AI · alternatives · 2026
24 alternatives to Statewave
Open-source memory runtime for production AI agents.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 2 we have checked on their own sites, 2 of them free or with a free tier.
- 1
Tighter instruction adherence in speech agents
Feb 2026 · developers.openai.com · its alternatives →
- 2
Runtimefree tier, from $99/mo▲303Sandboxed coding agents for everyone on your team
May 2026 · runtm.com · its alternatives →
- 3
Temporal Cloud▲337OpenAI and Temporal have teamed up to add Durable Execution to agents built using OpenAI’s Agents SDK, and today we released the new integration in Public Preview.
2024 · temporal.io · its alternatives →
- 4
Agentic problem solving in its current state is very brittle. I fell in love with it, but it creates as many problems as it solves. I'm Ben Cochran, I spent 20+ years in the trenches with full-stack Engineering, DevOps, high performance computing & ML with stints at NVIDIA, AMD and various other organizations most recently as a Distinguished Engineer. For agents to work reliably you either need massive parameter counts or massive context windows to keep the solution spaces workable. Most people are brute forcing reliability with bigger models and longer prompts. What if I made the problem…
May 2026 · github.com · its alternatives →
- 5
ScheduleWave▲128Simple Social Media Management with AI and automation.
2023 · schedulewave.com · its alternatives →
- 6
Build production-ready agents, fast.
2025 · github.com · its alternatives →
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Memori▲168Persistent memory from agent trace, not just conversation
May 2026 · memorilabs.ai · its alternatives →
- 9
A deterministic runtime for safe, controllable AI agents
Jul 2026 · solidstatehq.ai · its alternatives →
- 10
Kodosumi▲167Hi Hacker News, I’m part of the team behind Kodosumi. We built it because deploying agentic services in production was much harder than building proof-of-concepts. Many frameworks let you build agents, but when you want them to run long tasks, scale across machines, or be observed/monitored reliably, things fall apart. Kodosumi is our answer to that. It’s an open-source runtime that uses Ray + FastAPI + Litestar to let you: Deploy “agents” and “flows” and expose APIs easily, with minimal config (just one YAML) Scale horizontally for bursty workloads and long-running tasks without losing…
2025 · kodosumi.io · its alternatives →
- 11
Your agents. Your servers. Your keys. Your model.
May 2026 · platos.dev · its alternatives →
- 12
Open Source Context Infrastructure for AI Agents
May 2026 · ravbyte-ai.github.io · its alternatives →
- 13
The Agentrun Workflow DSL. Contribute to Parcha-ai/agentrun development by creating an account on GitHub.
28d ago · github.com · its alternatives →
- 14
The TLS for autonomous agent state.
Jul 2026 · memora.optitransfer.ch · its alternatives →
- 15
Agyn is an open-source Kubernetes-native runtime that moves AI agents like Claude Code and Codex from laptops to company infrastructure with the controls enterprises need. - agynio/platform
May 2026 · github.com · its alternatives →
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Persistent context. Reusable runtime infrastructure
Jul 2026 · its alternatives →
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Open-source AI agent runtime — build Agents in plain English
Jul 2026 · syntheticbrew.ai · its alternatives →
- 20
Love OpenClaw? Now ship it to production. Built in Rust.
Feb 2026 · github.com · its alternatives →
- 21
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 →
- 22
- 23ΤB
τ-Bench is an open benchmark for evaluating AI agents on grounded, multi-turn customer service tasks with verifiable outcomes. It's been great to see the community adopt it since launch — this is now the third iteration. With τ³-Bench, we're extending it to two new settings: knowledge-intensive retrieval and full-duplex voice. τ-Knowledge: agents must navigate ~700 interconnected policy documents to complete multi-step tasks. Best frontier model (GPT-5.2, high reasoning) hits ~25%. The surprising part: even when you hand the model the exact documents it needs, performance only reaches ~40%.…
Mar 2026 · its alternatives →
- 24
Runwallfree tier▲9A Runtime security layer that lets AI agents execute safely
Jul 2026 · runwall.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 →