synapcores/community repository overview

⁠SynapCores Community Edition

The AI-native database — vector + graph + SQL + AutoML + LLM in a single binary.

SynapCores unifies the data systems an AI application normally needs — a vector store, a graph database, a SQL engine, a model-training pipeline, and an LLM gateway — into one engine with one query surface. No extensions to install, no five-service stack to wire together, no sync glue. Community Edition is free.

docker run -d --name synapcores \
  -p 8080:8080 \
  -e AIDB_ACCEPT_LICENSE=1 \
  -e AIDB_JWT_SECRET=$(openssl rand -base64 32) \
  -v synapcores-data:/var/lib/synapcores \
  synapcores/community:latest

⁠🔑 Get your login credentials (first run)

On first boot, SynapCores prints a one-time admin login and API key to the container logs. Read them with:

docker logs synapcores

Look for the FIRST-BOOT CREDENTIALS block — it contains the admin username, an auto-generated password, and an API key. Capture them now; they are shown only once. Change the password via the admin UI on first login.

Then check it's up:

curl http://localhost:8080/health

⁠What you can do in one engine

• Vector search — store embeddings and run similarity search natively, with EMBED() built in (no separate embedding service to call).
• Graph / Cypher — model relationships and run MATCH traversals over the same data.
• SQL + SQLv2 — standard SQL plus AI-native extensions: EMBED(), COSINE_SIMILARITY(), GENERATE_TEXT(), and AUTOML.TRAIN() / AUTOML.PREDICT().
• In-database AutoML — train and serve models in SQL; keep them current with a trigger. No notebook, no model server, no pipeline.
• Local LLM + NLP — text generation and NLP without leaving the database.
• Native MCP — expose your data to AI agents over the Model Context Protocol.

⁠Why one engine

Building AI features on a classic stack means a relational DB plus a vector DB plus a graph DB plus an embedding service plus the code that keeps them in sync. SynapCores collapses that into a single container — fewer moving parts, no cross-store sync, and vectors + graph + ML usable together in the same query.

⁠Configuration

API docs: once running, browse http://localhost:8080/v1/api-docs or fetch the OpenAPI schema at http://localhost:8080/v1/openapi.json.

⁠Tags

• latest — the current stable Community release (multi-arch).
• v1.6.6.6-ce — pinned version tag (recommended for reproducible deployments).

⁠Links

• Website: https://synapcores.com⁠
• Get started (install script): curl -fsSL https://get.synapcores.com | sh
• Documentation: https://github.com/SynapCores/synapcores-docs/tree/main/docs⁠
• SDKs: npm i @synapcores/sdk · pip install synapcores

⁠License

SynapCores Community Edition is free to use under the SynapCores Community License. It is proprietary software (not open source). See the license presented on first run / in the documentation.