Alternatives to HeyBrain
Compare HeyBrain alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to HeyBrain in 2026. Compare features, ratings, user reviews, pricing, and more from HeyBrain competitors and alternatives in order to make an informed decision for your business.
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1
Glean
Glean Technologies
Glean is an enterprise AI platform that connects company knowledge, systems, and business context to help employees find information and complete work more efficiently. The platform integrates with workplace tools such as Slack, Google Drive, Jira, Confluence, SharePoint, GitHub, Salesforce, and hundreds of other enterprise applications. Glean combines enterprise search, AI assistants, agents, and automation capabilities to deliver accurate, context-aware answers across an organization. Built with permission-aware access controls, it ensures employees only see information they are authorized to access. The platform helps organizations reduce information silos, improve productivity, and accelerate AI adoption across teams. Glean enables enterprises to transform fragmented knowledge into actionable insights and workflows. -
2
PlatformPilot
DynG AI
PlatformPilot is a company brain for AI-first teams. It captures how your company actually works, your decisions, playbooks, and tribal knowledge, and turns it into a living memory your team and your AI agents can use to answer questions and take action across all your tools. Unlike search tools that only retrieve, PlatformPilot reasons across your systems, shows the why behind every answer, and acts on your own playbooks, in your own cloud, getting sharper every time it is used. It connects to your stack through the Model Context Protocol (MCP), so it works as a shared memory layer inside the tools your team already uses, including Claude Code, Claude Desktop, and OpenAI-based agents. Memory evolves as you work. - Living memory that learns from outcomes, not just stores notes - Reasoning across all your tools. We support +200 tools. - Plain-language search over your team's decisions, playbooks, and history - Self-organizing knowledgeStarting Price: $100 -
3
EverOS
EverMind
EverOS is a persistent memory infrastructure platform for AI agents that provides long-term, multimodal, cross-platform context across agent workflows. The system retrieves relevant memories before model calls, allowing agents to reuse prior context without repeatedly loading large histories into the prompt window. EverOS also includes self-evolving skills, which capture successful execution trajectories as cases and promote recurring patterns into reusable procedural knowledge. The platform can ingest PDFs, images, documents, spreadsheets, slides, Markdown, and URLs and convert them into searchable memory for inference-time retrieval. It supports cloud and self-hosted deployment, exports memories in Markdown, and integrates with tools such as Claude Code, Codex, OpenClaw, Hermes, MCP, and OpenAI- or Anthropic-compatible SDKs. EverOS achieves 93.05% on the LoCoMo long-term memory benchmark (research: arXiv:2601.02163).Starting Price: Free -
4
BrainAPI
Lumen Platforms Inc.
BrainAPI is the missing memory layer for AI. Large language models are powerful but forgetful — they lose context, can’t carry your preferences across platforms, and break when overloaded with information. BrainAPI solves this with a universal, secure memory store that works across ChatGPT, Claude, LLaMA and more. Think of it as Google Drive for memories: facts, preferences, knowledge, all instantly retrievable (~0.55s) and accessible with just a few lines of code. Unlike proprietary lock-in services, BrainAPI gives developers and users control over where data is stored and how it’s protected, with future-proof encryption so only you hold the key. It’s plug-and-play, fast, and built for a world where AI can finally remember.Starting Price: $0 -
5
SenseLab
SenseLab
SenseLab is a cloud-based memory and learning layer for AI agents and agent-driven applications. It provides shared knowledge spaces (“Rooms”) where agents and teams can record, retrieve, and share context across sessions, models, and tools. Agents can store findings, decision context, and outcomes; the service maintains versioned records and uses outcome feedback to adjust confidence in knowledge. SenseLab provides an MCP server and Python and TypeScript SDKs for connecting agent clients and applications through API-key access. Teams can use it to carry context between agents, coordinate work, review decision histories, and retain structured traces for evaluation or model-training workflows. It is intended for developers and organizations building systems with multiple AI agents. The vendor also documents a self-hosting option through its open-source codebase.Starting Price: $29/month -
6
Maximem
Maximem
Maximem is an AI context management and memory platform designed to give generative AI systems a persistent, secure memory layer that retains and organizes information across conversations, applications, and models. Large language models typically operate with limited session memory, meaning they lose context between interactions and require users to repeatedly provide the same background information. Maximem addresses this limitation by creating a private memory vault that stores relevant context, preferences, historical data, and workflow information so AI systems can reference it in future interactions. It operates between AI models and applications, ensuring that conversations, knowledge, and user data are consistently available across different tools and sessions. This persistent memory allows AI assistants to deliver responses that are more personalized, accurate, and context-aware because the system can retrieve previously stored information. -
