fix: exclude archived learnings from free tier search and log (v1.3.1)

- keywordSearch now filters is_active !== false before BM25 scoring
- log free tier path now includes is_active: eq.true filter
- Removed uninstall line from init success footer

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: 2 people

CHANGELOG.md

@@ -7,6 +7,14 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [1.3.1] - 2026-02-22
+
+### Fixed
+- **Archived learnings excluded from free tier search/log**: `keywordSearch` and `log` on the free tier (local JSON storage) now filter out `is_active === false` learnings, matching pro tier behavior.
+
+### Changed
+- **Removed uninstall line from init success footer**: Cleaner post-install output.
+
 ## [1.3.0] - 2026-02-22
 
 ### Added

bin/init-wizard.js

@@ -913,8 +913,7 @@ async function main() {
     console.log("───────────────────────────────────────────────────");
     console.log("");
     console.log(`${PRODUCT} ${C.red}${C.bold}installed successfully!${C.reset}`);
-    console.log(`${C.dim}Docs:${C.reset}    ${C.red}https://gitmem.ai/docs${C.reset}`);
-    console.log(`${C.dim}Remove:${C.reset}  npx gitmem-mcp uninstall`);
+    console.log(`${C.dim}Docs:${C.reset}  ${C.red}https://gitmem.ai/docs${C.reset}`);
     console.log("");
     console.log(`${C.dim}Try asking your agent:${C.reset}`);
     console.log(`  ${C.italic}"Review the gitmem tools, test them, convince yourself"${C.reset}`);

package.json

@@ -1,6 +1,6 @@
 {
   "name": "gitmem-mcp",
-  "version": "1.3.0",
+  "version": "1.3.1",
   "mcpName": "io.github.gitmem-dev/gitmem",
   "description": "Persistent learning memory for AI coding agents. Memory that compounds.",
   "type": "module",

src/services/local-file-storage.ts

@@ -155,7 +155,8 @@ export class LocalFileStorage {
    * Uses stemming, IDF weighting, and document length normalization.
    */
   async keywordSearch(query: string, k = 5): Promise<RelevantScar[]> {
-    const learnings = this.readCollection<Record<string, unknown>>("learnings");
+    const learnings = this.readCollection<Record<string, unknown>>("learnings")
+      .filter((l) => l.is_active !== false);
     if (learnings.length === 0) return [];
 
     // Build BM25 documents with field boosting

src/tools/log.ts

@@ -121,7 +121,7 @@ export async function log(params: LogParams): Promise<LogResult> {
       const queryTimer = new Timer();
       const storage = getStorage();
 
-      const filters: Record<string, string> = {};
+      const filters: Record<string, string> = { is_active: "eq.true" };
       if (typeFilter) filters.learning_type = typeFilter;
       if (severityFilter) filters.severity = severityFilter;