Kheish

Kheish fills a gap that most agent frameworks ignore: durable state across failures, restarts, and multiple callers. If you've ever had an agent die mid-workflow because the client disconnected or needed an approval you hadn't built yet, Kheish's daemon-first model will feel like a relief. We'd reach for this when building incident response automation, customer support triage, or any multi-tool workflow that can't afford to lose progress. The shared channel model for multiple agents and humans on one durable thread is genuinely useful — it maps well to real ops scenarios like a PagerDuty alert where a planner, workers, and a human reviewer all participate. Where it bites: Kheish is early. The documentation shows ambition but the integration ecosystem is thin. You'll likely need to write custom tool connectors and work with the Rust-based daemon directly. There's no hosted cloud version, so you own the operational burden. And if your use case is simple Q&A or single-turn tasks, Kheish is overkill — reach for a serverless framework instead. Closest alternative: Temporal.io for durable workflows — but Temporal is Java/C# heavy and lacks Kheish's agent-specific primitives like persona-based identity and scoped memory. For agent-specific durable execution, Kheish is in a category of one, though early-stage. In practice, Kheish is best for teams that already have agent logic and need a runtime to make it production-hardy. If you're building from scratch, you may be tempted to pick up a framework like LangChain — but integrating Kheish under it could give you durability without rewriting orchestration.