7
Takibi Base
Takibi
Takibi is a shared knowledge base for AI agents. One human operator organizes documents into projects and folders and controls access with Profiles. Agents retrieve exact cited passages and an evidence support score via CLI or API; Takibi does not generate answers. The workspace also includes agent Notes (UNTRUSTED, Profile-scoped scratch with a fixed 30-day TTL; human overnight triage with Keep, Add to draft, or Remove, and draft export; never trusted Sources, not shared across Profiles, never auto-promoted), Conversations for agent-to-agent context, Tasks with review, and Open Knowledge Format export. -
8
Papr
Papr.ai
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.Starting Price: $20 per month -
9
Membase
Membase
Membase is a unified AI memory layer platform designed to help AI agents and tools share and persist context so they “understand you” across sessions without forced repetition or isolated memory silos, enabling consistent conversational experiences and shared knowledge across AI assistants. It provides a secure, centralized memory layer that captures, stores, and syncs context, conversation history, and relevant knowledge across multiple AI agents and integrations with tools such as ChatGPT, Claude, Cursor, and others, so all connected agents can access a common context and avoid repeating user intents. Designed as a foundational memory service, it aims to maintain consistent context across your AI ecosystem, reducing friction and improving continuity in multi-tool workflows by keeping long-term context available and shared rather than locked within individual models or sessions, and letting users focus on outcomes instead of re-entering context for each agent request. -
10
Memory AGI
Memory AGI
Memory AGI is a runtime memory layer for AI agents, built around the idea of giving agents real muscle memory. Hand over a slice of company data, and Memory AGI builds the organization’s knowledge and runtime memory layer, grounds agents in the business, and keeps that context current automatically. Your AI is only as good as the context you give it; without it, agents stay stuck at an intern-level, guessing at how the company runs. Memory AGI turns processes into knowledge agents that can actually execute, so they run reliably, show their work, and can be trusted with what they ship. It is built on three layers of muscle memory. Dynamic Ingestion captures and structures the company’s unique knowledge from voice notes, internal documents, or the tools where data already lives. The Runtime Memory Layer gives agents access to a live, de-duplicated context layer; a company knowledge base that humans, agents, and automations can all draw on to perform tasks like the best employees. -
11
OpenViking
OpenViking
OpenViking is an open source context database designed specifically for AI agents, built around a file-system paradigm that unifies the management of memories, resources, and skills. Instead of treating context as scattered chunks in a fragmented vector store, OpenViking organizes agent context into a virtual file system under the viking protocol, giving agents a structured way to store, navigate, retrieve, and observe the information they need. It is designed to help developers move beyond the hassle of manual context management by giving agents a minimalist interaction model for context, similar to reading and writing files. OpenViking supports hierarchical context loading, semantic retrieval, recursive retrieval, sessions, metrics, and observability, making it possible for AI agents to access the right level of information without stuffing everything into the prompt.Starting Price: Free -
12
MemClaw
Caura AI
MemClaw is a persistent-memory service for LLM-based agents and a governed shared memory layer for agent fleets. It is designed to help AI agents learn from each other by turning isolated agent context into a Company Brain with memory, governance, provenance, contradiction detection, and visibility scopes built in from day one. MemClaw separates an organization’s agent force, including tenants, fleets, nodes, and agents, from the governed memory plane through MCP Server, REST API, OpenClaw plugin, MemClaw Core, and persistent storage. Agents can write to and recall from the Company Brain through MCP-compatible tools, direct HTTPS calls, or OpenClaw integration, while MemClaw Core runs enrichment such as entity extraction, contradiction detection, PII scanning, and lifecycle transitions before anything is stored. Every memory can be stamped with a visibility scope, auto-classified into types such as fact, episode, decision, preference, rule, plan, commitment, action, and outcome.Starting Price: $49 per month -
13
Engram
Weaviate
Engram is a fully managed memory and context service purpose-built to help AI agents remember, learn, and improve over time. Instead of treating memory as an ever-growing pile of raw conversations and events, it turns noisy interaction data into structured, durable, and evolving memories. Applications can send raw text, complete conversations, or pre-extracted facts through a REST API or Python SDK without preprocessing. Engram then runs asynchronous pipelines that extract relevant information, transform it by deduplicating and reconciling it with existing knowledge, and commit a clean memory state without blocking the application’s main workflow. It resolves inconsistencies, adapts to changing preferences and time-evolving facts, and keeps context relevant and efficient. Agents can retrieve ranked memories in real time through vector similarity, BM25 keyword search, or hybrid retrieval, reducing the need to resend entire conversation histories.Starting Price: $45 per month -
