New — Native MCP + OpenClaw long-term memory
Your AI agent forgets you.
Ours doesn't.
SynapCores is an AI-native database that gives your agent durable, private memory — vector recall, graph relationships, and LLM reasoning answered in a single query, not stitched across five services.
Self-hosted. One binary. Running in 30 seconds.
Fork the MIT reference agent on GitHub·github.com/SynapCores/synapcores-agent
-- Semantic recall · graph context · LLM ranking — one round trip.
MATCH (session:Episode {id: $session_id})
-[:SIMILAR_TO > 0.80]->(past:Episode)
MATCH (past)-[:MENTIONS]->(ctx:Entity)
WITH past, collect(ctx.name) AS context,
llm_score("Relevance to the current question", past) AS fit
RETURN past.summary AS memory, context, fit AS relevance
ORDER BY relevance DESC LIMIT 5;Vector search, graph traversal, and generation — one engine, one round-trip.
MIT-licensed reference agent·Self-hosted — your data never leaves your box·No lock-in — single binary·Become a design partner and shape the roadmap →
One query. Three systems other databases need.
SynapCores unifies graph traversal, vector similarity, and LLM inference into a single execution engine.
Graph traversal, HNSW vector similarity, and in-database ML aren't three services here — they're one execution engine. Each answers in a single statement, from microseconds for graph to a couple of milliseconds with embedding or model inference in the loop.
On Postgres that's pgvector + Apache AGE + a model server + your application code stitching them together. On SynapCores it's one query — and you can compose all three in a single MATCH.
Stack Comparison
| Stack | Systems | Round-trips |
|---|---|---|
| Pinecone + Postgres + OpenAI rerank | 3 + your service | 4–5 |
| Neo4j + external embedding + LLM | 3 + your service | 3–4 |
| SynapCores | 1 | 1 |
Start from a working recipe, not a blank file.
Every recipe is a self-contained markdown file with embedded SQL or Cypher. Run it locally, edit it, ship it. Here are three for agent memory — there are 187 more across graph, ML, and healthcare.
Store and recall memories by meaning with vector embeddings in plain SQL. Works with Claude Code, OpenClaw, LangChain, or any custom agent.
Blend semantic relevance with recency so the agent surfaces the right memory now, not a stale one — one SQL query, no extra cache layer.
Two memory types — episodic (what happened) and semantic (durable facts) — in one SQL store. Automatically promotes repeated episodes to facts.
Build agent memory in 5 emails.
One runnable SQL recipe per email. No LangChain. Free.
5-email course · free
Ship an agent with persistent memory in 5 emails
A 5-email course where you build a real agent with persistent memory — one runnable SQL recipe per email, no LangChain, no Pinecone, no Redis. Lesson 1 hits your inbox the second you sign up. After that: a new recipe every Monday. No spam.
Free forever. We'll never share your email.
What's in Community Edition
Community Edition is a complete AI-native engine. Sales is an upgrade path, not a front door.
| Feature | Community | Enterprise |
|---|---|---|
| Core SQL Engine | ||
| Vector Search (HNSW) | ||
| Graph Database (Cypher) | ||
| AI / LLM Integration | ||
| MCP Server (Model Context Protocol) | ||
| Multimedia (PDF/AV) | ||
| AutoML | ||
| Multi-node Clustering | ||
| Raft Replication | ||
| Fine-grained RBAC | ||
| Audit Logging (Scale) | ||
| SSO / SAML / LDAP | ||
| Immutable Tables |
Where we're going: v1.6 (Q3 2026) targets binary wire protocol, shared buffer pool, and B-tree indexes for OLTP at PG scale.
Building production agents? Partner with us early.
We're taking on a small number of design partners shaping the SynapCores roadmap. You get direct access to the engineering team, priority on the features you need, and SLA-backed support. We get a real workload to build against.
Become a design partner →Need clustering, RBAC, or production support?
The Enterprise Edition (EE) ships everything in CE plus mission-critical scale and security. Paid Enterprise Support is also available for CE deployments.
Scale
Multi-node clustering + Raft replication + CDC inbound from MySQL/Postgres binlog.
Security & Compliance
Fine-grained RBAC, SSO/SAML, LDAP, encryption-at-rest, audit logging, and immutable tables.
Performance
Binary wire protocol, shared buffer pool, row-store fast path (v1.6+).
Enterprise Support (also available for CE)
SLA-backed support for production CE deployments: prioritized bug fixes, custom feature work, roadmap input, and direct access to the engineering team. Buy support without buying EE.
Or start free with Community Edition