Q
Which memory MCP should I pick?
By question shape: human-readable notes (markdown servers), resumable multi-step work (issue-graph), semantic recall over big corpora (vector+graph). Anvaya covers the code-native corner.
Glossary · MCP Memory Server
MCP Memory Server.
One memory, every harness.
Direct answer
A Model Context Protocol server exposing memory as tools (query, search, record, stats, sessions) so any MCP client (Claude Code, Cursor, Codex, Windsurf) reads and writes one shared store. The install pattern is identical stdio JSON everywhere; the memory model is the real choice (markdown notes vs issue graph vs vector+graph). Local-first servers keep proprietary code on disk; hosted ones trade sovereignty for zero ops.
In Anvaya
How We Implement It.
01MCP Memory ServerAnvaya's MCP server exposes 14 tools with budgeted queries (default 4096 tokens); Anvaya CLI itself uses faster native transports (Direct <0.5ms, IPC ~2ms).
Questions
Asked About MCP Memory Server.
Q
Can two different agents share one memory?
Yes, that's the point. Record a fix in the terminal, recall it in the IDE; per-agent scoping available where needed.
Q
Local or hosted memory server?
Local for proprietary code and offline; hosted for zero-ops teams. Never send contract-covered code to a SaaS to save a setup afternoon.
Run Agents That Fit On Your Laptop.
25.6 MB median RSS. 25 agents ran in parallel on a Core 2 Duo with 4 GB RAM. Hundreds on your machine. Zero cloud required on the Ollama path.
Requires Rust/cargo to build from source. Linux and macOS today, Windows not yet supported. Pre-1.0, public beta. Pricing TBD.