14
MythOS
MythOS
MythOS is a shared memory system between you and every AI you use, built to help people stop re-explaining themselves across models, agents, and channels. It is designed for people who write to think, giving them a modular thinking system for structured notes, memos, contextual maps, and AI-powered workflows. Users can capture what they read, connect what they think, and publish what matters while keeping their library one click away from every AI. MythOS works as a personal knowledge operating system where memory, notes, ideas, resources, and context can be organized into structured documents that stay useful over time. Its approach treats knowledge as a process, not a one-time activity, so living documents can remain in progress, evolve, and connect with related people, projects, topics, and ideas. It supports contextual maps, public memos, private knowledge, AI-ready memory, exportable data, and workflows that help users build a durable layer of context.Starting Price: $10 per month -
15
HQ
Indigo AI
HQ is the shared AI context layer for teams, giving the whole team and every AI tool one workspace to work from, with knowledge, skills, and workflows compounding in one place, and any agent running on top. It works as an operating system for AI workers over Claude Code, Cursor, Codex, ChatGPT, and Claude chat through MCP, so every teammate and every agent can start from the same shared context instead of separate chat histories, scattered files, and siloed workflows. HQ turns one person’s best work into team infrastructure: any prompt or workflow can become a reusable /command, then /hq-sync ships it to the whole team so anyone can run it in one step. Knowledge that usually lives across decisions, docs, playbooks, policies, projects, code, and ideas accumulates in HQ as the team works, creating one source of truth that every agent can search, reuse, and build on. Agents can be deployed into email and Slack, acting on top of the team’s skills and knowledge with full context. -
16
Backboard
Backboard
Backboard is an AI infrastructure platform that provides a unified API layer giving applications persistent, stateful memory and seamless orchestration across thousands of large language models, built-in retrieval-augmented generation, and long-term context storage so intelligent systems can remember, reason, and act consistently over extended interactions rather than behave like one-off demos. It captures context, interactions, and long-term knowledge, storing and retrieving the right information at the right time while supporting stateful thread management with automatic model switching, hybrid retrieval, and flexible stack configuration so developers can build reliable AI systems without stitching together fragile workarounds. Backboard’s memory system consistently ranks high on industry benchmarks for accuracy, and its API lets teams combine memory, routing, retrieval, and tool orchestration into one stack that reduces architectural complexity.Starting Price: $9 per month -
17
Membase
Unibase
Membase is a long-term memory service for people and developers building AI agents. It brings information from conversations, files, web pages and connected apps into a persistent memory that users can review, correct, delete and export. A web app and Chrome extension let users manage memories, save browser content and share selected information with supported AI tools. Developers connect custom agents through MCP, the REST API, command-line interface, or Python and TypeScript SDKs. Separate memories and access controls support personal, project and client contexts, with controls to grant or revoke access. The hosted service stores and processes source content to build and retrieve memory.Starting Price: $0 -
18
ByteRover
ByteRover
ByteRover is a self-improving memory layer for AI coding agents that unifies the creation, retrieval, and sharing of “vibe-coding” memories across projects and teams. Designed for dynamic AI-assisted development, it integrates into any AI IDE via the Memory Compatibility Protocol (MCP) extension, enabling agents to automatically save and recall context without altering existing workflows. It provides instant IDE integration, automated memory auto-save and recall, intuitive memory management (create, edit, delete, and prioritize memories), and team-wide intelligence sharing to enforce consistent coding standards. These capabilities let developer teams of all sizes maximize AI coding efficiency, eliminate repetitive training, and maintain a centralized, searchable memory store. Install ByteRover’s extension in your IDE to start capturing and leveraging agent memory across projects in seconds.Starting Price: $19.99 per month -
19
RightAnswers
Upland Software
Enterprise knowledge management software for better support. Improves your agent-based and self-service support with AI-powered knowledge management software. Create a knowledge-sharing culture that delivers a better customer experience. Spread the power of knowledge across your organization. Enable every member of your organization with access to a central repository to contribute and retrieve support knowledge. Deliver a meaningful multi-channel user experience. Combine AI-enabled search, user-friendly interfaces, gamification, and federated content across multiple sources to ensure the ultimate customer experience. Drive engagement by keeping your knowledge base complete and up to date by detecting gaps in your knowledge base. Interactive dashboards offer insights into the health of your knowledge base and provide information on knowledge base usage, effectiveness, and adoption. -
20
