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Gibsonai

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Gibsonai helps users improve efficiency and achieve more through intuitive, powerful features for daily work.

Software DevelopmentFreeFree tier
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Type
Saas
Company
Gibsonai
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About Gibsonai

Gibsonai develops Memori, an agent-native memory infrastructure designed for production AI systems. Memori functions as an LLM-agnostic layer that transforms agent execution and conversational data into structured, persistent state. It automatically captures each chat turn and classifies the information into facts, preferences, rules, and summaries, giving users control over what is stored, how long it is retained, and where the data resides. The platform also provides targeted recall, selectively pulling only relevant context from across conversations and documents without requiring additional managed services. Its selective semantic search enriches searches with contextual understanding, improving accuracy while reducing token usage by up to 95% compared to full-context retrieval, as demonstrated by benchmarking against the LoCoMo dataset. Memori offers explainable results with clear lineage, showing why specific information was included based on entity, time, and source. The platform includes a memory graph for visualizing relationships between memories and a cloud service (Memori Cloud) for instant storage and search. Integration is designed to be simple, typically requiring just one line of code to drop the SDK into existing codebases, with no additional configuration needed for model calls and callbacks. Gibsonai appears to offer a free tier for getting started, though exact pricing and limits should be verified on the official pricing page.

Key Features

Automatic memory capture and classification (facts, preferences, rules, summaries)
LLM-agnostic architecture that works with various language models
Targeted recall that retrieves only relevant context across conversations and documents
Selective semantic search to improve accuracy without ballooning token costs
Explainable results and lineage tracing by entity, time, and source
Low token usage (up to 95% reduction in benchmarking tests)
One-line SDK integration with zero configuration
Memory graph visualization for exploring relationships between memories
Memori Cloud service for instant storage and search

Pros & Cons

Pros
  • LLM-agnostic, allowing flexibility in model choice
  • Automated memory classification reduces manual effort
  • Explainable results provide transparency for debugging and auditing
  • Token-efficient retrieval lowers operational costs
  • Simple SDK integration speeds up development
  • Memory graph offers intuitive visualization of stored knowledge
Cons
  • Requires integration into agent-based systems; not a standalone application
  • Free tier likely has usage limits that should be verified
  • Effectiveness depends on the quality and structure of agent conversations
  • Newer product may have a smaller community and fewer resources
  • Cloud service dependency may introduce latency or privacy considerations

Best For

Building conversational AI agents with persistent memoryDeveloping AI personal assistants that remember user preferencesEnabling context-aware document retrieval and question answeringManaging long-running agent conversations with structured stateReducing token costs in production AI workloads

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FAQ

Is Memori free to use?
Gibsonai appears to offer a free tier for getting started, but exact limits and pricing for higher usage should be verified on the official pricing page.
What LLMs does Memori support?
Memori is described as LLM-agnostic, meaning it should work with various language models, but specific supported providers are not listed in the available content.
How does Memori handle data privacy?
Based on the website, users control what is stored, for how long, and where. For detailed privacy policies, refer to the official Gibsonai documentation.
Can I use Memori with my existing code?
Yes, the website states that integration can be done with one line of code, and the SDK handles model calls and callbacks with zero configuration.
What is Memori Cloud?
Memori Cloud is a hosted service that enables instant storage and search of memories without additional setup. Details on pricing and features should be checked on the product page.
Does Memori support offline deployment?
The website does not explicitly mention offline deployment; the service seems to be cloud-based. For self-hosted options, it is advisable to contact the company directly.