Decision comparison
Praes vs AgentVault
Praes is no longer available, so this page is not a choice between two products a team can adopt today. Its site, praes.app, returned a deployment-not-found error at its home page and its pricing page when checked on 9 and 10 September 2026 and again on 5 October 2026, and www.praes.app does not resolve. The Praes descriptions on this page are historical context on what the product did, not a buying recommendation. When it was available, Praes and AgentVault answered two different questions about an OpenClaw agent. Praes answered "what did my agent do, and why?": it traced runs, showed cost, and let you edit memory and SOUL.md rules. AgentVault answers "what must my agent never do?": it blocks risky file reads, commands and network calls and asks you to approve them. AgentVault is a free MIT project whose code is on GitHub, so you can use it today, but it is an early single-maintainer tool. Choose AgentVault for runtime protection. For the safety and oversight half of what Praes offered, look at ProWorkbench, which governs local AI agents and their execution. AgentVault does not replace Praes's run tracing, cost tracking or memory editing.
Praes is no longer available as an active product
Praes is no longer available. Its site, praes.app, returns a deployment-not-found error at both its home page and its pricing page, checked on 9 and 10 September 2026, and www.praes.app does not resolve. This page is retained as historical context on what the product did — an observability cockpit for OpenClaw agent runs — rather than as a current buying recommendation, and it states no price because no source for one is reachable.
Active alternatives to evaluate
Architecture choice. These take different approaches to the same problem. Read the table as a fit question rather than a feature race.
These are different kinds of product — Agent Observability and AI Security.
Quick Comparison
| Decision factor | Praes | AgentVault |
|---|---|---|
| Primary Focus | Was observability for OpenClaw agents; no longer available. Praes said it showed every step of a run in one interface: timelines, memory context, tool calls, cost and guardrail results. Its named features were Activity Tracing, Memory Vault, Soul Editor, Cost Analytics, Tool Registry and Agent Console. | Action-level security for OpenClaw agents. AgentVault wraps the agent and blocks dangerous commands and sensitive file reads, logs outbound connections, and makes a person approve each risky action before it runs. |
| Pricing Model | Not available to buy. Praes is no longer available, and no source for a price is reachable: praes.app returned a deployment-not-found error at its home page and its pricing page on 9 and 10 September 2026 and again on 5 October 2026. Tier prices recorded before then are not a current option, so this page lists no Praes prices and makes no claim about free or paid plans. | AgentVault is free and open source under the MIT license: a GitHub project that wraps AI agents with action-level security monitoring for OpenClaw. It has no paid plans and publishes no prices; the agentvault.ai domain now belongs to a different company. Verified 2026-10-05 against https://github.com/hugoventures1-glitch/agentvault. |
| Starting Price | None: Praes is no longer available, so there is no plan to buy and no starting price to state. | $0: free and open source under MIT, with no paid plans. |
| Deployment | Was a hosted dashboard that an OpenClaw agent connected to. Its maker listed a zero-config connector, live sync of SOUL.md and MEMORY.md on save, and row-level security that scoped every query to the signed-in user. The service is no longer available: praes.app returns a deployment-not-found error and www.praes.app does not resolve, so there is nothing to connect an agent to. | Self-hosted software on the machine where the agent runs. Install with npm install -g agentvault, wrap the agent with agentvault wrap openclaw, and open the dashboard with agentvault dashboard. The audit log stays in a local SQLite file. |
| Best For | No longer available. Historically, Praes suited teams that ran OpenClaw agents and needed to see why a run failed, what it cost, and what memory and rules it used. It was for understanding and tuning agent behaviour after the fact, not for stopping actions as they happened. | A developer or small team running OpenClaw with real credentials who needs hard stops on risky actions now, and who can read and own an early single-maintainer codebase (created 2026-02-09, last pushed 2026-02-10). |
| Platform Support | Was built for OpenClaw agents, per its tagline "Observability cockpit for OpenClaw agents". Its maker named no other agent frameworks. | OpenClaw, the agent its README documents with agentvault wrap openclaw. Its README names no other agent frameworks; multi-agent monitoring is a roadmap item. |
Praes
- Primary Focus:
- Was observability for OpenClaw agents; no longer available. Praes said it showed every step of a run in one interface: timelines, memory context, tool calls, cost and guardrail results. Its named features were Activity Tracing, Memory Vault, Soul Editor, Cost Analytics, Tool Registry and Agent Console.
- Pricing Model:
- Not available to buy. Praes is no longer available, and no source for a price is reachable: praes.app returned a deployment-not-found error at its home page and its pricing page on 9 and 10 September 2026 and again on 5 October 2026. Tier prices recorded before then are not a current option, so this page lists no Praes prices and makes no claim about free or paid plans.
- Starting Price:
- None: Praes is no longer available, so there is no plan to buy and no starting price to state.
