Alternatives to BrainAPI
Compare BrainAPI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to BrainAPI in 2026. Compare features, ratings, user reviews, pricing, and more from BrainAPI competitors and alternatives in order to make an informed decision for your business.
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1
Qdrant
Qdrant
Qdrant is a high-performance, composable vector search engine built in Rust for production-grade semantic, hybrid, and agentic workloads. Combine dense vectors, sparse vectors, metadata filters, multi-vector representations, and custom scoring as primitives at query time. Written in Rust for memory efficiency, SIMD optimization, and predictable performance without garbage collection pauses. No wrappers, no bolt-ons, no legacy compromises — just a custom HNSW implementation and storage engine built specifically for vector workloads. -
2
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 -
3
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 -
4
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 -
5
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 -
6
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 -
7
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. -
8
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. -
9
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 -
10
Mem0
Mem0
Mem0 is a self-improving memory layer designed for Large Language Model (LLM) applications, enabling personalized AI experiences that save costs and delight users. It remembers user preferences, adapts to individual needs, and continuously improves over time. Key features include enhancing future conversations by building smarter AI that learns from every interaction, reducing LLM costs by up to 80% through intelligent data filtering, delivering more accurate and personalized AI outputs by leveraging historical context, and offering easy integration compatible with platforms like OpenAI and Claude. Mem0 is perfect for projects such as customer support, where chatbots remember past interactions to reduce repetition and speed up resolution times; personal AI companions that recall preferences and past conversations for more meaningful interactions; AI agents that learn from each interaction to become more personalized and effective over time.Starting Price: $249 per month -
11
EverMemOS
EverMind
EverMemOS is a memory-operating system built to give AI agents continuous, long-term, context-rich memory so they can understand, reason, and evolve over time. It goes beyond traditional “stateless” AI; instead of forgetting past interactions, it uses layered memory extraction, structured knowledge organization, and adaptive retrieval mechanisms to build coherent narratives from scattered interactions, allowing the AI to draw on past conversations, user history, or stored knowledge dynamically. On the benchmark LoCoMo, EverMemOS achieved a reasoning accuracy of 92.3%, outperforming comparable memory-augmented systems. Through its core engine (EverMemModel), the platform supports parametric long-context understanding by leveraging the model’s KV cache, enabling training end-to-end rather than relying solely on retrieval-augmented generation.Starting Price: Free -
12
Memdex
Memdex
Memdex turns every AI conversation into reusable local memory by auto-saving chats and bringing the right context back when users need it across ChatGPT, Claude, Gemini, and more. It solves the problem of scattered AI conversations that are hard to find, stuck inside separate tools, and difficult to reuse when starting a new chat. Users can click the Memdex button to save a conversation or turn on auto-save so every AI conversation is captured automatically across supported tools. Memdex then detects relevant context as the user types in any AI tool, highlighting matching words from saved conversations, like spell-check, but for context. When a match appears, users can attach the full previous conversation with one click, allowing the AI to pick up where the earlier discussion left off without re-explaining background, preferences, or project details.Starting Price: $7 per month -
13
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 -
14
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. -
15
MemMachine
MemVerge
An open-source memory layer for advanced AI agents. It enables AI-powered applications to learn, store, and recall data and preferences from past sessions to enrich future interactions. MemMachine’s memory layer persists across multiple sessions, agents, and large language models, building a sophisticated, evolving user profile. It transforms AI chatbots into personalized, context-aware AI assistants designed to understand and respond with better precision and depth.Starting Price: $2,500 per month -
16
Memorae
Memorae
Memorae is an AI-powered memory and productivity service that turns brain overload into a reliable system by unifying reminders, lists, briefings, context, files, and communication channels in one memory layer above the apps people already use. Instead of depending on scattered chats, emails, notes, screenshots, and calendars, users can capture information from WhatsApp, Telegram, email, the app, Chrome, and other channels, then retrieve it later from the same connected memory system. Memorae helps users create reminders, manage lists, organize files, sync multiple calendars, and interact across communication channels using simple text or voice messages. Its Memory Everywhere feature connects everyday inputs, so important details do not disappear inside silos, while long-term memory helps the system remember schedules, preferences, VIPs, rules, and recurring ways of deciding.Starting Price: $5.16 per month -
