A control system that makes running AI agents feel safe, not scary.
A control system that makes running AI agents feel safe, not scary.
Project Details
Updated 07/11/26 · Edited by orgOrdinate is an open-source system for multi-agent AI development. As AI agents become more autonomous and teams start running multiple agents in parallel, we're seeing a new category of risks and challenges occur.
Ordinate adds a safety middleware layer between developers and their AI agents. It provides sandboxed execution, file-level locking, real-time budget caps, heartbeat monitoring with automatic kill for stuck agents, human-in-the-loop validation and git backups. Think of it as Kubernetes for AI agents with safety as a first-class primitive.
My goal is to make Ordinate a step toward more reliable, safe, and comfortable multi-agent systems.
The project will be released under MIT license. Any team will be able to audit the safety mechanisms and contribute improvements.
Theory of Impact
Updated 07/17/26 · By grantmaking.aiThe biggest bottleneck in AI agent adoption is not capability - it's trust. Developers try agents, get burned by an uncontrolled incident, and walk away. Ordinate solves this by making work with AI agents safe, reversible and predictable by default.
When you set up an agent in Ordinate, you don't add safety as an afterthought - you configure it as part of the agent's identity: damage control level, file permissions, budget cap, validation workflow. The dashboard shows you exactly what every agent is doing, in real time. This transforms the developer's relationship with AI agents from "hope nothing breaks" to "I can see everything and I'm in control."
I see the impact as two-sided:
Safety side: every agent running under Ordinate is sandboxed, budget-capped, and monitored. Incidents are prevented, not reacted to.
Adoption side: developers who were burned out will have a reason to try again. Teams that were hesitant to run multiple agents will have a control plane. The total number of agent-hours under safe orchestration grows and with it, the productivity gains of AI-assisted work reach more teams.
People
Updated 07/17/26 · By grantmaking.aiTeam Member
Funding Details
- Feb 27, 2026
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- 3-4 months for stable open-source
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- seeking first grant
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Discussion
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