Skip to main content
Glama

m9k_forget

Remove specific data chunks from the memory index to manage stored information. Use after identifying chunk IDs with search to permanently delete indexed content.

Instructions

Permanently remove a specific chunk from the memory index. Does NOT delete the source JSONL. Use m9k_search() first to find the chunk ID to forget.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chunkIdYesChunk ID to permanently delete from the index

Implementation Reference

  • The tool 'm9k_forget' is registered and implemented within `registerManageTools` in `src/tools/manage.ts`. It performs a soft-delete of a chunk in the `conv_chunks` database table and hard-deletes associated vectors.
    server.registerTool(
      'm9k_forget',
      {
        description:
          'Permanently remove a specific chunk from the memory index. Does NOT delete the source JSONL. Use m9k_search() first to find the chunk ID to forget.',
        inputSchema: {
          chunkId: z.string().describe('Chunk ID to permanently delete from the index'),
        },
        annotations: {
          readOnlyHint: false,
          destructiveHint: true,
          idempotentHint: true,
          openWorldHint: false,
        },
      },
      async ({ chunkId }) => {
        // Check if chunk exists and is not already deleted
        const chunk = ctx.db
          .prepare('SELECT id, session_id FROM conv_chunks WHERE id = ? AND deleted_at IS NULL')
          .get(chunkId) as { id: string; session_id: string } | undefined;
    
        if (!chunk) {
          return {
            content: [
              {
                type: 'text' as const,
                text: JSON.stringify({ error: 'Chunk not found', chunkId }),
              },
            ],
            isError: true,
          };
        }
    
        // Soft-delete the chunk
        ctx.db
          .prepare("UPDATE conv_chunks SET deleted_at = datetime('now') WHERE id = ?")
          .run(chunkId);
    
        // Hard-delete associated vectors (no need to keep them)
        if (ctx.searchContext.vecTextEnabled) {
          deleteVectorsForChunk(ctx.db, chunkId, '_text');
        }
        if (ctx.searchContext.vecCodeEnabled) {
          deleteVectorsForChunk(ctx.db, chunkId, '_code');
        }
    
        return {
          content: [
            {
              type: 'text' as const,
              text: JSON.stringify({ forgotten: true, chunkId }),
            },
          ],
        };
      },
    );

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/louis49/melchizedek'

If you have feedback or need assistance with the MCP directory API, please join our Discord server