DenserAI
DenserAI
DenserAI is an innovative platform that transforms enterprise content into interactive knowledge ecosystems through advanced Retrieval-Augmented Generation (RAG) solutions. Its flagship products, DenserChat and DenserRetriever, enable seamless, context-aware conversations and efficient information retrieval, respectively. DenserChat enhances customer support, data analysis, and problem-solving by maintaining conversational context and providing real-time, intelligent responses. DenserRetriever offers intelligent data indexing and semantic search capabilities, ensuring quick and accurate access to information across extensive knowledge bases. By integrating these tools, DenserAI empowers businesses to boost customer satisfaction, reduce operational costs, and drive lead generation, all through user-friendly AI-powered solutions. -
21
North
Cohere AI
Cohere North 2 is an enterprise agentic AI platform that combines AI agents, automation, organizational knowledge, security, governance, and administrative controls in a unified workspace. The platform is designed to run where an organization's data resides, with deployment options including private VPCs, on-premises environments, and Cohere's Model Vault inference platform. North 2 provides AI agents that can work with enterprise knowledge alongside natural-language automation tools for building and monitoring recurring workflows. Reusable Skills allow organizations to create capabilities that multiple agents can call, while Libraries provide shared knowledge and assets for employees and agents. Applications enable users to create documents, presentations, dashboards, and apps through conversational interactions, while Memory retains context across ongoing work. -
22
Docubix
Docubix
Docubix is an AI knowledge platform that helps organizations transform documentation into searchable knowledge bases. Import content from PDFs, documentation websites, Markdown, and text files, then retrieve accurate answers through AI-powered search grounded in your own information. The platform is designed for customer support, internal knowledge management, product documentation, developer documentation, and educational content. Organizations can create multiple knowledge bases, manage documents, monitor usage with analytics, and integrate AI-powered knowledge retrieval into their applications using REST APIs. By indexing company knowledge and providing natural language search, Docubix helps teams reduce the time spent searching documentation while delivering more accurate, context-aware answers based on trusted sources. A free plan is available for individuals and teams to get started.Starting Price: Free -
23
Cognee
Cognee
Cognee is an open source AI memory engine that transforms raw data into structured knowledge graphs, enhancing the accuracy and contextual understanding of AI agents. It supports various data types, including unstructured text, media files, PDFs, and tables, and integrates seamlessly with several data sources. Cognee employs modular ECL pipelines to process and organize data, enabling AI agents to retrieve relevant information efficiently. It is compatible with vector and graph databases and supports LLM frameworks like OpenAI, LlamaIndex, and LangChain. Key features include customizable storage options, RDF-based ontologies for smart data structuring, and the ability to run on-premises, ensuring data privacy and compliance. Cognee's distributed system is scalable, capable of handling large volumes of data, and is designed to reduce AI hallucinations by providing AI agents with a coherent and interconnected data landscape.Starting Price: $25 per month -
24
MemPalace
MemPalace
MemPalace is a local-first storage and retrieval system for AI workflows, built to give AI a memory while keeping the user’s words under their own control. It stores conversations verbatim instead of reducing them to summaries, then organizes that memory into a navigable “palace” structure inspired by the ancient memory palace technique. Conversations can be arranged into wings for people, projects, or topics, with rooms and drawers used to make information easier to locate, narrow, and retrieve later. It is designed for people who believe their words are theirs, with local-first storage, zero telemetry, and a privacy-focused approach that keeps memory on the user’s machine. MemPalace supports AI workflows through MCP tooling, including tools for palace reads and writes, knowledge-graph operations, cross-wing navigation, drawer management, and agent diaries.Starting Price: Free -
25
Cassidy
Cassidy AI
Cassidy securely integrates with your tools, leveraging company knowledge to automate tasks like customer support, lead qualification, RFP processing, and much more. Easily connect your company data and knowledge to AI to answer any employee questions, get updates on projects, respond to customers faster, and much more. Always accurate and on-brand. No more worrying about AI hallucinations - Cassidy’s knowledge base delivers reliable, verified and cited information from your company’s own knowledge. Ensure all your employees have instant access to the most current information they need, with your company’s knowledge centralized and synced in real-time. Enable your AI to complete even the most intricate workflows by leveraging the full context of your unique business.Starting Price: $149 per month -
26
Inflectiv
Inflectiv
