketplace add sunholo-data/ailang_bootstrap
# Step 2: Install the plugin
/plugin install ailang@sunholo-data/ailang_bootstrap
Or clone and add locally:
git clone https://github.com/sunholo-data/ailang_bootstrap
/plugin marketplace add ./ailang_bootstrap
/plugin install ailang@ailang_bootstrap
Codex requires Node.js 18 or newer for the local MCP server:
node --version
codex plugin marketplace add sunholo-data/ailang_bootstrap --ref stable
codex plugin add ailang@ailang-marketplace
codex plugin list
Start a new Codex session after installation. Alternatively, add the marketplace with the CLI, then install AILANG through /plugins or the Codex desktop Plugins directory.
Codex loads the shared skills and five local MCP tools: ailang_prompt, ailang_check, ailang_run, ailang_builtins, and ailang_eval.
Download a platform-specific release from GitHub Releases:
| Platform | Architecture | Asset |
|---|---|---|
| macOS | Apple Silicon | darwin.arm64.ailang-bootstrap.tar.gz |
| macOS | Intel | darwin.x64.ailang-bootstrap.tar.gz |
| Linux | x64 | linux.x64.ailang-bootstrap.tar.gz |
| Windows | x64 | win32.x64.ailang-bootstrap.zip |
Each release includes the AILANG binary pre-bundled.
| Skill | Purpose |
|---|---|
| ailang | Write, run, and develop with AILANG |
| ailang-inbox | Cross-agent messaging with semantic search, deduplication, and GitHub sync |
| Command | Purpose |
|---|---|
/ailang-prompt | Load syntax teaching prompt (do this first!) |
/ailang-run <file> | Run an AILANG program |
/ailang-check <file> | Type-check without running |
/ailang-new <name> [template] | Create new program from template |
/ailang-repl | Start interactive REPL |
/ailang-builtins [search] | List builtin functions |
/ailang-editor <editor> | Install syntax highlighting |
| Hook | Event | Purpose | |||
|---|---|---|---|---|---|
session_start.sh | SessionStart | Inbox check + brain context | |||
brain_session.sh | SessionStart | Inject relevant brain knowledge | |||
git_guard.sh | PreToolUse(Bash) | Block destructive git ops | |||
microrag_context.sh | PreToolUse(Edit\ | Write\ | Read\ | MultiEdit) | JIT μRAG knowledge injection — surfaces AILANG syntax/builtin docs at tool-call time |
microrag_lint.sh | PostToolUse(Edit\ | Write\ | MultiEdit) | First-use builtin nudge for *.ail edits | |
brain_resolution.sh | PostToolUse(Bash) | Capture command resolutions | |||
observatory_hook.sh | All events | OTEL telemetry for AILANG Observatory |
Disable μRAG: export AILANG_MICRORAG_ENABLED=0. Requires ailang and jq on PATH; degrades silently if either is missing.
μRAG brain corpus auto-bootstrap: install.sh runs ailang micro-rag init && ailang micro-rag bootstrap --scope user --no-embed after the binary lands. This populates the brain DB at ~/.ailang/state/brain.db with the ailang-syntax (~50 frames) and ailang-builtins (~280 frames) namespaces using only resources embedded in the binary — no source repo required. Works on Windows / minimal Docker images / anywhere awk and python3 are absent.
Re-run manually after install.sh to upgrade the corpus to embedding-backed retrieval (requires Ollama):
ailang micro-rag bootstrap --scope user # add embeddings on top of SimHash/FTS
ailang micro-rag bootstrap --scope user --reset # full rebuild (use after AILANG version bump)
A live pane that shows what you're writing as AILANG sees it. After every Edit/Write of a .ail file it runs ailang iface and ailang check and draws the module's functions, their types and effect rows (pure or !{IO,FS}), plus any type errors — keeping the last good signatures on screen beside a broken edit. The status line carries a one-line summary.
/plugin install ailang-lens@ailang-marketplace
/reload-plugins
/ail-lens [file.ail] # open the pane, or analyse any file into it
Mods are an early-access Claude Code feature; where they are not enabled the plugin installs but does nothing. Requires ailang on PATH.
