Most teams have one technical lead and ten operators. Actana fits both — without forcing either to use the other's tool.
Natural language requests are routed to a tool-using agent that reads files, runs shell commands, queries knowledge, and calls any of 228+ integrations — all streamed live.
A real DAG with type-aware variable flow, sub-agents, and conditional branches. Not "no-code automation" — a programmable execution graph that ships agents.
The same agent runtime backs the chat, the canvas, and the SDK. Promote a chat session to a Workflow. Promote a Workflow to a versioned, deployable agent.
No external database. No third-party RAG service. No bring-your-own-storage. Files, Tables, Knowledge, Logs — all native, all agent-aware, all governed.
The conversational command center. Build agents by talking — no canvas required.
Visual builder. 228+ blocks. Type-aware variable flow. Sub-agents in their own sandboxes.
Your agents' memory. Upload docs, sync sources, build vector stores any agent can query.
A database, built in. Typed columns, agent read/write, "for-each-row" workflow iteration.
One file store for the whole workspace. Upload once, reference everywhere, round-trip through agents.
Block-by-block trace of every run. Same shape live and archived. If you can't audit it, you can't ship it.
AI agents that read your files and run shell commands cannot run in your app process. Actana ships isolation as the default — not the upgrade.
Docker container. Full isolation. Asset round-trip. MCP-bridged. Default for prod.
Native Node process. ~200ms startup. 23 built-in tools. For dev / fast inner loop.
Most AI teams stitch together five tools to ship one agent. Actana collapses the stack.
| Actana | n8n automation | Airtable structured data | CodeRabbit · Wrap vertical agents | LangChain · CrewAI agent frameworks | |
|---|---|---|---|---|---|
| Visual workflow builder | ✓ 228 blocks, sub-agents, type-aware | ✓ | — | — | code-only |
| Conversational agent that operates the workspace | ✓ First-class | — | — | narrow scope | — |
| Built-in structured data (tables) | ✓ Workspace-scoped | bring DB | ✓ | — | bring DB |
| Knowledge base / RAG, plain-English | ✓ Module, not feature | via blocks | — | scoped to vertical | DIY |
| Sandboxed agent execution | ✓ Default (Pi · SDK) | — | — | vendor-managed | DIY |
| Block-level audit log + replay | ✓ NDJSON live + archive | request-level | — | limited | DIY |
| Model & CLI agnostic | ✓ Anthropic · OpenAI · Gemini · custom · Pi · Codex · Claude Code | model-only | — | vendor-locked | ✓ |
| Self-host / on-prem | ✓ SaaS or on-prem | ✓ | — | SaaS | ✓ code-only |
| vLLM consultancy + hardware help | ✓ Closed-cycle option | — | — | — | — |
| Extensible registries (blocks, triggers, skills) | ✓ Documented patterns | ✓ | — | — | ✓ |
Comparison reflects publicly-documented capabilities at time of writing. Names belong to their respective owners.
Actana runs as managed SaaS, in your VPC, or fully air-gapped on your hardware. Built on standard infrastructure your team already knows — Postgres, Redis, BullMQ, vLLM — so on-prem is a real option, not a sales line.
Get a workspace today. We run the orchestrator, sandboxes, and storage. SOC2 path available.
Same product, your VPC. Runs on Postgres, Redis, and BullMQ. We help with rollout and upgrade cadence.
Self-host models with vLLM. We consult on hardware, sizing, KV-cache budgets, and routing.
Real workflows, not demos. Pick a starter, customize for your workspace, ship.
Triggered by GitHub PR open. Reads diff + handbook, posts grounded review.
Inbound tickets routed by severity, drafted responses, escalation to on-call.
Form submissions enriched, scored, and synced to CRM with notes.
Weekly run pulls merged PRs, drafts notes, opens a PR in your docs repo.
Ingests questionnaires, drafts answers grounded in your policy KB, flags gaps.
Pulls from warehouse + Stripe, summarizes in markdown, posts to channel.