a0
Provides A0 language tools to Amp through the local stdio server and skill integration.
Provides A0 language tools to GitHub Copilot, VS Code / GitHub Copilot, and GitHub Copilot CLI through MCP configuration and skills.
Provides A0 language tools to Hugging Face smolagents and tiny-agents via local stdio server.
Provides A0 language tools to JetBrains AI Assistant and Junie through MCP configuration and skills.
Provides A0 language tools to OpenAI Codex CLI/IDE via local stdio server.
Provides A0 language tools to the Perplexity Mac app through a local connector.
Provides A0 language tools to Warp through .warp/.mcp.json MCP configuration.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@a0open sq.a0 and add a function that squares a u32"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A0
The programming language built for AI, not for people. a0lang.com · Docs
A0 is a compact, exactly specified language that models write and edit through revision-checked structured edits. A model reads only what an edit touches, writes only the changed lines, and nothing invalid lands. One program compiles to native machine code (A0's own AArch64 code generator, or C), the browser (wasm32), JavaScript, the JVM, .NET, Metal GPU kernels, and clocked SystemVerilog, and every target is verified against one oracle.
Measured on the repository's benchmarks (Apple M3, 8 cores, results/*.json). The machine was not quiet: results/exec-benchmark.json records a 1/5/15-minute load average of 6.4-8.0 for the main and arm64 runs and 32-40 for the JavaScript remeasurement; a quiet-machine rerun is pending:
Native A0 vs hand-written C | 1.00x time per call (parity) |
Native A0 vs Python / JavaScript | 174x / 8.0x faster (geometric mean, 10 kernels) |
Tokens a model reads per edit | 7.3x fewer than reading the whole file |
Languages benchmarked, checksum-verified | 48 (9 tie A0 within 5%, the rest slower) |
Oracle cases passing on every target | 5262 / 5262 |
Optimizer proved equivalent (Z3) | 48 / 48 corpus functions |
Whole-task tokens vs TypeScript | 3.0x cheaper in a 40-function program; 1.46x more on single-function tasks (both published) |
The site a0lang.com is itself two A0 programs (site/page.a0, site/docs.a0).
See DESIGN.md for intent and
semantics, MODEL_GUIDE.txt for the AI-facing language
instructions, STATUS.md for the current results, loss ledger, known limits, and next actions
(session history in docs/history/), and results/ for machine-readable evidence.
Install
A0 is a single self-contained binary: no Node, no Bun.
# macOS / Linux: Homebrew (this repository is the tap; no separate tap repository)
brew tap Joe-Simo/a0 https://github.com/Joe-Simo/a0
brew install a0
# macOS / Linux: script (detects OS/arch, verifies SHA-256, installs to ~/.local/bin)
curl -fsSL https://raw.githubusercontent.com/Joe-Simo/a0/main/install.sh | sh# Windows (installs to %LOCALAPPDATA%\Programs\a0 and adds it to your user PATH)
irm https://raw.githubusercontent.com/Joe-Simo/a0/main/install.ps1 | iexBoth scripts accept A0_VERSION=v0.8.16 to pin a release and A0_INSTALL_DIR to change the destination. Or download a binary from the latest release by hand and check it against checksums.txt. a0 --version prints the release and compiler version. Then:
printf 'fn sq u32 -> u32\na mul p0 p0\nret a\nend\n' > sq.a0
a0 run sq.a0 sq 12 # 144
a0 emit arm64 sq.a0 # A0's own machine code; or c, js, java, sv
a0 check sq.a0 # diagnostics with codes; --json for fields, --fix applies the exact fixes
a0 explain A0102 # what a diagnostic means, with a failing and a fixed exampleBinaries: a0-darwin-arm64, a0-darwin-x64, a0-linux-x64, a0-linux-arm64, a0-windows-x64.exe. A C compiler (clang or gcc) is needed only to link native output on your machine.