- Deployment:
- Was a hosted dashboard that an OpenClaw agent connected to. Its maker listed a zero-config connector, live sync of SOUL.md and MEMORY.md on save, and row-level security that scoped every query to the signed-in user. The service is no longer available: praes.app returns a deployment-not-found error and www.praes.app does not resolve, so there is nothing to connect an agent to.
- Best For:
- No longer available. Historically, Praes suited teams that ran OpenClaw agents and needed to see why a run failed, what it cost, and what memory and rules it used. It was for understanding and tuning agent behaviour after the fact, not for stopping actions as they happened.
- Platform Support:
- Was built for OpenClaw agents, per its tagline "Observability cockpit for OpenClaw agents". Its maker named no other agent frameworks.
AgentVault
- Primary Focus:
- Action-level security for OpenClaw agents. AgentVault wraps the agent and blocks dangerous commands and sensitive file reads, logs outbound connections, and makes a person approve each risky action before it runs.
- Pricing Model:
- AgentVault is free and open source under the MIT license: a GitHub project that wraps AI agents with action-level security monitoring for OpenClaw. It has no paid plans and publishes no prices; the agentvault.ai domain now belongs to a different company. Verified 2026-10-05 against https://github.com/hugoventures1-glitch/agentvault.
- Starting Price:
- $0: free and open source under MIT, with no paid plans.
- Deployment:
- Self-hosted software on the machine where the agent runs. Install with npm install -g agentvault, wrap the agent with agentvault wrap openclaw, and open the dashboard with agentvault dashboard. The audit log stays in a local SQLite file.
- Best For:
- A developer or small team running OpenClaw with real credentials who needs hard stops on risky actions now, and who can read and own an early single-maintainer codebase (created 2026-02-09, last pushed 2026-02-10).
- Platform Support:
- OpenClaw, the agent its README documents with agentvault wrap openclaw. Its README names no other agent frameworks; multi-agent monitoring is a roadmap item.
Public signals
Verified factual signals only. Bars appear only for like-for-like metrics with five weekly assessments for every tool; missing evidence stays explicit. These signals do not establish enterprise adoption, product quality, or total cost.
| Metric | Praes | AgentVault |
|---|---|---|
| GitHub commits, 90d(Product adoption) | Not available | 0 |
| GitHub stars(Product adoption) | Not available | 2 |
| Product Hunt comments(Community interest) | Not available | 1 |
| Product Hunt reviews(Community interest) | Not available | 0 |
| Product Hunt votes(Community interest) | Not available | 2 |
As of November 9, 2026 — updated weekly.
Interface Preview
Praes
Feature Comparison
| Feature | Praes | AgentVault |
|---|---|---|
| Observability | ||
| Run tracing | Had Activity Tracing: every step of a run, with timelines, per its maker | Real-time dashboard of what the agent is doing right now |
| Cost tracking | Had Cost Analytics, per its maker | No cost tracking in its README |
| Tool visibility | Had a Tool Registry, per its maker | Logs outbound connections; blocks dangerous shell commands |
| Activity records | Showed run steps, memory context and guardrail results in one interface, per its maker | SQLite audit trail of every agent action |
| Security | ||
| Dangerous command blocking | Showed guardrail results for a run; its maker described no blocking | Blocks rm -rf, curl | bash and privilege escalation attempts |
| Sensitive file protection | Was not described by its maker | Intercepts agent reads of ~/.aws/credentials and ~/.ssh/id_rsa |
| Human approvals | Was not described by its maker | Every risky action waits for explicit permission |
| Data access control | Row-level security scoped every query to the signed-in user | Runs locally; data stays in a local SQLite file |
| Agent Management | ||
| Memory management | Had a Memory Vault with pin, archive and color-coded tags | Outside its scope |
| Agent rules and identity | Had a Soul Editor for SOUL.md, synced on save | Fixed detection rules in the code; custom policies are a roadmap item |
| Setup | Had a zero-config connector for an OpenClaw agent; no service left to connect to | Three commands: install, wrap openclaw, open dashboard |
| Availability | No longer available: praes.app returns a deployment-not-found error (checked 9 and 10 September 2026 and 5 October 2026); www.praes.app does not resolve | GitHub repository online when checked on 2026-10-05; last push 2026-02-10 |
| Cost | Not available to buy; no source for a price is reachable | $0 license (MIT); no paid plans |
Observability
Run tracing
Cost tracking
Tool visibility
Activity records
Security
Dangerous command blocking
Sensitive file protection
Human approvals
Data access control
Agent Management
Memory management
Agent rules and identity
Setup
Availability
Cost
Which approach fits
Praes is no longer available, so this page is not a choice between two products a team can adopt today. Its site, praes.app, returned a deployment-not-found error at its home page and its pricing page when checked on 9 and 10 September 2026 and again on 5 October 2026, and www.praes.app does not resolve. The Praes descriptions on this page are historical context on what the product did, not a buying recommendation. When it was available, Praes and AgentVault answered two different questions about an OpenClaw agent. Praes answered "what did my agent do, and why?": it traced runs, showed cost, and let you edit memory and SOUL.md rules. AgentVault answers "what must my agent never do?": it blocks risky file reads, commands and network calls and asks you to approve them. AgentVault is a free MIT project whose code is on GitHub, so you can use it today, but it is an early single-maintainer tool. Choose AgentVault for runtime protection. For the safety and oversight half of what Praes offered, look at ProWorkbench, which governs local AI agents and their execution. AgentVault does not replace Praes's run tracing, cost tracking or memory editing.
