Recallnest vs YourMemory — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Recallnest vs YourMemory
In-depth architectural comparison of the Recallnest and YourMemory MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Recallnest
Knowledge & Memory · Local stdio
Quality: 59/100 (Good) | Auth: API Key required
YourMemory
Knowledge & Memory · Local stdio
Quality: 59/100 (Good) | Auth: No auth required
Verdict Summary: Choose Recallnest if you need specialized Knowledge & Memory tools running via a local process. Choose YourMemory if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Recallnest when:
You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Free / Open Source).
You have access to required keys: JINA_API_KEY.
Primary tools included: Hybrid retrieval: vector, BM25, multi-vector levels, and knowledge graph PPR, Session checkpoint and resume with repo-state guarding, Multi-scope isolation with related scope sidecar search.
You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: Ebbinghaus forgetting-curve memory decay and pruning, Hybrid retrieval combining BM25, vector embeddings, and entity graph, Consolidation of related facts into summaries to reduce bloat.
Persistent memory MCP server for AI coding agents (Claude Code, Codex, Gemini CLI). Hybrid retrieval (vector + BM25), cross-encoder reranking, knowledge graph with PPR traversal, session checkpoint/resume, and multi-scope isolation. Local-first with LanceDB + SQLite, zero external dependencies.
Persistent memory for AI agents with Ebbinghaus forgetting-curve decay, hybrid BM25+vector retrieval, and entity graph for multi-hop reasoning. Memories auto-prune by importance and recall rate. Built-in browser dashboard, multi-agent support, and yourmemory ask for zero-API-call local queries. pip install yourmemory
Category & Scope
Tools & Capabilities Breakdown
Recallnest Tools (6)
Hybrid retrieval: vector, BM25, multi-vector levels, and knowledge graph PPR
Session checkpoint and resume with repo-state guarding
Multi-scope isolation with related scope sidecar search
Memory lifecycle management: decay, consolidation, promotion, and archival
Privacy tiers with cascade forgetting and write-time admission control
Dual interface: MCP stdio for CLI and HTTP API for custom clients
YourMemory Tools (6)
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Recallnest is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, YourMemory belongs to Knowledge & Memory using local stdio subprocess. Select Recallnest when you need capabilities focused on knowledge & memory and YourMemory when you require tools for knowledge & memory.