Related MCP server: machine-mcp
MCP server
a0 mcp <file-or-dir> serves A0 to AI agents over stdio (Model Context Protocol), so they edit through tools instead of text files: a0_open (function view with a handle), a0_program (program handle, optionally scoped to a target), a0_apply (edit under a handle; returns the new view or a diagnostic with code (class), id (A0nnnn), message, expected/actual, fix and applicability; the reply fix all applies every exact fix of the last rejected edit, atomically), a0_check, a0_run (reference interpreter, fuel-bounded), a0_emit (any target), a0_save (only after a successful apply). Paths are confined to the launch root (symlink escapes and use escapes rejected); no shell is run; output is bounded.
Language server
a0 lsp [root] is a Language Server Protocol server over stdio (built on vscode-languageserver; --stdio is accepted and ignored). Point any LSP client at it for .a0 files: diagnostics on open and change from the linker and checker (the diagnostic code is the class, data carries the table code id, the fix and its applicability, and an exact fix is a quick fix), hover (function signatures, op docs), go-to-definition across use files, document symbols, completion of ops and in-scope functions, and formatting through the canonical printer. Files are confined to root (default: the working directory) exactly as in the MCP server; a document outside it gets one limit diagnostic and nothing else.
Use with AI agents
Put a0 on your PATH first (see Install). Every entry below runs the same local stdio server, a0 mcp <dir>, with no hosting and no account. Ready-to-copy configs are in integrations/. The Agent Skill in skills/a0/ (install with npx skills add Joe-Simo/a0) teaches the language and loads the primer and the edit protocol only when they are needed.
Agent | Install | Local stdio |
Claude Code |
| yes |
Claude Desktop | Double-click | yes |
Claude.ai | Zip | skill only |
Cursor | Add to Cursor, or | yes |
VS Code / GitHub Copilot |
| yes |
GitHub Copilot CLI |
| yes |
OpenAI Codex CLI/IDE |
| yes |
Gemini CLI |
| yes |
Qwen Code |
| yes |
Windsurf / Devin Desktop |
| yes |
Devin CLI |
| yes |
Zed |
| yes |
Cline |
| yes |
Roo Code |
| yes |
Kilo Code |
| yes |
Continue |
| yes |
JetBrains AI Assistant / Junie | Settings > Tools > AI Assistant > MCP, paste | yes |
Augment |
| yes |
opencode |
| yes |
Amp |
| yes |
Goose |
| yes |
Warp |
| yes |
Crush |
| yes |
Factory Droid |
| yes |
Grok Build CLI (xAI) |
| yes |
Mistral Vibe CLI | yes | |
Kimi CLI |
| yes |
LM Studio |
| yes |
Perplexity (Mac app) | Connectors > Add > Simple: | yes |
Hugging Face smolagents |
| yes |
Hugging Face tiny-agents |
| yes |
Aider | No MCP. | no MCP |
Open WebUI (Ollama) | Streamable HTTP only; A0 does not ship a hosted server | needs remote MCP |
ChatGPT (developer mode / Apps) | Remote HTTPS only | needs remote MCP |
Mistral Le Chat | Remote connectors only | needs remote MCP |
xAI Grok API | Remote MCP tool only (HTTP/SSE) | needs remote MCP |
Replit Agent, Bolt.new, Lovable, v0 | Remote HTTPS only | needs remote MCP |
Replace . with the folder the server may read and write when your agent does not start servers in the project folder.