1. Local stdio MCP (auto-installed by this plugin) — wraps the local AILANG CLI for actually running/checking code:
ailang_check - Type-check filesailang_run - Run programsailang_prompt - Get teaching prompt (embedded copy)ailang_builtins - List builtinsailang_eval - Evaluate an expression in the non-interactive REPL2. Remote HTTP MCP at mcp.ailang.sunholo.com — version-locked live docs, stdlib, examples, design docs, benchmarks. Available to any agent harness that supports remote MCP (Claude Desktop, Cursor, Cline, Continue, Claude Code).
{
"mcpServers": {
"ailang-docs": {
"url": "https://mcp.ailang.sunholo.com/mcp/",
"transport": "streamable-http"
}
}
}
Tools include prompt_get, stdlib_modules, stdlib_search, examples_for_concept, limitations_list, effects_catalog, and submit_feedback (for filing AILANG bugs from inside an agent session). Use these to avoid stale embedded knowledge — the snapshot is rebuilt and redeployed on every AILANG release.
See docs/guides/agent-mcp for the full tool catalog.
Once installed, you can:
# CRITICAL: Load syntax before writing code
ailang prompt
# Run AILANG code
ailang run --caps IO --entry main program.ail
# Start interactive REPL
ailang repl
# Type-check without running
ailang check program.ail
module myproject/hello
export func main() -> () ! {IO} {
print("Hello, AILANG!")
}
Run with:
ailang run --caps IO --entry main hello.ail
func - NOT fn, function, or deflet x = 1; let y = 2; x + y=> - NOT : or ->print expects string - Use print(show(42)) for numbersailang_bootstrap/
├── .claude-plugin/
│ ├── plugin.json # Claude Code plugin manifest
│ └── marketplace.json # Skills marketplace
├── .codex-plugin/
│ └── plugin.json # Codex plugin manifest
├── .mcp.json # Codex MCP configuration
├── .claude/commands/ # Slash commands
│ ├── ailang-run.md
│ ├── ailang-check.md
│ ├── ailang-new.md
│ └── ...
├── mcp-server/ # MCP server for AILANG tools
│ ├── server.js
│ └── package.json
├── skills/
│ ├── ailang/ # Main AILANG skill
│ │ ├── SKILL.md
│ │ └── resources/
│ └── ailang-inbox/ # Agent messaging skill
│ └── SKILL.md
├── bin/ # AILANG binary (in releases)
└── .github/workflows/
└── release.yml # Platform-specific release builds
MIT License - see LICENSE
hooks/register.ts 61 lines1import type { EngineInterface, Register } from 'claude-code'
2
3const DIR = '.ailang/state/sprints'
4const MIN_GAP_MS = 30_000
5
6type Sprint = { sprint_id?: string; status?: string; features?: { id?: string; passes?: boolean | null }[] }
7
8/** Pure: the status-line text for one sprint, or undefined when it is not in progress. */
9export function summarise(sprint: Sprint): string | undefined {
10 if (sprint.status !== 'in_progress') return undefined
11 const features = sprint.features ?? []
12 const passed = features.filter(f => f.passes === true).length
13 const next = features.find(f => f.passes !== true)?.id
14 return `sprint ${sprint.sprint_id ?? '?'} ${passed}/${features.length}${next ? ` · ${next}` : ''}`
15}
16
17let lastRun = 0
18
19async function refresh($: EngineInterface): Promise<void> {
20 const now = await $.clock.now()
21 if (now - lastRun < MIN_GAP_MS) return
22 lastRun = now
23
24 const root = await $.session.cwd()
25 let entries
26 try {
27 entries = (await $.fs.list(`${root}/${DIR}`)).filter(f => f.kind === 'file' && f.name.endsWith('.json'))
28 } catch {
29 $.ui.status(undefined) // not an AILANG checkout
30 return
31 }
32 for (const f of entries.sort((a, b) => b.mtimeMs - a.mtimeMs).slice(0, 10)) {
33 const path = `${root}/${DIR}/${f.name}`
34 try {
35 const text = summarise(JSON.parse(await $.fs.read(path)) as Sprint)
36 if (text) {
37 $.ui.status(text)
38 return
39 }
40 } catch {
41 // a half-written or hand-edited file: skip it
42 }
43 }
44 $.ui.status(undefined)
45}
46
47export const register: Register = on => {
48 lastRun = 0
49
50 on('session.start', async ($, e, next) => {
51 await refresh($).catch(() => undefined)
52 return next(e)
53 })
54
55 on('turn.complete', async ($, e, next) => {
56 const done = await next(e)
57 await refresh($).catch(() => undefined)
58 return done
59 })
60}
61