Vector databases are infrastructure
They are powerful primitives, but teams still have to design memory capture, retrieval routing, provenance, agent instructions, and operational UX.
Compare vector DBs
Palace vs building memory on a vector database
memory system
A vector database can store embeddings. Palace adds the coding-agent workflows around memory: MCP tools, diaries, KG facts, provenance, install rules, and team deployment.
Works with Cursor, Claude Code, Codex, and other MCP-capable clients.
Combines semantic retrieval, BM25-style search, diaries, and knowledge graph recall.
Open-source MIT core for solo developers; paid server for shared team memory.
Palace vs wiring a vector DB to MCP yourself
| Feature | Palace | DIY MCP + vector DB |
|---|---|---|
| MCP tools | Search, diary, KG, session, verify | You design and maintain the tool surface |
| Retrieval stack | Hybrid search + KG + diaries | Usually embeddings + your glue code |
| Agent workflow | Install rules + memory protocol | You invent capture and recall rules |
| Team server path | Paid self-hosted Palace Server | Custom ops, auth, and multi-user design |
| Provenance | Built into recall | Only if you build it |
| Time to value | CLI + MCP clients | Weeks of integration work |
Palace is productized memory
Palace uses searchable storage as one ingredient, then adds the interfaces coding agents need to recall and write memory consistently.
Best fit
Choose Palace if your goal is agent memory for engineering work, not building a custom memory platform from primitives.