Aletheia runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 24 Oct 2026.
Project memory for coding agents whose memories carry code evidence, re-checked on every recall.
We read the source, 57 min ago · rules 995398eba69f
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.
const child = spawn(bin, process.argv.slice(2), { stdio: "inherit", windowsHide: true });
Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.
p = filepath.Join(root, p)
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add aletheia -- npx -y @firatmio/aletheia
{
"mcpServers": {
"aletheia": {
"command": "npx",
"args": [
"-y",
"@firatmio/aletheia"
]
}
}
}
[mcp_servers.aletheia]
command = "npx"
args = ["-y", "@firatmio/aletheia"]
{
"mcpServers": {
"aletheia": {
"command": "npx",
"args": [
"-y",
"@firatmio/aletheia"
]
}
}
}
{
"servers": {
"aletheia": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@firatmio/aletheia"
]
}
}
}
Session memory for coding agents: local-first recall, drift detection, on-device inference.
Living memory for AI coding agents: recall before acting, report outcomes so confidence is earned.
Code graph and project memory for coding agents, cited to exact files and lines, on your machine.
Shared, project-aware memory for Claude Code, Codex, and other agents with human review.
Shared memory for coding agents. Stop re-explaining your codebase every session.
Persistent, evidence-backed code graph for coding agents.
Efficient context management: code search, evidence packs, and memory for coding agents.
Persistent project memory for AI coding agents: one compact digest instead of re-reading the repo.
Answers built from our own checks of this server.