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ease
features
design
support

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Write a Review

Description

StateFabric is a compact infrastructure layer designed for AI agents that require additional context beyond just the chat history. When an agent begins to utilize tools and operates over extended sessions without restarting, relying solely on retained messages is insufficient; it becomes essential to track the following aspects: what events transpired, what changes occurred in the state, which tools were utilized, and what context should be factored into the upcoming model iteration. To address these needs, StateFabric maintains an append-only event log throughout agent operations, enabling the extraction of relevant context from this data. Currently, it offers a range of features, including durable session management and event storage, user/model/tool event timelines, the ability to reconstruct session states from recorded events, and a streamlined model-facing context. Additionally, it includes a user-friendly dashboard for analyzing sessions, inspecting raw payloads, reviewing compaction artifacts, and monitoring usage patterns. Furthermore, StateFabric supports integration with Google ADK through the package @statefabric/adk and facilitates direct usage in Node/REST environments via @statefabric/client, making it adaptable for custom runtimes. This versatility ensures that AI agents can operate more efficiently and effectively in complex environments.

Description

Hindsight is an innovative memory framework designed to enhance AI agents by enabling them to learn progressively rather than resetting their knowledge with each new interaction. Unlike traditional memory systems that primarily focus on recalling past conversations, Hindsight prioritizes the learning process, equipping agents with a persistent long-term memory through advanced biomimetic data structures. This functionality allows AI agents to keep track of essential facts, access relevant context, and engage in reflective reasoning based on their experiences. Hindsight is particularly beneficial for agents that require a deep understanding of user identities, previous discussions, evolving preferences, decision-making histories, and necessary behavioral adjustments across different sessions. To achieve this, it incorporates three fundamental operations: retain, which captures new information; recall, which accesses appropriate memories when required; and reflect, which aids agents in synthesizing observations, developing mental frameworks, and gaining insights from earlier interactions. By implementing these features, Hindsight ensures a more personalized and context-aware experience for users.

API Access

Has API

API Access

Has API

Screenshots View All

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Integrations

Agent Development Kit (ADK)
Agno
Amazon Bedrock AgentCore
AutoGen
ChatGPT
Claude Agent SDK
Claude Code
Codex CLI
ContextForge MCP Gateway
CrewAI
Dify
Flowise
Go
LiteLLM
Model Context Protocol (MCP)
OpenAI Agents SDK
OpenCode
Skills
Superagent
Vapi AI

Integrations

Agent Development Kit (ADK)
Agno
Amazon Bedrock AgentCore
AutoGen
ChatGPT
Claude Agent SDK
Claude Code
Codex CLI
ContextForge MCP Gateway
CrewAI
Dify
Flowise
Go
LiteLLM
Model Context Protocol (MCP)
OpenAI Agents SDK
OpenCode
Skills
Superagent
Vapi AI

Pricing Details

£10/month
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

J Gregory Technology Ltd.

Founded

2020

Country

United Kingdom

Website

statefabric.dev

Vendor Details

Company Name

Vectorize

Country

United States

Website

hindsight.vectorize.io

Product Features

Product Features

Alternatives

No Alternatives

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