17
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 -
18
myNeutron
Vanar Chain
Tired of repeating to your AI? myNeutron's AI Memory captures context from Chrome, emails, and Drive, organizes it, and syncs across your AI tools so you never re-explain. Join, capture, recall, and save time. Most AI tools forget everything the moment you close the window — wasting time, killing productivity, and forcing you to start over. MyNeutron fixes AI amnesia by giving your chatbots and AI assistants a shared memory across Chrome and all your AI platforms. Store prompts, recall conversations, keep context across sessions, and build an AI that actually knows you. One memory. Zero repetition. Maximum productivity.Starting Price: $6.99 -
19
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. -
20
CMEM Cloud
cmem.ai
CMEM Cloud is the cloud sync layer for claude-mem, built to link AI agent memory everywhere through one private MCP link. claude-mem is the open source engine that takes notes while an agent works, and CMEM Cloud mirrors that local memory so agents can recall it across every session, machine, editor, and MCP-compatible client. Instead of making users re-explain context, paste old notes, or restart from zero, the system captures decisions, bug fixes, dead ends, environment notes, architecture choices, and other structured observations as the agent works. Those observations are stored in a temporal database, searched by meaning through vector recall, and made available through a private MCP endpoint that any compatible agent can read and write through. It starts with installing the local engine, letting a second model write structured notes out of band, syncing the local database to CMEM Cloud, and then recalling that memory anywhere.Starting Price: Free -
21
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 -
22
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. -
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
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 -
25
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 -
26
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. -
27
Letta
Letta
Create, deploy, and manage your agents at scale with Letta. Build production applications backed by agent microservices with REST APIs. Letta adds memory to your LLM services to give them advanced reasoning capabilities and transparent long-term memory (powered by MemGPT). We believe that programming agents start with programming memory. Built by the researchers behind MemGPT, introduces self-managed memory for LLMs. Expose the entire sequence of tool calls, reasoning, and decisions that explain agent outputs, right from Letta's Agent Development Environment (ADE). Most systems are built on frameworks that stop at prototyping. Letta' is built by systems engineers for production at scale so the agents you create can increase in utility over time. Interrogate the system, debug your agents, and fine-tune their outputs, all without succumbing to black box services built by Closed AI megacorps.Starting Price: Free -
28
Memories.ai
Memories.ai
Memories.ai builds the foundational visual memory layer for AI, transforming raw video into actionable insights through a suite of AI‑powered agents and APIs. Its Large Visual Memory Model supports unlimited video context, enabling natural‑language queries and automated workflows such as Clip Search to pinpoint relevant scenes, Video to Text for transcription, Video Chat for conversational exploration, and Video Creator and Video Marketer for automated editing and content generation. Tailored modules address security and safety with real‑time threat detection, human re‑identification, slip‑and‑fall alerts, and personnel tracking, while media, marketing, and sports teams benefit from intelligent search, fight‑scene counting, and descriptive analytics. With credit‑based access, no‑code playgrounds, and seamless API integration, Memories.ai outperforms traditional LLMs on video understanding tasks and scales from prototyping to enterprise deployment without context limitations.Starting Price: $20 per month -
29
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 -
30
LlamaIndex
LlamaIndex
LlamaIndex is a “data framework” to help you build LLM apps. Connect semi-structured data from API's like Slack, Salesforce, Notion, etc. LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models. LlamaIndex provides the key tools to augment your LLM applications with data. Connect your existing data sources and data formats (API's, PDF's, documents, SQL, etc.) to use with a large language model application. Store and index your data for different use cases. Integrate with downstream vector store and database providers. LlamaIndex provides a query interface that accepts any input prompt over your data and returns a knowledge-augmented response. Connect unstructured sources such as documents, raw text files, PDF's, videos, images, etc. Easily integrate structured data sources from Excel, SQL, etc. Provides ways to structure your data (indices, graphs) so that this data can be easily used with LLMs. -