Inflectiv is a data platform that converts raw files into structured datasets designed for AI agents and automation. Users can upload PDFs, documents, spreadsheets, JSON files, and websites. Inflectiv automatically structures this information so it can be queried through APIs, SDKs, or built-in chat agents. Instead of parsing unstructured documents, AI agents work directly with datasets that support filtering, querying, and reliable responses. Inflectiv supports building Q&A chatbots, Discord and Telegram bots, internal knowledge assistants, and dataset-powered applications. Datasets can be kept private, shared with teams, or published to the marketplace for others to use. Creators retain full ownership of their data and control access, permissions, and monetization. The platform is suitable for both technical and non-technical users who want to turn existing knowledge into reusable AI-ready intelligence without custom ingestion pipelines.Starting Price: $29.99 -
27
Onyx
Onyx
Onyx is an open source AI platform that integrates seamlessly with your company's documents, applications, and personnel, enhancing productivity across various teams. It enables users to find answers across all team applications, and AI assistants powered by your organization's unique knowledge, accessible directly within your workflow. Developers can build custom workflows using open-source APIs, facilitating the creation of AI applications tailored to specific needs. Onyx connects to over 40 applications, including Asana, Google Drive, Slack, and Zendesk, ensuring real-time synchronization with document-level access. The platform supports deployment in various environments, such as fully air-gapped setups within your Virtual Private Cloud (VPC) or on-premise, ensuring data security by preventing information from leaving your deployment. Document-level permissions are automatically inherited from connected sources.Starting Price: $16 per month -
28
Pega GenAI Knowledge Buddy
Pegasystems
Pega GenAI Knowledge Buddy is an AI-powered assistant that leverages natural language processing and machine learning to provide users with instant, accurate answers from an organization's knowledge base. By integrating seamlessly with existing content libraries, it enables both customers and employees to access information efficiently without manual searches. This tool enhances customer self-service by delivering concise, conversational responses across web and mobile platforms, reducing the need for direct support interactions. For service agents and sales representatives, Knowledge Buddy acts as a real-time aide, offering precise information to facilitate superior customer experiences. Additionally, it boosts back-office productivity by swiftly retrieving procedural documentation and guidelines, aiding in efficient task execution. It ensures enterprise-grade security, allowing organizations to control user access rights and maintain transparency. -
29
past.dev
past.dev
past.dev is a long-term memory API for developers building AI agents and applications. Applications send timestamped text from conversations, email, meetings, support records, CRM notes, and documents; the service derives memories and returns ranked results with dates and excerpts from the source data. Its API supports ingestion, batch ingestion, recall, deletion, project and identity management, audience-based access controls, and webhooks. Developers can connect through JSON endpoints or authenticated Model Context Protocol servers, and install companion plugins for Claude Code, Codex, Cursor, JetBrains IDEs, and Hermes Agent. The managed cloud service offers a console for API keys, usage, and request logs; enterprise deployments can run in a customer's AWS, Google Cloud, or Azure account. It is aimed at software teams adding persistent, source-grounded memory to AI agents and other applications.Starting Price: $99/month -
30
OpenMemory
OpenMemory
OpenMemory is a Chrome extension that adds a universal memory layer to browser-based AI tools, capturing context from your interactions with ChatGPT, Claude, Perplexity and more so every AI picks up right where you left off. It auto-loads your preferences, project setups, progress notes, and custom instructions across sessions and platforms, enriching prompts with context-rich snippets to deliver more personalized, relevant responses. With one-click sync from ChatGPT, you preserve existing memories and make them available everywhere, while granular controls let you view, edit, or disable memories for specific tools or sessions. Designed as a lightweight, secure extension, it ensures seamless cross-device synchronization, integrates with major AI chat interfaces via a simple toolbar, and offers workflow templates for use cases like code reviews, research note-taking, and creative brainstorming.Starting Price: $19 per month -
31
KnowyAI
SmartinfoLogiks
KnowyAI is an advanced AI-powered knowledge management platform designed to help organizations efficiently build, share, and manage their documentation and knowledge bases. It supports ingestion and analysis of multiple document formats like PDFs, Word, Excel, and wikis, making it suitable for product manuals, SOPs, and training content. The platform automatically extracts and indexes key information, enabling fast and precise content retrieval. Role-based access ensures users receive relevant information tailored to their needs, simplifying onboarding and training processes. KnowyAI also helps reduce training costs and document overload by centralizing and streamlining knowledge transfer. Its scalable architecture supports large document volumes while maintaining security and accessibility. -
32
Superpowered AI
Superpowered AI
