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Trigora
Durable execution without history replay.
Trigora is a durable execution platform for long-running AI agents and programs. It lets applications survive crashes, waits, retries, and external events without replaying completed execution history. Built on the TCC engine, Trigora includes TypeScript, Python, and Rust SDKs, a local runtime and CLI, Trigora Cloud, plus built-in benchmarking and fault-injection verification.
I originally shared the TCC architecture before there was an engine or product. Since then, I built the portable TCC engine in Rust/WASM, the Trigora CLI and local runtime, TypeScript/Python/Rust SDKs, and Trigora Cloud.
The core idea is durable execution from committed state instead of rebuilding execution by replaying history, which keeps recovery extremely fast even as execution history grows.
I also wanted durability to be something developers can actually test, not just trust. `trigora bench` measures healthy-run performance, while `trigora verify` injects crashes after durable boundaries and checks that recovery matches the baseline without duplicate or missing effects.
Curious to hear how others building long-running agents or workflows are handling durability and recovery today.
About Trigora on Product Hunt
“Durable execution without history replay.”
Trigora was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #63 on the daily leaderboard. Trigora is a durable execution platform for long-running AI agents and programs. It lets applications survive crashes, waits, retries, and external events without replaying completed execution history. Built on the TCC engine, Trigora includes TypeScript, Python, and Rust SDKs, a local runtime and CLI, Trigora Cloud, plus built-in benchmarking and fault-injection verification.
On the analytics side, Trigora competes within Developer Tools, Artificial Intelligence, GitHub and SDK — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Trigora performed against the three products that launched closest to it on the same day.
Who hunted Trigora?
Trigora was hunted by Omar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Trigora including community comment highlights and product details, visit the product overview.
Omar
I originally shared the TCC architecture before there was an engine or product. Since then, I built the portable TCC engine in Rust/WASM, the Trigora CLI and local runtime, TypeScript/Python/Rust SDKs, and Trigora Cloud.
The core idea is durable execution from committed state instead of rebuilding execution by replaying history, which keeps recovery extremely fast even as execution history grows.
I also wanted durability to be something developers can actually test, not just trust. `trigora bench` measures healthy-run performance, while `trigora verify` injects crashes after durable boundaries and checks that recovery matches the baseline without duplicate or missing effects.
Curious to hear how others building long-running agents or workflows are handling durability and recovery today.