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Agentmemory vs Proxon (2026)

A side-by-side comparison of Agentmemory and Proxon on pricing, features, and fit, so you can decide which is right for you.

Last updated: July 16, 2026

Quick answer

Agentmemory and Proxon are both strong choices, but they fit different needs. Choose Agentmemory if you mainly need maintaining project context across long-running development sessions with ai agents — its edge is significantly reduces repetitive context-setting when using ai coding assistants. Choose Proxon if you need auditing all ai applications in use across a large enterprise to identify shadow it risks — its edge is provides comprehensive visibility into both approved and unauthorized ai tool usage. Agentmemory starts at approximately $9/month; Proxon starts at On request.

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Agentmemory logo
Agentmemory

Give your coding agents persistent memory across every session.

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Proxon logo
Proxon

Full visibility and control over every AI tool in your organization.

PricingFreemium
PricingPaid
Starts atapproximately $9/month
Starts atOn request
Free tierFree tier available with basic memory storage for individual developers
Free tierNo public free tier
RatingNot yet rated
RatingNot yet rated
Best forMaintaining project context across long-running development sessions with AI agents
Best forAuditing all AI applications in use across a large enterprise to identify shadow IT risks
Key strengthSignificantly reduces repetitive context-setting when using AI coding assistants
Key strengthProvides comprehensive visibility into both approved and unauthorized AI tool usage
Main drawbackRelatively new tool with a smaller community and fewer third-party integrations compared to established developer tools
Main drawbackPricing is not publicly available, making it difficult to budget without a sales conversation

Features compared

Agentmemory

  • Persistent memory storage across AI coding agent sessions
  • Seamless integration with Claude Code, Codex, and other LLM coding agents
  • Structured retrieval of project context, preferences, and past decisions
  • Lightweight SDK or API-based setup for quick developer onboarding

Proxon

  • Automated discovery and inventory of all AI tools across an organization, including shadow AI
  • Ownership assignment and policy binding per AI system
  • Real-time spend tracking and budget attribution for each AI tool
  • Centralized compliance and governance dashboard for IT and security teams

Pros & cons

Agentmemory

Pros

  • Significantly reduces repetitive context-setting when using AI coding assistants
  • Works with popular coding agents like Claude Code and Codex out of the box
  • Lightweight integration that fits into existing development workflows without major changes

Cons

  • Relatively new tool with a smaller community and fewer third-party integrations compared to established developer tools
  • Pricing and feature set may evolve quickly, requiring developers to adapt their integrations

Proxon

Pros

  • Provides comprehensive visibility into both approved and unauthorized AI tool usage
  • Directly links AI tools to owners, policies, and costs for clear accountability
  • Designed specifically for enterprise security and IT governance workflows

Cons

  • Pricing is not publicly available, making it difficult to budget without a sales conversation
  • May require significant onboarding effort to fully integrate with existing IT infrastructure

The verdict

Choose Agentmemory if

you mainly need to maintaining project context across long-running development sessions with ai agents. Its edge: significantly reduces repetitive context-setting when using ai coding assistants.

Choose Proxon if

you mainly need to auditing all ai applications in use across a large enterprise to identify shadow it risks. Its edge: provides comprehensive visibility into both approved and unauthorized ai tool usage.

Frequently asked questions

Is Agentmemory better than Proxon?

Neither is universally better. Agentmemory is stronger for maintaining project context across long-running development sessions with ai agents, with an edge in significantly reduces repetitive context-setting when using ai coding assistants. Proxon is stronger for auditing all ai applications in use across a large enterprise to identify shadow it risks, with an edge in provides comprehensive visibility into both approved and unauthorized ai tool usage. Pick based on your main task.

Which is cheaper, Agentmemory or Proxon?

Agentmemory starts at approximately $9/month and Proxon starts at On request. Free tier: Agentmemory — Free tier available with basic memory storage for individual developers; Proxon — No public free tier.

What is Agentmemory best for?

Agentmemory is best for maintaining project context across long-running development sessions with ai agents, helping ai coding assistants remember architectural decisions and coding conventions, enabling multiple ai agents to share a common memory store for team projects.

What is Proxon best for?

Proxon is best for auditing all ai applications in use across a large enterprise to identify shadow it risks, enforcing ai usage policies and mapping each tool to a responsible owner, tracking and controlling ai-related software spend across business units.

Do Agentmemory and Proxon have free plans?

Agentmemory: Free tier available with basic memory storage for individual developers. Proxon: No public free tier. Check each tool's pricing page for current limits, as plans change.