ContextVault vs Postproxy: Which is Better in 2026?
A comprehensive comparison of ContextVault and Postproxy covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose ContextVault if:
- →You want more affordable paid plans (from $9.99/mo)
- →You need a broader feature set (6 features vs 5)
- →You need one vault every ai client reads from and writes to or memories scoped per user, per agent and per tenant
Choose Postproxy if:
- →You need one payload mapped to each platform, with per-platform results returned or comments, dms and reviews through the same api as publishing
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ContextVault vs Postproxy: At a Glance
Pricing Comparison: ContextVault vs Postproxy
Understanding the pricing differences between ContextVault and Postproxy is crucial for making the right choice. Here's how their plans compare side by side.
ContextVault Pricing
Postproxy Pricing
💡 Pricing takeaway: Both ContextVault and Postproxy offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from ContextVault and Postproxy stacks up.
What Makes Each Tool Unique
🔵 Unique to ContextVault
Features available in ContextVault but not in Postproxy:
- ✓One vault every AI client reads from and writes to
- ✓Memories scoped per user, per agent and per tenant
- ✓Durable across sessions rather than living in chat history
- ✓MCP and REST API access
- ✓Shared memory collections across an organisation on Team
- ✓Reduces per-request context load rather than stuffing every prompt
🟣 Unique to Postproxy
Features available in Postproxy but not in ContextVault:
- ✓One payload mapped to each platform, with per-platform results returned
- ✓Comments, DMs and reviews through the same API as publishing
- ✓MCP server plus verified n8n, Make and Zapier integrations
- ✓SDKs for Node, Python and Ruby with webhooks and retries
- ✓Separate per-profile and per-profile-group pricing models
Use Case Recommendations
Best for: ContextVault
ContextVault is a shared memory layer for teams using AI, built on the observation that individual AI memory does not compound across an organisation. Each person's assistant learns their working context and then that knowledge dies in their session history, so the next colleague asking the same question starts from zero and the team pays the onboarding cost repeatedly. ContextVault stores memories once in a single vault that every AI client reads from and writes to, scoped per user, per agent and per tenant, and durable across sessions — replacing the usual sprawl of scattered Markdown files and out-of-date local project folders. Beyond avoiding duplicated explanation, the pitch includes a concrete efficiency argument: pulling the right memory reduces the overall context load of each AI request rather than stuffing every prompt with the same boilerplate. Access is over MCP and a REST API, so it plugs into whichever clients a team already uses. Pricing is organised around seats, groups and memory count rather than tokens: a 7-day free trial gives 1 seat and 50 memories, Solo at $9.99/month gives 1 seat and 500 memories with full MCP and API access, and Team at $49.99/month covers 10 seats, 15 groups, 2,500 memories and 15,000 monthly queries with member management and shared collections. Enterprise removes the caps and adds data export and security-review support.
Ideal use cases:
- •Teams or individuals who need one vault every ai client reads from and writes to
- •Teams or individuals who need memories scoped per user, per agent and per tenant
- •Teams or individuals who need durable across sessions rather than living in chat history
- •Teams or individuals who need mcp and rest api access
- •Anyone focused on memory workflows
- •Anyone focused on mcp workflows
Best for: Postproxy
Postproxy replaces per-platform social integrations with a single API covering publishing, comments, direct messages, reviews and insights across YouTube, X, TikTok, Threads, Pinterest, LinkedIn, Instagram, Facebook, Telegram, Google Business and Bluesky. You send one payload; the service maps it to each platform's rules and returns a per-platform outcome rather than a single opaque success flag, which is the difference between an integration you can debug and one you cannot. The full engagement flow is exposed, not just publishing — replying to comments, answering DMs and managing reviews all run through the same contract, with webhooks, retries and logs behind it. There are official SDKs for Node, Python and Ruby, verified nodes and apps for n8n, Make and Zapier, and an MCP server so an agent in Claude, Cursor or a similar client can drive it directly. The pricing split is the part that shows who it is actually for: one model billed per connected profile for agents and automations, and a separate one billed per profile group for SaaS products and agencies publishing on behalf of clients, with each group covering up to eleven connected platforms. The documentation and integration pages are published per platform rather than as one combined reference, so the specific constraints of each network are visible before you write against them, and Bluesky is listed as coming soon.
Ideal use cases:
- •Teams or individuals who need one payload mapped to each platform, with per-platform results returned
- •Teams or individuals who need comments, dms and reviews through the same api as publishing
- •Teams or individuals who need mcp server plus verified n8n, make and zapier integrations
- •Teams or individuals who need sdks for node, python and ruby with webhooks and retries
- •Anyone focused on social-media workflows
- •Anyone focused on api workflows
🤖 Other AI Agent Infrastructure Tools to Consider
ContextVault and Postproxy aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
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Frequently Asked Questions
Is ContextVault better than Postproxy?
It depends on your needs. ContextVault offers 6 key features including One vault every AI client reads from and writes to and Memories scoped per user, per agent and per tenant, while Postproxy provides 5 features including One payload mapped to each platform, with per-platform results returned and Comments, DMs and reviews through the same API as publishing. ContextVault uses a freemium model with a free tier, while Postproxy is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is ContextVault cheaper than Postproxy?
ContextVault is cheaper, starting at $9.99/month compared to Postproxy's $17/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use ContextVault and Postproxy together?
Yes, many users combine ContextVault and Postproxy in their workflow. ContextVault excels at one vault every ai client reads from and writes to, while Postproxy shines with one payload mapped to each platform, with per-platform results returned. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between ContextVault and Postproxy?
While both are ai agent infrastructure tools, ContextVault emphasizes one vault every ai client reads from and writes to, whereas Postproxy is known for one payload mapped to each platform, with per-platform results returned. The best choice depends on your specific workflow and feature priorities.
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