GitNova

GitHub seismograph — discoveries and growing interest

trigora-dev/trigora

AI agentsRust#ai-agents#distributed-systems#durable-execution#checkpointing#developer-tools
Total stars
15
Today · UTC
+0since 19:35 UTC
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Durable execution for long-running AI agents and programs.

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About the project

A durable execution platform for long-lived AI agents and programs in TypeScript, Python, and Rust. Instead of replaying history, it uses Transparent Continuation Checkpointing to recover from committed continuation state after failures.

Useful for
  • Run an agent that waits for human approval via waitForEvent and survives a worker restart
  • Build a program with timers and cron triggers that runs for hours or days without losing state
  • Start the local runtime with trigora dev and test recovery after a process crash

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

0.7 Quiet Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 7, 2026, 20:36 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

025July 10, 2026October 7, 2026

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

  • Star-counter measurements on 2026-10-07 (UTC), 19:35–20:33: 15 → 15 stars (+0). This is the change over that interval.
  • Hacker News: “Show HN: Trigora – durable execution without history replay” — 9 points, 4 h ago.

Three GitHub discoveries in each edition

What they do, why they are gaining interest, and what to check before using them.

Editions at 10:00, 16:00, 22:00 MSK.

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Numbers

Total stars
15
Today
+0 stars measured 2026-10-07, 19:35–20:33 UTC, ≈ 0 by evening
Forks
0
Issues and pull requests
0
Watchers
1
Language
Rust
License
MIT
Latest release
v1.0.3 · October 6, 2026
Created
April 7, 2026
Last push
October 6, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Hacker News discussions
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