Superpowered AI is an end-to-end knowledge retrieval solution purpose-built for LLM applications. We turn complex infrastructure into a few API calls. Give your LLMs access to private information that wasn’t in its training data, like internal company documents. Store old messages in a Knowledge Base and retrieve the most relevant ones each time the user sends a new message. Reduce hallucinations by putting relevant factual information directly in your prompts and instructing the LLM to only use the information it’s been given. Using a knowledge retrieval solution like Superpowered AI lets you retrieve the right information and insert it into your LLM prompts, enabling you to deliver highly relevant responses to your users. Create a knowledge base directly from local files and folders, or from a URL, and query via REST API, all in less than 10 lines of code. State-of-the-art multi-stage knowledge retrieval pipeline to give you the most relevant results. -
33
Morphik
Morphik
Morphik is an open source, multimodal Retrieval-Augmented Generation (RAG) platform designed to streamline AI applications over complex, visually rich documents. Unlike traditional RAG systems that falter with non-textual data, Morphik embeds entire pages, including diagrams, tables, and images, directly into its knowledge base, ensuring no context is lost during processing. This approach enables precise search and retrieval across diverse document types such as research papers, technical manuals, and scanned PDFs. Morphik's capabilities include visual-first retrieval, knowledge graph construction, and seamless integration with enterprise data sources through its REST API and SDKs. Its natural language rules engine allows users to define how data is ingested and queried, while persistent KV-caching optimizes performance by reducing redundant computations. Morphik supports the Model Context Protocol (MCP), facilitating direct access for AI assistants.Starting Price: Free -
34
Liminary
Liminary
Liminary is a knowledge-management platform designed to serve as a digital “knowledge companion” for professionals working with large volumes of research, content, or information. It enables users to capture and organise data from multiple formats, including articles, PDFs, videos, and meeting transcripts, into a unified library where each item becomes a structured “source.” When you save content, you can highlight key insights, annotate with personal notes, and build collections around projects or themes. Liminary then supports synthesis by automatically detecting connections between ideas, surfacing patterns you might overlook, and enabling you to ask questions. The platform also allows users to create output artefacts, such as research reports, investment memos, marketing briefs, or strategy decks that draw from their saved knowledge with source citations embedded. -
35
Hindsight
Vectorize
Hindsight is an agent memory system built to create smarter AI agents that learn over time instead of starting every conversation from zero. Most agent memory systems focus on recalling conversation history, but Hindsight is focused on making agents learn, not just remember. It gives AI agents persistent long-term memory using biomimetic data structures, helping them retain facts, recall relevant context, and reflect on experience as part of reasoning. Hindsight is designed for agents that need to understand who a user is, what has been discussed, what preferences have emerged, what decisions were made, and how behavior should adapt across sessions. It provides three core operations: retain, recall, and reflect. Retain stores new information, recall retrieves the right memories when needed, and reflect helps agents synthesize observations, form mental models, and learn from prior interactions.Starting Price: Free -
36
Dex
ThirdLayer
Joindex’s product Dex turns your browser into a single AI-powered workspace and “second brain” that understands your tasks, context, and workflows across all your tabs and connected apps so you can handle work faster without switching between tools. It connects with popular apps and services, remembers preferences and context, and surfaces relevant suggestions, notes, links, and actions right when you need them, helping with tasks like scheduling meetings, summarizing content, scraping and exporting data, managing emails, and automating repetitive steps directly in your browser. Dex organizes AI-generated notes and todos into retrievable memory, predicts what’s next based on your activity, and works across multiple applications and tabs so you don’t lose context or waste time digging for information, while privacy controls let you manage permissions and data access.Starting Price: Free -
37
DataQA
DataQA
Unlock all your company's knowledge inside Slack. DataQA is a Slack-native knowledge management app that helps teams bookmark, tag and save information inside Slack. Better access to information increases productivity, accountability and employee onboarding success. Bookmark important product discussions, screenshots, explainers. Keep track of links and content shared about companies and market trends. Save frequently asked questions to help new joiners. Follow topics of interest and get digests so you never miss anything. Save frequently-asked questions, shared screenshots and important discussions. Improve the onboarding experience for new joiners and senior employees. Unlike other apps, you don't need to leave Slack or rewrite any content. DataQA just works off your current flow. -
38
LangMem
LangChain
LangMem is a lightweight, flexible Python SDK from LangChain that equips AI agents with long-term memory capabilities, enabling them to extract, store, update, and retrieve meaningful information from past interactions to become smarter and more personalized over time. It supports three memory types and offers both hot-path tools for real-time memory management and background consolidation for efficient updates beyond active sessions. Through a storage-agnostic core API, LangMem integrates seamlessly with any backend and offers native compatibility with LangGraph’s long-term memory store, while also allowing type-safe memory consolidation using schemas defined in Pydantic. Developers can incorporate memory tools into agents using simple primitives to enable seamless memory creation, retrieval, and prompt optimization within conversational flows. -