When each approach fits
Praes (no longer available):
Praes cannot be chosen today, because it is no longer available. Its site, praes.app, returned a deployment-not-found error at its home page and its pricing page on 9 and 10 September 2026, and www.praes.app does not resolve, so there is no service to sign up for or connect an agent to. Historically, Praes was the option for understanding agent behaviour: why a run failed, what each run cost, which tools broke, and what memory and rules the agent used. Its Activity Tracing, Cost Analytics, Tool Registry, Memory Vault and Soul Editor covered that work in one dashboard, with row-level security on every query. If your need is the safety and oversight half of what Praes offered, ProWorkbench governs local AI agents and their execution. If your need is to stop risky actions on the machine where an OpenClaw agent runs, choose AgentVault: it blocks dangerous commands and sensitive file reads, asks a person to approve each risky step, and keeps a SQLite audit trail of every action. AgentVault does not replace Praes's cost tracking, memory editing or run-level debugging.
Choose AgentVault if:
Choose AgentVault when your main problem is preventing damage. It intercepts reads of ~/.aws/credentials and ~/.ssh/id_rsa, blocks rm -rf and curl | bash, logs outbound connections, and keeps a SQLite record of every action, with a person approving each risky step. It is free under MIT and runs on your own machine, so there is no service that can disappear. Its limits are maturity and scope: one maintainer, OpenClaw only, and custom policies still on the roadmap. It is also the only one of the two you can adopt: Praes is no longer available, and even when it was, it observed runs after the fact rather than stopping a harmful action while it happened.
These scenarios reflect the available product evidence. Your requirements, existing stack, and team expertise should guide the final decision.
Frequently Asked Questions
Can Praes and AgentVault be used together?
Not today. Praes is no longer available: praes.app returns a deployment-not-found error and www.praes.app does not resolve, so there is no Praes service to connect. When it was available, the two worked at different layers: Praes observed runs, cost, memory and tool use, and AgentVault blocks risky actions on the host. Neither project documented running with the other. AgentVault on its own can be used today: it logs all outbound connections and keeps a SQLite record of every action.
Is Praes still available, and what covers its use case now?
Praes is no longer available. Its site, praes.app, returns a deployment-not-found error at both its home page and its pricing page, checked on 9 and 10 September 2026, and www.praes.app does not resolve. There is no Praes service to sign up for or connect an agent to, and this page describes it only as historical context. For the safety and oversight half of what Praes offered, ProWorkbench governs local AI agents and their execution. For blocking risky actions on the machine where an OpenClaw agent runs, AgentVault is available today: it is free under MIT and keeps a SQLite audit trail of every action. AgentVault does not replace Praes's run tracing, cost tracking or memory editing.
Which tool works with more agent platforms?
Neither covers more. Both were built for OpenClaw. Praes described itself as an "observability cockpit for OpenClaw agents", and AgentVault's README documents one wrap command, agentvault wrap openclaw. Neither names support for other agent frameworks. Praes is also no longer available, so only AgentVault's OpenClaw support applies today. If you run agents on several frameworks, plan on other tools for the rest.
Is either tool free to use?
AgentVault is: it is free and open source under MIT, with no paid plans and no published prices, so the license cost is $0. Praes cannot be used at any price, because it is no longer available. praes.app returned a deployment-not-found error at its home page and its pricing page on 9 and 10 September 2026 and again on 5 October 2026, so no source for a Praes price is reachable, and the tier prices recorded earlier are not a current option.
Which tool is better for debugging agent failures?
Praes was built for this, but it is no longer available. Its Activity Tracing showed each step of a run, with timelines, memory context, tool calls, cost and guardrail results, so you could see where a run went wrong. AgentVault records every action in a SQLite audit log, which helps you investigate an incident, but it does not show model calls, memory or cost. Today, AgentVault's log shows what an agent did to the machine; it does not replace Praes's view of why a run failed.
Is AgentVault suitable for enterprise compliance requirements?
Not on its own. Its SQLite audit trail of every action and its human approvals are useful evidence, and running it on your own machine keeps that data in-house. But it is an early single-maintainer project with no company, paid support or SLA behind it, and custom security policies are still a roadmap item. An enterprise should treat it as open-source code to review and own, not as a compliance product.