nowfound

Alternatives

Products that do what Avela does

Deterministic execution authority for AI agents

  1. 1

    Production-tested architecture for autonomous Claude agents

    Apr 2026 · dvdshn.com

  2. 2
    Avery16

    Create a deterministic agent that runs on your hardware

    Jul 2026 · avery.software

  3. 3
    Manta AI148

    Your AI agent for autonomous web app testing

    Jul 2026 · mantaai.co

  4. 4
    BU138

    Openclaw in the cloud

    Mar 2026

  5. 5
    AEVS131

    proof-of-execution for AI agents

    Jun 2026 · aevs.fetch.ai

  6. 6
    VELA74

    Securely execute AI-generated & untrusted code

    Jun 2026 · vela-secure.vercel.app

  7. 7

    Control AI coding agents with limits, proof, + run receipts

    Jun 2026 · martinloop.com

  8. 8

    First context-aware and deterministic ai automation platform

    2025

  9. 9

    The TLS for autonomous agent state.

    Jul 2026 · memora.optitransfer.ch

  10. 10DB
  11. 11
    Clyro31

    Control AI agents safely at runtime

    Jun 2026 · clyro.dev

  12. 12

    Build autonomous Python agents with native Agent-to-Agent (A2A) communication - protolink/examples/ai_courtroom at main · nMaroulis/protolink

    28d ago · github.com

  13. 13AD
  14. 14

    Simple Deterministic Guardrails for LLM/Agent

    Feb 2026

  15. 15CA
  16. 16

    A deterministic runtime for safe, controllable AI agents

    Jul 2026 · solidstatehq.ai

  17. 17

    Deterministic offline release evidence for AI agents

    Jul 2026 · iisacc-justmoong.github.io

  18. 18LC

    Prompt instructions like 'never do X' don't hold up in production. LLMs ignore them when context gets long or users push hard. Limits sits between your agent and the real world. Every action — database writes, API calls, refunds — gets intercepted and checked against your rules before it executes. Deterministically. No LLM involved in enforcement. Three modes: Conditions: hard rules on structured data Guideance: validate LLM output before it reaches the user and give the agent chance to reason and retry Guardrails: scan for PII, toxicity, prompt injection etc One line to integrate: npm…

    Feb 2026 · limits.dev

  19. 19

    Deterministic regression testing for AI agents

    Mar 2026

  20. 20

    Deterministic numeric tools for AI agents, zero credits

    Aug 2026 · datagrout.ai

  21. 21AT

    In light of recent news about an agent deleting a production database, I thought now would be a good time to share this. As the use of AI tools in production is becoming more common, sadly so will the high profile incidents like the one mentioned. Fewshell is a terminal agent specifically designed to avoid this. There is no setting to enable command auto-approval. This is by-design, so that the user never has to second-guess or worry about accidentally having it enabled. Originally my intention was to build an AI mobile terminal to make typing shell commands easy. But with so many…

    Apr 2026 · github.com

  22. 22PE

    Show HN: Runtime authorization for Claude Code, Cursor, and Codex Hi HN, Fernando and I built Kastra. Kastra intercepts AI agent tool calls and evaluates them against deterministic policies before they execute. This is aimed at developers using coding agents like Claude Code, Codex, Cursor, and OpenClaw. We built Kastra after one of our Cursor agents almost executed DELETE FROM customers WHERE status='test' against a production database. We caught it before it ran, but it made us realize that nothing in our stack actually decided what the agent was allowed to do. What mattered for us wasn't…

    Jul 2026 · kastra.ai

  23. 23AS

    Hey HN, We’ve been experimenting with how to make AI agents more deterministic, observable, and production-safe, and that led us to build AgentML — an open-source language for defining agent behavior as state machines, not prompt chains. My co-founder posted before but linked to the project website instead of the repo, so resharing here. AgentML lets you describe your agent’s reasoning and actions as a finite-state model (think SCXML for agents). Each state, transition, and tool call is explicit and machine-verifiable. That means you can: - Reproduce any decision path deterministically -…

    Nov 2025 · github.com

  24. 24
    ARA8

    Give AI systems a memory of every decision they make

    Jul 2026 · aralabs.ai

Ranked by how close each launch is in meaning, then by votes. Refine with a description →