39
MindKeepr
MindKeepr
MindKeepr is an AI-powered knowledge preservation platform that helps organizations protect and preserve their most valuable asset—employee expertise. By capturing knowledge from communications, documents, and workflows, MindKeepr transforms this information into AI agents that communicate just like your team members. The platform enables organizations to break down knowledge silos and create personalized digital experts that learn and adapt to your company’s unique processes. With seamless integrations and enterprise-grade security, MindKeepr ensures knowledge is accessible and secure, improving efficiency, productivity, and service consistency across teams. -
40
Corpora
Corpora
Harness the power of AI to find the answers to your questions from your documents. We can search for relevant documents without perfect keyword match, summarize takeaways from the document specific to your question, and extract key information from the document. Ask questions from your documents in a conversational way. Don't settle for basic keyword search. We searches all your company’s documents to give your teams the answers they need to keep running. Generate a shareable link and share it with your employees or embed Corpora chatbot on your website. People can use your sharing link to ask questions from your uploaded PDFs. Data comes from many sources. So we've built connectors to connect to your data sources such as Salesforce, Slack and many more. Corpora turns your entire data into one intelligent knowledge base.Starting Price: $5 per month -
41
MemU
NevaMind AI
MemU is an intelligent memory layer designed specifically for large language model (LLM) applications, enabling AI companions to remember and organize information efficiently. It functions as an autonomous, evolving file system that links memories into an interconnected knowledge graph, improving accuracy, retrieval speed, and reducing costs. Developers can easily integrate MemU into their LLM apps using SDKs and APIs compatible with OpenAI, Anthropic, Gemini, and other AI platforms. MemU offers enterprise-grade solutions including commercial licenses, custom development, and real-time user behavior analytics. With 24/7 premium support and scalable infrastructure, MemU helps businesses build reliable AI memory features. The platform significantly outperforms competitors in accuracy benchmarks, making it ideal for memory-first AI applications. -
42
Beloga
Beloga
The intelligent knowledge hub that transforms how power users and teams capture, connect, and evolve collective wisdom. In today's digital world, the greatest challenge is storing data from different sources in one place and retrieving insights from it at lightning speed. Harness scattered knowledge effortlessly. Beloga's capture feature instantly consolidates notes, files, documents, and links from various sources into one unified platform. Focus on learning while the logo handles organization, revolutionizing your information. Seamlessly search across multiple sources simultaneously, revolutionizing information retrieval from personal data to web insights. Customize your search experience by selecting one or multiple sources, ensuring the most relevant and accurate curated information at your fingertips. Create a digital sanctuary with a dedicated library tailored just for you. Safely and securely store all your thoughts, ideas, and knowledge in one centralized location. -
43
Macro
Macro
Macro is an open-source collaborative workspace that brings email, messaging, documents, tasks, calls, AI agents, and CRM together in a single application. The platform creates a shared AI memory that continuously connects information across the workspace, giving users and AI agents complete context for collaboration and decision-making. Macro features a keyboard-first email client with AI-assisted productivity, unified inbox management, and fast search designed to streamline communication. It also includes collaborative documents, integrated team chat, task management, and CRM capabilities that are tightly connected instead of existing as separate tools. Built-in AI agents can summarize conversations, manage tasks, generate content, and provide company-wide knowledge based on shared workspace memory. Macro helps teams replace multiple disconnected workplace applications with a unified, AI-powered collaboration platform.Starting Price: $40/user/month -
44
Memmy
Memmy
Memmy is a local-first AI memory layer that lets every AI tool remember the same version of you. Built for people who work with several assistants every day, it automatically reads authorized collaboration history from tools such as Cursor, Claude, and Codex, then turns scattered conversations, preferences, project context, technical decisions, progress, and recurring pitfalls into structured memory. Its workflow has three stages: Scan reviews selected histories on the user’s device; Organize distills, deduplicates, categorizes, and indexes useful information; and Inject gives the active AI only the most relevant memories through precise, on-demand matching instead of sending a complete data dump. This allows users to switch tools without rebuilding context, merge plans discussed across agents, document recent decisions, preserve writing preferences, and continue unfinished work.Starting Price: Free -
45
claude-mem
