Launching October 27, 2026
AgentPlaza

AgentPlaza

AgentPlaza seals each AI agent in its own microVM, holds it to laws you write and pays it from a…

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  • Irfan Šarić[maker]· 18h ago

    For developers who need safe, governed AI agents, AgentPlaza isolates each agent in its own microVM, enforces custom laws, and manages payments from a central treasury. It lets you run a single agent or a fleet, monitor plans, arguments, and releases from one console. I’d love to hear what works and what could be improved 😊

AgentPlaza seals each AI agent in its own microVM, holds it to laws you write and pays it from a treasury you control. Run one machine or a fleet, and follow every plan, argument and release from one console. AgentPlaza seals each agent in its own microVM, holds it to laws you write and pays it from a treasury you control. Run one machine or a fleet, and follow every plan, argument and release from one console. The orchestrator reads every request, turns it into a plan and decides who builds it. Nothing big happens without the mayor's sign-off, and you can override any call. Code work starts as an OpenSpec change: proposal, design, tasks. Other work gets a brief, research and a plan, reviewed before anyone writes a line. Builders, researchers and writers take tasks, push to the plaza's git, and hand in files to the Library. Any model you allow.
  • Each agent runs in its own microVM
  • Govern agents with custom laws (JHRL)
  • Built‑in treasury for task payments
  • Console for overseeing plans, conversations, and releases
  • Supports fleet deployment across multiple nodes
  • Open‑source, runs on Windows, macOS, Linux, Raspberry Pi
  • Govern agents with custom laws
  • Control budgets via a treasury
  • Manage a fleet from a single console
  • Open‑source for Windows, macOS, Linux, Pi
  • Govern agents with custom laws you write
  • Control budgets via an on‑chain‑style treasury
  • Manage a fleet of nodes from a single console
  • Supports Windows, macOS, Linux and Raspberry Pi

AgentPlaza runs each AI agent in an isolated microVM, enforces custom laws, and manages payment via a treasury.

for
Developers building and governing autonomous AI agents.
pricing
open source
license
Apache-2.0
JumpHash/agentplaza 4 0Rustupdated 19 hours ago
  • v0.3.4AgentPlaza 0.3.4a day ago
  • v0.3.3AgentPlaza 0.3.3a day ago
  • v0.3.2AgentPlaza 0.3.22 days ago
works withDeepSeekMistralOpenRouterJetBrains IDEsNeovim

Key features

6 features of AgentPlaza
  • MicroVM isolation — Each agent runs in its own KVM-based microVM with snapshot and rollback support.
  • Custom law enforcement — User-defined JHRL laws check every tool call and can block or record violations.
  • Treasury & escrow — Tasks are escrowed in credits; completed work is paid and agents earn reputation.
  • Orchestrator & council — A mayor-like orchestrator approves plans and a council votes on new agents and tools.
  • Multi-engine support — Twelve LLM engines (Claude, GPT, Gemini, etc.) are available and governed by the same laws.
  • Editor integrations — Agents can be driven from Zed, JetBrains IDEs, Neovim and return results as pull-requests.

Use cases

  • Securely run a fleet of autonomous coding agents that must obey company policies
  • Govern AI-driven data analysis pipelines with audit-ready transcripts
  • Create sandboxed agents that access external APIs only through a controlled gateway

AgentPlaza vs alternatives

AgentPlazaLangChainLlamaIndexDevinCrewAI
Best forMicroVM-isolated, law-governed AI agentsFramework for custom LLM applicationsData-centric LLM retrievalAutonomous AI software engineerCoordinating multiple AI agents
PricingOpen sourceFreeFreeSubscriptionSubscription
DevHunt upvotes10000
LaunchedOct 2026————
  • AgentPlaza vs LangChain: LangChain is a library for building LLM apps, not a full orchestration platform with microVM isolation and law enforcement.
  • AgentPlaza vs LlamaIndex: LlamaIndex focuses on data-grounded retrieval, while AgentPlaza provides sandboxed execution and payment management.
  • AgentPlaza vs Devin: Devin offers autonomous AI software engineering but lacks built-in VM isolation and treasury features.
  • AgentPlaza vs CrewAI: CrewAI enables multi-agent workflows but does not provide microVM sandboxing or custom law enforcement.

AgentPlaza FAQ

How are agents isolated?+

Agents run in KVM microVMs (Linux), Hypervisor.framework (Apple silicon), or Windows Hypervisor Platform, each with its own memory, disk and process space.

Can I change the enforcement rules at runtime?+

Yes, JHRL laws can be edited while the system is running and are applied to all subsequent tool calls.

Where are secrets stored?+

Model keys, git tokens and connector secrets stay on the hub and are accessed by agents only through the gateway.

What happens if an agent makes a disallowed call?+

The call is refused, the refusal is recorded on the agent’s record, and the orchestrator can intervene.

Can I run AgentPlaza on my own hardware?+

Yes, you can host the hub and nodes locally; all components are open source and run on Windows, macOS, Linux, or Raspberry Pi.

How do I integrate the agents with my IDE?+

Use the `agentplaza acp` command; editors like Zed, JetBrains IDEs and Neovim send tasks to agents and receive approvals as pull-requests.

Summarized by DevHunt from agentplaza.io · Oct 20, 2026. Details may change; check the official site.

What people say

1 quote from around the web
  • “Built AgentPlaza: an open-source "town" for AI agents. Every agent lives in its own microVM: no API keys, no direct network.”

    Reddit