Graphicle runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 24 Oct 2026.
Code graph and project memory for coding agents, cited to exact files and lines, on your machine.
We read the source, 23 h ago · rules 995398eba69f
Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.
oracle=types.ModuleType('reference_detect');oracle.__package__='graphify'
exec(compile((SOURCE/'graphify/detect.py').read_text(),str(SOURCE/'graphify/detect.py'),'exec'),oracle.__dict__)
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
regex::Regex::new(&format!(r"(?im)</?untrusted_source\b[^>]*>|<\|[A-Za-z0-9_.\-]{{1,64}}\|>|<<SYS>>|<</SYS>>|\[/?(?:INST|SYSTEM)\]|^[{0}]*###?[{0}]*(?:system|instruction)s?[{0}]*:?[{0}]*$",fsutil::PY_WHITESPACE)).unwrap()
Path::new("/.dockerenv").exists(),
const child = execFile(command, ["hook-guard", kind], {
res = subprocess.run(argv, capture_output=True, text=True)
oracle=types.ModuleType("reference_apex");oracle.__package__="graphify.extractors"
exec(compile(oracle_source("graphify/extractors/apex.py"),"<pinned apex.py with reviewed fixes>","exec"),oracle.__dict__)
let process = Process()
DO UPDATE SET calls=calls+excluded.calls,tokens=tokens+excluded.tokens",
env = dict(os.environ)
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch Graphicle and you get told the day something new turns up.
Shared memory for coding agents: projects, reusable code, sessions and commits across machines
Deterministic code map for AI coding agents: a tree-sitter call graph with exact file:line over MCP.
Project memory for coding agents: requirements, decisions, code graph and delivery telemetry.
Local code graph and solution memory for coding agents via CLI and MCP.
Code review on your own machine, for you and your coding agent. Nothing leaves your computer.
Local-first memory for AI coding agents. Memory + CodeGraph + Wiki in one SQLite file.
Project memory for coding agents whose memories carry code evidence, re-checked on every recall.
Curated, on-demand memory for AI coding agents. Cuts Claude Code token cost per session.
Answers built from our own checks of this server.