Aegisora vs jurniti: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Aegisora and jurniti — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Aegisora
Aegisora
Narrow control plane for AI agents: enforce least-privilege on tool/API calls, block PII leaks, and generate human-readable audit logs.
Key features
- Sidecar proxy: deploys inside your VPC as a lightweight proxy so raw payloads and PII never touch third-party infrastructure.
- Least-privilege enforcement: block unauthorized tool calls and API requests based on runtime policies.
- Fail-closed compliance: on proxy or network disruption, policies default to fail-closed to prevent unverified execution.
- Immutable audit logs: every tool call, payload interception, and policy decision recorded as structured, human-readable logs.
- PII masking: intercept and mask PII in agent payloads before they leave your perimeter.
- Broad LLM & tool integrations: works with OpenAI, Anthropic, Azure AI, AWS Bedrock, GitHub, Slack, and Vercel out of the box.
- Governance controls: rule-based and dynamic policy libraries, plus RBAC/SSO and multi-tier approvals in Enterprise.
- Compliance-ready: SOC 2 / ISO compliance suite and custom SIEM integration in the Enterprise VPC tier.
Best for
- Security team enforces which tools an internal agent can call and blocks anything outside its least-privilege scope.
- Compliance officer generates SOC 2 / ISO evidence from immutable audit trails of every agent decision.
- CISO deploys AI copilots in a regulated environment while keeping raw payloads and PII inside the corporate VPC.
- Platform team masks PII in outgoing prompts before they hit a third-party LLM provider.
- SecOps investigates an agent incident using a full timeline of tool calls, prompts, and policy decisions.
- Enterprise standardizes runtime governance across many agents, LLM providers, and business units.
jurniti
jurniti
Managed 24/7 hosting for coding agents, each running in its own Firecracker microVM with your own model keys and no token markup.
Key features
- Firecracker microVM Isolation: Every agent runs in its own KVM-backed virtual machine with hardware-enforced tenant isolation instead of a shared-kernel container.
- Bring Your Own Key: OpenRouter, OpenAI or Anthropic keys live only inside the customer's VM — jurniti never sees them, never proxies calls and never marks up model spend.
- Multi-Harness Support: Runs Claude Code, Codex CLI, OpenClaw, Hermes, OpenCode, Devin CLI, Mastra and Pi, each in its own dedicated microVM.
- Fleet CLI: A jurniti command-line tool to boot agents, list fleet status, dispatch work and copy results back, so the whole fleet is managed from a terminal.
- Swarm Runtime: Boots dozens of isolated microVM workers at once and dispatches the same brief to every worker, with results collected in a single command.
- Flat Per-VM or Hourly Billing: A flat monthly or annual price per agent VM, or per-second metered On-Demand and Spot pricing for bursty workloads, with prepaid credits.
- Automated Provisioning: Payment triggers a magic-link sign-in and an auto-provisioner that has a live microVM running in about three minutes with no human in the loop.
- Custom Subdomain and Sidecars: Pro tiers add a custom subdomain, alongside separate microVM services for multi-agent communication and long-term agent memory.
Best for
- Always-On Coding Agents: Keeping a Claude Code or Codex agent working on a backlog overnight without leaving a laptop running.
- Secure Key Handling: Running agents for a team that cannot let model API keys leave its own infrastructure boundary.
- Parallel Agent Fleets: Dispatching one brief to fifty isolated workers to compare approaches or parallelize a large refactor.
- Bursty Batch Work: Using per-second Spot or On-Demand VMs for agents that only run a few hours a day, paying only for active runtime.
- Self-Hosting Alternative: Replacing hand-rolled VPS setups for open-source agent harnesses like Hermes, OpenClaw or OpenCode.
- Long-Running Agent Memory: Pairing an agent VM with a dedicated memory microVM so knowledge persists between sessions.
