AI · alternatives · 2026
24 alternatives to Trigora – durable execution without history replay
Durable execution for long-running AI agents and programs. - trigora-dev/trigora
Trigora is a durable execution framework designed for long-running AI agents and programs. It enables reliable execution by preserving state without requiring history replay, allowing applications to resume from… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Hi HN! We’re the team behind Fiddler, and we recently built an Agent Cache feature. It works by capturing an LLM request/response pair and, once caching is enabled, serving subsequent matching calls locally so duplicate requests never hit the provider. It’s meant to reduce three pains that show up together in agent development: token cost, feedback-loop latency, and output non-determinism. We’d love to hear your thoughts.
Aug 2026 · telerik.com · its alternatives →
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Tines ▲557Hey HN! This is Yannick from Tines, really excited to share what we’re launching today. Tines 3B is a new product we’ve built for teams building agents, apps, and automations with AI, on top of the assumption that people are already doing this, whether or not IT or security knows about it. Finance, marketing, and more are building dashboards in Claude Code or Codex. None of it is malicious, people are doing exactly what they were asked to do. The issue is there's no easy way for that work to run securely: it ends up on a laptop or personal account, with a credential pasted directly into the…
Feb 2026 · tines.com · its alternatives →
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Hi HN! Today me and qianli_cs want to share a new open-source project we've been working on called Durable Swarm. It's a drop-in replacement for OpenAI’s Swarm that augments it with durable execution to make your agentic workflows resilient to failures, so that if they are interrupted or restarted, they automatically resume from their last completed steps. https://github.com/dbos-inc/durable-swarm We believe that as multi-agent workflows become more common, longer-running, and more interactive, it's important to make them reliable. If an agent spends hours waiting for…
2024 · github.com · its alternatives →
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Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline. - raiyanyahya/recall
Jun 2026 · github.com · its alternatives →
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Memori▲168Persistent memory from agent trace, not just conversation
May 2026 · memorilabs.ai · its alternatives →
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One memory, not one per tool. Cog gives AI agents a shared, structured memory layer using plain-text files — portable across Claude Code, Codex, Cursor, Gemini CLI, Windsurf, Copilot, and more.
Mar 2026 · lab.puga.com.br · its alternatives →
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Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Feb 2026 · github.com · its alternatives →
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Hey HN, Gabe and Alexander here from Hatchet. Today we're releasing Pickaxe, a Typescript library to build AI agents which are scalable and fault-tolerant. Here's a demo: https://github.com/user-attachments/assets/b28fc406-f501-442... Pickaxe provides a simple set of primitives for building agents which can automatically checkpoint their state and suspend or resume processing (also known as durable execution) while waiting for external events (like a human in the loop). The library is based on common patterns we've seen when helping Hatchet users run millions of…
2025 · github.com · its alternatives →
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We recently started to use agents to update some documentation across our codebase on a weekly basis, and everything quickly turned into cron jobs, logs, and terminal output. it worked, but was hard to tell what agents were doing, why something failed, or whether a workflow was actually progressing. We thought it would be more interesting to treat agents as long-lived workers with state and responsibilities and explicit handoffs. Something you can actually see and reason about, instead of just tailing logs. So we built Clawe, a small coordination layer on top of OpenClaw that lets agent…
Feb 2026 · github.com · its alternatives →
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Durable workflow automation in just a few lines of code - autokitteh/autokitteh
2025 · github.com · its alternatives →
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Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc. - CaviraOSS/LongMemory
Dec 2025 · github.com · its alternatives →
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Agent runs often fail after expensive model calls and executing tools that have real-world side effects. This problem is made even worse by how common it is to deploy agents to serverless environments. When your agent dies, it needs to be restarted, but doing so safely isn't easy and everyone building agents has to solve this same problem of durability. The stack you're running probably already has half of what you need for durable execution already though, ie, a queue or job runner that can invoke work at least once. kassette gives you the other half by journaling completed steps to object…
Jul 2026 · github.com · its alternatives →
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Steve from Temporal here. Temporal is an MIT open source project for reliable execution at scale. I adapted+extended some of OpenAI's Agents SDK samples to integrate with Temporal. These demo agents can survive process crashes, scale to millions of executions in parallel and have easy-to-implement human interactivity. Just add a couple of Python decorators to your OpenAI agent code, run Temporal workers and you're ready to go. Check the video I did with OpenAI showing this in action (it's linked in the repo). OpenAI actually use us for ChatGPT Images and also their Codex code writing agent…
2025 · github.com · its alternatives →
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Recall▲16One developer solves it. Every developer knows it.
Feb 2026 · recall.team · its alternatives →
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Legacy code migration triage across 113 languages with AI
Jun 2026 · gitlab.com · its alternatives →
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We built Orra after our AI agents crashed in production, costing us thousands in unnecessary LLM calls. It's a Plan Engine that sits between your AI app and execution environment, handling all the messy coordination so you can focus on your agents' core logic. Key features: * Works with any language or agent framework (Python, JS today, more coming) * AI-powered planning with domain safety guardrails * Production-grade reliability with exactly-once execution * Run tools as services to reduce latency and hallucinations Unlike traditional workflow systems, Orra was built specifically for the…
2025 · github.com · its alternatives →
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Markdown based AI agent memory with semantic search, hybrid retrieval, and offline-first sync between agents. - sqliteai/sqlite-memory
Apr 2026 · github.com · its alternatives →
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tilde.run▲11Bridging the data Infrastructure gap for AI. Ensure AI data governance, make AI training and agent runs reproducible, reduce access friction.
May 2026 · lakefs.io · its alternatives →
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Talamus▲3Durable local-first memory for AI agents, with citations
Jul 2026 · github.com · its alternatives →
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An agent that remembers across sessions can keep its memory as curated markdown files, as an auto-mined structured store, or as trained experience.
Aug 2026 · pinglin.tw · its alternatives →
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TIMPs▲9Persistent memory layer for AI agents
Feb 2026 · timps-website.vercel.app · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →