Better Bear vs Shodh Memory
A side-by-side look at the Better Bear and Shodh Memory MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Better Bear for knowledge & memory work as a local process; choose Shodh Memory for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Better Bear when
- You need dedicated capabilities in the Knowledge & Memory domain.
- You prefer a local stdio subprocess transport.
- You want tools like
bear_list_notes, bear_get_note, bear_search.
Choose Shodh Memory when
- You need dedicated capabilities in the Knowledge & Memory domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
remember, recall, recall_by_tags.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Knowledge & Memory | Knowledge & Memory |
| Quality signal | 60/100 · Good | 69/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 68 | 314 |
| Directory activity | 2 views 0 installs 0 upvotes | 5 views 0 installs 0 upvotes |
| Tools | 35 | 38 |
| Full listing | View Better Bear | View Shodh Memory |
Tools & capabilities
Better Bear tools 35
bear_list_notesList Bear notes with optional tag filtering. Returns an array of notes with IDs, titles, tags, pin status, and modification dates. Each note includes two tag fields: 'tags' mirrors Bear's CloudKit index verbatim (includes ancestor expansions — a note tagged #parent/child will show both 'parent' and 'parent/child'); 'attached_tags' shows only leaf tags (the most-specific tag on each branch). Notes with 'locked: true' are private/encrypted in Bear and their body content is not searchable — if a search returns no results, check whether the relevant note is locked. Use bear_get_note to read the full content of a specific note.bear_get_noteGet a single Bear note's full content and metadata by ID. Returns the note title, tags, full markdown text, and dates. The response includes 'tags' (CloudKit index, may contain ancestor tags like 'parent' for a note tagged '#parent/child') and 'attached_tags' (leaves only). If the note is locked/private, 'locked: true' will be included in the response. Use the 'raw' option to get just the markdown without metadata.bear_searchFull-text search across Bear note titles, tags, and body content. Returns matching notes ranked by relevance (title matches first, then tag, then body). Body matches include a text snippet with surrounding context. Locked/private notes will match by title but may not match body searches — results include 'locked: true' for these notes. If you can't find content you expect, try listing notes to check if the relevant note is locked.bear_get_tagsGet the full tag hierarchy from Bear. Returns all tags with their note counts and pin status. Useful for understanding how notes are organized.bear_create_noteCreate a new Bear note with a title, optional body text, tags, and YAML front matter. Hashtags written inline in the body (e.g. '#my_tag' or '#parent/child') are extracted and registered as real tags on the note, matching Bear's desktop-app behaviour. Tags from the 'tags' array are indexed regardless of whether they appear in the body. Hierarchical tags like '#parent/child' also index every ancestor (so they show up under #parent in Bear's sidebar). Front matter is stored as a collapsed metadata block at the top of the note. Returns the new note's ID.bear_edit_noteEdit an existing Bear note. Provide 'append_text' to add text, 'body' to replace content, or 'set_frontmatter'/'remove_frontmatter' to edit YAML front matter fields. Front matter edits can be combined with each other but not with body/append.bear_trash_noteMove a Bear note to the trash. This is a soft delete — the note can be recovered from Bear's trash. The note is identified by its ID.bear_syncTrigger a sync of Bear notes from iCloud. Normally an incremental sync fetching only changes. Use 'full' to force a complete re-sync. Most read operations auto-sync when the cache is stale, so manual sync is rarely needed.bear_list_todosList Bear notes that have incomplete TODO items (markdown checkboxes like '- [ ]'). Returns each note's title, tags, and counts of complete/incomplete items.bear_get_todosGet all TODO items from a specific Bear note. Returns each item's text, completion status, and index number (use the index with bear_toggle_todo to toggle items).bear_toggle_todoToggle a specific TODO item in a Bear note between complete and incomplete. The item_index is 1-based — use bear_get_todos first to see the list with index numbers.bear_attach_fileAttach a file or image to an existing Bear note. The file is uploaded to iCloud and embedded in the note's markdown. Supports common image formats (jpg, png, gif, webp, heic) and other file types (pdf, zip, etc.). By default the attachment is appended to the end. Use 'after' or 'before' to place it relative to text in the note, or 'prepend' to put it right after the title.- +23 more on the listing page
Shodh Memory tools 38
rememberStore a memory for future recall. Use this to remember important information, decisions, user preferences, project context, or anything you want to recall later.recallSearch memories AND todos using semantic similarity. Returns both relevant memories and matching todos. Use this to find past experiences, decisions, context, or pending work. Modes: 'semantic' (vector similarity), 'associative' (graph traversal), 'temporal' (time-based retrieval), 'hybrid' (combined), 'spatial' (geo-location based), 'mission' (mission context), 'action_outcome' (reward-based learning).recall_by_tagsFind memories by tags. Returns memories matching ANY of the provided tags. Useful for finding memories by category (e.g., 'tool:Edit', 'file:src/main.rs', 'source:hook', 'error', 'session-summary').context_summaryGet a condensed summary of recent learnings, decisions, and context. Use this at the start of a session to quickly understand what you've learned before.list_memoriesList all stored memoriesforgetDelete a specific memory by IDmemory_statsGet statistics about stored memoriesverify_indexVerify vector index integrity - diagnose orphaned memories that are stored but not searchable. Returns health status and count of orphaned memories.repair_indexRepair vector index by re-indexing orphaned memories. Use this when verify_index shows unhealthy status. Returns count of repaired memories.backup_createCreate a backup of all memories. Returns backup metadata including ID, size, and checksum. Backups are stored locally and can be restored later.backup_listList all available backups for this user. Returns backup history with IDs, timestamps, and sizes.backup_verifyVerify backup integrity using SHA-256 checksum. Use to check if a backup is corrupted before restoring.- +26 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Better Bear
{
"mcpServers": {
"better-bear-2": {
"command": "npx",
"args": [
"-y",
"better-bear"
]
}
}
}
Shodh Memory
{
"mcpServers": {
"varun29ankus-shodh-memory": {
"command": "npx",
"args": [
"-y",
"@shodh/memory-mcp"
]
}
}
}
Frequently asked questions
Better Bear is categorized under Knowledge & Memory and uses a local stdio subprocess. Shodh Memory belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Better Bear for knowledge & memory work and Shodh Memory for knowledge & memory.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Better Bear has no declared pricing — check the project's own site. Shodh Memory is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add better-bear-2 and varun29ankus-shodh-memory as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Better Bear has a quality signal of 60/100 (Good) with 2 views, 0 installs and 68 GitHub stars. Shodh Memory has 69/100 (Great) with 5 views, 0 installs and 314 GitHub stars.