Stash vs Temporal AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Stash | Temporal AI |
|---|---|---|
| Pricing | Free (self-hosted, no vendor cost) | Freemium (Cloud starts at $20/month for 10 workflows) |
| Core Capability | Persistent memory layer for AI agents | Durable execution platform for long-running workflows |
| Deployment | Self-hosted single binary | Cloud or self-hosted (Docker/K8s) |
| Storage | PostgreSQL only | Built-in durable execution history (PostgreSQL, Cassandra, etc.) |
| Agent Integration | MCP server native | OpenAI Agents SDK, Google ADK, MCP (via workflows) |
| Latest News | No recent news | Usage-based billing, custom roles pre-release (June 2026) |
Temporal is the right choice if you need an industrial-grade orchestration platform with retries, rollbacks, and human-in-the-loop for complex workflows (AI agents, microservices). Stash is perfect for developers who want a lightweight, self-hosted memory layer for AI agents, using Postgres with zero vendor lock-in. Pick Temporal for reliability at scale; pick Stash for simple, privacy-first agent memory.
Durable execution platform keeping AI agents and workflows running through failures with automatic state capture and retries.
Visit WebsiteWho should pick which
- Solo founder building a chat agent with memoryPick: Stash
Stash is free, self-hosted, and provides simple persistent memory via MCP. No cloud costs or complex setup.
- Enterprise team orchestrating multi-step AI workflowsPick: Temporal AI
Temporal’s durable execution, retries, and human-in-the-loop signals are ideal for complex agent pipelines needing reliability.
- Privacy-conscious researcher needing offline agent memoryPick: Stash
Stash runs as a single binary with no external dependencies, and stores everything in local Postgres, suitable for offline use.
- Developer integrating OpenAI Agents SDK for a production appPick: Temporal AI
Temporal has native integration with OpenAI Agents SDK (announced at Replay 2026), plus workflow durability and visibility.
Frequently Asked Questions
Stash vs Temporal AI: which should you choose?
Temporal is the right choice if you need an industrial-grade orchestration platform with retries, rollbacks, and human-in-the-loop for complex workflows (AI agents, microservices). Stash is perfect for developers who want a lightweight, self-hosted memory layer for AI agents, using Postgres with zero vendor lock-in. Pick Temporal for reliability at scale; pick Stash for simple, privacy-first agent memory.
Can I use Stash with Temporal?
Yes, you can combine both—use Temporal for orchestration and Stash as a custom memory activity via its MCP API.
Which one is easier to start with?
Stash is simpler: download a binary, connect to Postgres, and use MCP. Temporal has a steeper learning curve due to its workflow-as-code model.
Does Stash have retries or failure handling?
No, Stash is purely a memory layer. It does not include workflow retries—that's Temporal's job.
Does Temporal support MCP?
Temporal can integrate with MCP via workflows, but it does not ship a dedicated MCP server like Stash.
Which tool is better for a solo developer on a budget?
Stash is free self-hosted; Temporal Cloud has a free tier but scales into costs. For zero budget, Stash wins.
Can I query memory via SQL in Temporal?
Temporal stores workflow state in its own backend—you cannot directly SQL-query memory. Stash exposes agent memories as SQL tables.
Does Stash support human-in-the-loop?
No, Stash does not have signals or pause/resume. Temporal has built-in human-in-the-loop via signals.
Which is more suitable for long-running processes?
Temporal is designed for long-running, fault-tolerant workflows. Stash is for session memory, not process orchestration.
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Last reviewed: July 3, 2026