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A continuous context layer for your stack — open and extensible, elastic across LLMs and tools, with governed controls, approvals, and a full audit trail.
Connectors ingest. The graph remembers. The agent acts. Policies gate every write.
Batteries-included connectors for GitHub, AWS, Slack, NetSuite, and more — read-only, scoped, and validated at create time.
Connectors →Neo4j-backed graph with realm partitioning, hybrid search, and tribal knowledge — the company memory the agent reads on every turn.
Knowledge graph →LLMs (Claude · GPT · Gemini · Ollama · vLLM · LMS) discover tools on demand through 4 meta-tools — no prompt stuffing.
Agent loop →Rego policies deny by default. Approvals gate every write. Realms enforce row-level scope. Every action lands in the audit log.
Zero-trust →15 end-to-end recipes — each combines connectors, the agent loop, and triggers into a working pattern you can stand up in a day.
One docker compose up brings up the full stack — Postgres, Neo4j, Redis, backend, frontend.
Deploy with one click. Managed Postgres / Redis / Neo4j. SSO via OIDC. EU residency available.
Deploy →Tauri-based macOS app for solo builders. Local sandboxes, local LLMs, no cloud required.
Desktop →Multi-tenant SaaS run by AgentcyLabs. SOC2 in flight. Bring your own LLM keys.
Cloud →Spin up the full stack locally, configure your first connector, and ask the agent something real.