Deterministic context selection for AI coding agents. Local memory that compounds across sessions.
Deterministic context selection for AI coding agents. Local memory that compounds across sessions.
CodeLedger turns every coding action into a persistent, compounding asset.
The server publishes 13 tools. What each one is for:
query_ledger — Search for verified patterns before codingget_active_context — Get the task-specific context bundlerecord_interaction — Report outcomes for memory compoundingAppend — only memory of engineering activityOutcome — linked learning (what worked vs what failed)Cross — agent continuityRemember — VerifyFeature — Individual (Free)Hook — WhenSessionStart — Session opensPreToolUse — Before edit/writePreCompact — Before compressionThe server ships on npm as @codeledger/cli, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
query_ledger — Search for verified patterns before codingget_active_context — Get the task-specific context bundlerecord_interaction — Report outcomes for memory compoundingCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| query_ledger | Search for verified patterns before coding |
| get_active_context | Get the task-specific context bundle |
| record_interaction | Report outcomes for memory compounding |
{
"mcpServers": {
"codeledger": {
"command": "npx",
"args": ["-y", "@codeledger/cli"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
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