Project rules, hooks and CI
a0 init [dir]writesAGENTS.md(read by Codex, Cursor, Copilot, Jules and others) with the MCP tool workflow, the edit protocol and the primer path (.a0/MODEL_GUIDE.txt, copied in when available, otherwise the GitHub URL), plus@AGENTS.mdpointers inCLAUDE.mdandGEMINI.md, glob rules for Cursor (.cursor/rules/a0.mdc), Windsurf (.windsurf/rules/a0.md) and Copilot (.github/instructions/a0.instructions.md), and a Gemini CLIAfterToolhook (.gemini/settings.json). Existing instruction files get the A0 section appended once; other existing files are kept.a0 hookis the after-edit check: it reads a hook's tool-call JSON on stdin and, when an edited*.a0file failsa0 check, prints a blocking response whose reason is the exact diagnostic with itsfix:.Claude Code plugin (
plugin/): aPostToolUsehook onEdit|Write|MultiEdit(plugin/hooks/hooks.json, runsa0 hook; setA0_BINifa0is not onPATH) and the slash commands/a0-check,/a0-emit,/a0-run(plugin/commands/).CI:
uses: Joe-Simo/a0@main(rootaction.yml, inputversion, defaultlatest) downloads the release binary for the runner and checks every tracked.a0file. pre-commit:repo: https://github.com/Joe-Simo/a0, hook ida0-check(needsa0onPATH).a0 checkaccepts several files and exits 1 if any fails, printing<file>: error: <code>: ... fix: ...per failure.
Privacy
The a0 MCP server and the .mcpb bundles run entirely on your machine. They collect no data, make no network requests, and read or write only inside the folder you give them.
Contributing to the compiler
See CONTRIBUTING.md for the layout, the edit protocol, how to add a backend or a language to the experiments, and the measurement rules.
The compiler is being rewritten in A0 (see compiler/ and DESIGN.md section 7a). Until that lands, the compiler itself is TypeScript, and working on it needs Bun or Node 22+. Users of A0 never need this: the released a0 binary is self-contained.
bun install
bun run lint # Biome
bun run typecheck # tsc --noEmit
bun run test # node --test on dist/test
bun run verify # cross-toolchain differential execution -> results/verification.json
bun run hw # Icarus simulation + Yosys synthesis -> results/hardware.json
bun run bench # in-process timings + byte fixture -> results/benchmark.json
bun run tokens # tokenizer probe (js-tiktoken) -> results/tokens.json
bun run exec-bench # emitted vs 45+ hand-written baselines -> results/exec-benchmark.json
bun run app # Life application acceptance, 7 targets -> results/app.json
bun run site # browser demo (wasm + DOM adapter) -> site/dist/
bun run gpu # Metal GPU execution of the corpus -> results/gpu.json
bun run dotnet # C# / .NET execution of the corpus -> results/dotnet.jsonCLI (after bun run build):
node dist/src/cli.js check examples/kernels.a0
node dist/src/cli.js run examples/kernels.a0 affine 10 3 7 # 37
node dist/src/cli.js emit js|c|java|sv examples/kernels.a0 [out]
node dist/src/cli.js wasm examples/kernels.a0 kernels.wasm # needs clang + wasm-ld
node dist/src/cli.js revision examples/kernels.a0 affine
node dist/src/cli.js patch examples/kernels.a0 edit.patch [out.a0]Layout: src/core.ts grammar/validation/interpreter, src/edit.ts revisions and
edit sessions, src/optimize.ts, src/backends.ts JS/C/Java/SystemVerilog emission
and emission cache, src/toolchain.ts installed-tool integration, src/cli.ts,
test/, tools/ (corpus + oracle, verify, hw-verify, bench, token-bench).
Errors built for agents
Every diagnostic is one row of src/diagnostics.ts: a stable code (A0nnnn), a coarse class (parse, type, structure, limit, edit, patch, revision, handle, runtime, cli, unchanged), a message template, the fix, and a0 explain text with one failing and one fixed example. A diagnostic reaches an agent as {code, id, message, line, expected, actual, fix, applicability, edits} from a0 check --json, the edit protocol, the MCP server and the LSP. An unknown name (op, function, node, fold body, loop predicate, type) gets a did-you-mean by TypeScript's spelling rule. A fix is exact (safe to apply blindly, with edits that do it) or maybe. In the edit protocol the reply fix all applies every exact fix of the last rejected reply and validates the result before it commits. test/diagnostics.test.ts runs every explain example, and corpus/reject/ holds rejected programs and replies with the diagnostic each must raise and the program its fix produces (node dist/tools/reject-corpus.js [--bless] [--coverage]).
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