Codeledger runs on your own machine — the client starts it, so there is no endpoint to ping. 435 installs a week from npm. Last commit 14 Sep 2026.
Deterministic context selection for AI coding agents. Local memory that compounds across sessions.
We read the source, 21 h ago · rules 3dff92dd89df
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.
postinstall: node scripts/postinstall.js
этот файл ставится пользователю, но в репозитории его нет
description: GitHub token used to post or update the sticky PR comment.
required: true
default: ${{ github.token }}
const result = spawnSync(command, args, {
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 codeledger -- npx -y @codeledger/cli
{
"mcpServers": {
"codeledger": {
"args": [
"-y",
"@codeledger/cli"
],
"command": "npx"
}
}
}
[mcp_servers.codeledger]
command = "npx"
args = ["-y", "@codeledger/cli"]
{
"mcpServers": {
"codeledger": {
"args": [
"-y",
"@codeledger/cli"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"codeledger": {
"args": [
"-y",
"@codeledger/cli"
],
"command": "npx"
}
}
}
Session memory for coding agents: local-first recall, drift detection, on-device inference.
Neo4j-native DIKW memory for Claude Code — knowledge that compounds across sessions
Deterministic local repository context, impact analysis, and merge-readiness evidence for AI agents.
Local code-memory graph for AI coding agents.
Deterministic code analysis harness giving AI agents senses, memory and judgment for code.
Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.
Project memory across sessions for AI agents. A queryable decision log in the repo.
Shared memory across devices, sessions, and agents for OpenClaw, Claude Code, and Codex.
Answers built from our own checks of this server.