Search Memory vs AgentRecall
A side-by-side look at the Search Memory and AgentRecall MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Search Memory for knowledge & memory work as a local process; choose AgentRecall 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 Search Memory when
- You need dedicated capabilities in the Knowledge & Memory domain.
- You prefer a local stdio subprocess transport.
- You want tools like
web_search, fetch_content, research.
Choose AgentRecall 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
session_start, remember, recall.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Knowledge & Memory | Knowledge & Memory |
| Quality signal | 56/100 · Good | 68/100 · 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 | 1 | 371 |
| Directory activity | 0 views 0 installs 0 upvotes | 5 views 0 installs 0 upvotes |
| Tools | 12 | 5 |
| Full listing | View Search Memory | View AgentRecall |
Tools & capabilities
Search Memory tools 12
web_searchSearches the web and returns ranked results. Supports `strategy` (`fallback`/`aggregate`/`auto`), `domain`, `from_date`/`to_date`, `format` (`text`/`json`), and `deep=true` for source-backed answers.fetch_contentFetches a URL and returns clean Markdown with content caching, charset handling, GitHub Raw fast paths, RSS feed extraction, and Playwright fallback.researchResearches a question in one call: checks the local knowledge base, searches the web, reads the top pages (`max_sources`, default 3), answers with citations from both, and adds the pages it read to the knowledge base (`index=false` to skip; sources already indexed are not added again).server_statusReturns provider availability, cache stats, knowledge index stats, memory stats, entity graph stats, recent search traces, browser state, routing profile metadata, feature flags, and uptime.ingest_documentChunks a document and indexes it into the local knowledge base (FTS + vectors) and entity graph. Pass `content`, or `path` to a local PDF, DOCX, EPUB, HTML or text file inside `INGEST_ALLOWED_DIRS`.index_urlFetches a URL and indexes its Markdown into the local knowledge base and entity graph.search_indexHybrid keyword + semantic search over the local knowledge base; returns chunks with source citations. Supports `format: "json"`.list_indexLists documents stored in the local knowledge base.rememberStores a short fact or note in session memory.recallSearches or lists session memory notes.forgetDeletes a session memory note by id.find_relatedExplores the entity graph: related documents and co-occurring entities for an entity name.
AgentRecall tools 5
session_startLoads corrections, insights and `watch_for` warnings for the projectrememberSaves one fact; auto-routes to journal / palace room / corrections / awarenessrecallRanked search across every store (RRF), with `useful` feedback that re-weights future rankingcheckMatches the plan against known corrections; returns `verdict: "blocked"` when one overrides itsession_endWrites the journal, promotes insights, records trajectory, optionally opens/closes a pipeline phase
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.
Search Memory
{
"mcpServers": {
"search-memory": {
"command": "npx",
"args": [
"-y",
"search-memory-mcp@latest"
]
}
}
}
AgentRecall
{
"mcpServers": {
"goldentrii-agentrecall": {
"command": "npx",
"args": [
"-y",
"agent-recall-mcp"
]
}
}
}
Frequently asked questions
Search Memory is categorized under Knowledge & Memory and uses a local stdio subprocess. AgentRecall belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Search Memory for knowledge & memory work and AgentRecall 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.
Search Memory has no declared pricing — check the project's own site. AgentRecall 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 search-memory and goldentrii-agentrecall as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Search Memory has a quality signal of 56/100 (Good) with 0 views, 0 installs and 1 GitHub stars. AgentRecall has 68/100 (Great) with 5 views, 0 installs and 371 GitHub stars.