AcontextMemoDB
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PaprPapr.ai
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Related Products
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About
Acontext is a context platform for AI agents. It stores multi-modal messages/artifacts, monitors agents' task status, and runs a Store → Observe → Learn → Act loop that identifies successful execution patterns, so autonomous agents can act smarter and succeed more over time.
Developer Benefits:
Less Tedious Work: Store multi-modal context and artifacts in one place by integrating all context data without configuring Postgres, S3, or Redis, and it only requires a few lines of code. Acontext handles repetitive, time-consuming configuration tasks, so developers don’t have to.
Self-Evolving Agents: Similar to Claude Skills, which require predefined rules, Acontext allows agents to automatically learn from past interactions, reducing the need for constant manual updates and tuning.
Easy Deployment: Open-source, one-command setup, One-line install.
Ultimate Value: Improve agent success rates and reduce running steps, then save costs.
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About
Papr is an AI-native memory and context intelligence platform that provides a predictive memory layer combining vector embeddings with a knowledge graph through a single API, enabling AI systems to store, connect, and retrieve context across conversations, documents, and structured data with high precision. It lets developers add production-ready memory to AI agents and apps with minimal code, maintaining context across interactions and powering assistants that remember user history and preferences. Papr supports ingestion of diverse data including chat, documents, PDFs, and tool data, automatically extracting entities and relationships to build a dynamic memory graph that improves retrieval accuracy and anticipates needs via predictive caching, delivering low latency and state-of-the-art retrieval performance. Papr’s hybrid architecture supports natural language search and GraphQL queries, secure multi-tenant access controls, and dual memory types for user personalization.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
AI agent builders, especially for production-grade agents with complicated workflow
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Audience
Developers and engineering teams building AI agents and context-aware applications that need persistent, high-accuracy memory and retrieval to maintain context across sessions and data sources
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
$20 per month
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMemoDB
Founded: 2025
Singapore
acontext.io
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Company InformationPapr.ai
Founded: 2024
USA
www.papr.ai/
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Categories |
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Integrations
Adobe Acrobat Reader
Amazon S3
ChatGPT
Claude
Discord
Gemini
GitHub
Jira
Model Context Protocol (MCP)
Next.js
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Integrations
Adobe Acrobat Reader
Amazon S3
ChatGPT
Claude
Discord
Gemini
GitHub
Jira
Model Context Protocol (MCP)
Next.js
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