cmem.ai
claude-mem is an offline-first cloud memory for AI agents, built around an open source engine and a cloud sync layer that links agent memory everywhere through one private MCP link. It is designed so coding agents and AI assistants do not start from zero every session, every machine, or every editor. claude-mem takes notes while an agent works, capturing decisions, fixes, dead ends, environment notes, architecture choices, and other structured observations in a temporal database. CMEM Cloud then mirrors that local memory behind a private Model Context Protocol endpoint, allowing any compatible agent or IDE to read and write the same memory across tools such as Claude Code, Cursor, Windsurf, OpenCode, Codex CLI, Gemini CLI, and VS Code. It works locally first, with or without a network, while keeping memory synchronized when cloud access is available.Starting Price: Free -
46
GI JI
GI JI Agency
GI JI is a private-first desktop knowledge workspace for professionals who need AI over sensitive documents but cannot accept a black box. It answers questions from your own files and attaches the exact supporting passage to every claim, so any answer can be checked against its source in one click. Original sources stay separate from the Working Knowledge built from them, and nothing becomes reusable knowledge until a person has reviewed and approved it. Change a source and the knowledge built on it pauses for re-review. When the evidence does not support an answer, GI JI says so instead of inventing one. On a frozen 54-question benchmark it produced zero fabricated citations across both runs. Search, retrieval and answering run locally on your own machine. An optional Connected AI mode uses your own OpenAI account, and stops first to show exactly what a single request would send before you approve it.Starting Price: $79 one-time -
47
Verizon Knowledge Assist
Verizon
When customers pose critical questions to your business, they expect fast and efficient service, even when they’re dealing with virtual agents. Knowledge Assist uses artificial intelligence and machine learning to help agents in your contact center resolve customer issues quickly, accurately and consistently. Knowledge Assist is an AI-driven knowledge base integrated into contact center and virtual agents’ desktops to deliver up-to-date, accurate answers and guidance. Our solution helps your agents understand the intent of customers’ questions, provide consistent answers across channels, build trust and drive customer conversations. Knowledge Assist uses AI to empower your contact center agents with accurate, relevant information in real time. It blends highly crafted responses, integrates to relevant data sources, and reads internal and external websites and documents to create an evolving knowledge base that assembles the most relevant information. -
48
Collokia
Collokia
Is your organization taking full advantage of your collective knowledge? Most organizations have a huge amount of Collective Intelligence, but unfortunately is not exploited properly. Let your content reach the employees in context. People tend to search in the internet instead of searching in the intranet. With Collokia Context, you don’t need to change their habits, users may continue searching outside, but relevant internal content will be shown to them. Collokia agents integrate with the tools that your knowledge workers already use and serve as co-pilot, connecting them with information, resources or people when they need help. We can smoothtly integrate our products to your knowledge management system, authentication. or any other enterprise solutions that currently runs in your organization. Collaboration is crucial to improve creativity and productivity, the problem is how do you know with who to collaborate? who else is interested in the same subjects? -
49
Inkeep
Inkeep
Inkeep is an AI agent platform built to power trusted customer and internal assistants for modern customer operations teams. It enables businesses to deploy AI agents that support customers, deflect Tier 1 tickets, and guide users through complex issues. Inkeep also provides internal copilots that help teams resolve Tier 2 and Tier 3 tickets faster and automate manual workflows. The platform supports multiple use cases across customer service, product, documentation, sales, and marketing teams. Inkeep offers a flexible no-code visual builder alongside a TypeScript SDK, allowing both business users and developers to collaborate in one system. Its unified search and retrieval-augmented generation (RAG) ensures agents have accurate, up-to-date product knowledge. With enterprise-grade security, reporting, and integrations, Inkeep helps organizations deploy AI agents they can trust.Starting Price: $150 per month -
50
Hyperspell
Hyperspell
Hyperspell is an end-to-end memory and context layer for AI agents that lets you build data-powered, context-aware applications without managing the underlying pipeline. It ingests data continuously from user-connected sources (e.g., drive, docs, chat, calendar), builds a bespoke memory graph, and maintains context so future queries are informed by past interactions. Hyperspell supports persistent memory, context engineering, and grounded generation, producing structured or LLM-ready summaries from the memory graph. It integrates with your choice of LLM while enforcing security standards and keeping data private and auditable. With one-line integration and pre-built components for authentication and data access, Hyperspell abstracts away the work of indexing, chunking, schema extraction, and memory updates. Over time, it “learns” from interactions; relevant answers reinforce context and improve future performance.