31
Graphify
Graphify
Graphify is an open source knowledge graph engine that turns any input, including code, docs, papers, meetings, images, browser tabs, and commits, into one traversable graph with complete recall. It is built as persistent memory for AI coding assistants, giving tools like Claude Code, Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, Aider, Factory Droid, Kimi Code, Kiro, Pi, and Google Antigravity a queryable understanding of a project instead of making them repeatedly grep through files. Users can point Graphify at any directory, and it builds an initial corpus through AST extraction, semantic analysis, and Leiden clustering, transforming an entire codebase or document corpus into a graph in one pass. Unlike RAG pipelines that re-embed everything on every change, Graphify maintains a living graph that updates only affected nodes and edges when files change, allowing the rest of the corpus to stay intact even at enterprise scale.Starting Price: Free -
32
dotMemory
JetBrains
dotMemory is a .NET memory profiler that can be launched right from Visual Studio, used as a plugin in JetBrains Rider, or used as a standalone tool. dotMemory lets you profile applications based on any supported version of .NET Framework, .NET Core, .NET, ASP.NET web applications, IIS, IIS Express, Windows services, Universal Windows Platform applications, and more. On macOS and Linux, dotMemory can be used only as part of JetBrains Rider or as a command-line profiler. dotMemory lets you import raw Windows memory dumps obtained using the task manager or process explorer, and analyze them as regular memory snapshots. By doing so, you can take advantage of automatic inspections, retention diagrams, and other sophisticated dotMemory features. Understanding of how memory is retained in your application is essential in order to successfully optimize it. In this view, the hierarchy of dominators (objects that exclusively retain other objects in memory) is shown on a sunburst chart.Starting Price: $469 per year -
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Zep
Zep
Zep ensures your assistant remembers past conversations and resurfaces them when relevant. Identify your user's intent, build semantic routers, and trigger events, all in milliseconds. Emails, phone numbers, dates, names, and more, are extracted quickly and accurately. Your assistant will never forget a user. Classify intent, emotion, and more and turn dialog into structured data. Retrieve, analyze, and extract in milliseconds; your users never wait. We don't send your data to third-party LLM services. SDKs for your favorite languages and frameworks. Automagically populate prompts with a summary of relevant past conversations, no matter how distant. Zep summarizes, embeds, and executes retrieval pipelines over your Assistant's chat history. Instantly and accurately classify chat dialog. Understand user intent and emotion. Route chains based on semantic context, and trigger events. Quickly extract business data from chat conversations.Starting Price: Free -
34
Multilith
Multilith
Multilith gives AI coding tools a persistent memory so they understand your entire codebase, architecture decisions, and team conventions from the very first prompt. With a single configuration line, Multilith injects organizational context into every AI interaction using the Model Context Protocol. This eliminates repetitive explanations and ensures AI suggestions align with your actual stack, patterns, and constraints. Architectural decisions, historical refactors, and documented tradeoffs become permanent guardrails rather than forgotten notes. Multilith helps teams onboard faster, reduce mistakes, and maintain consistent code quality across contributors. It works seamlessly with popular AI coding tools while keeping your data secure and fully under your control. -
35
CANTAB
Cambridge Cognition
Originally developed at the University of Cambridge, the Cambridge Neuropsychological Test Automated Battery (CANTAB) includes highly sensitive, precise and objective measures of cognitive function, correlated to neural networks. CANTAB tests have demonstrated sensitivity to detecting changes in neuropsychological performance and include tests of working memory, learning and executive function; visual, verbal and episodic memory; attention, information processing and reaction time; social and emotion recognition, decision making and response control. Cognitive assessments are invaluable tools for understanding the role of specific brain functions across a range of disorders and syndromes; giving insight into underlying causes, identifying ways to detect the earliest symptoms and evaluating the effects of interventions designed to improve brain health. -
36
Bidhive
Bidhive
Create a memory layer to dive deep into your data. Draft new responses faster with Generative AI custom-trained on your company’s approved content library assets and knowledge assets. Analyse and review documents to understand key criteria and support bid/no bid decisions. Create outlines, summaries, and derive new insights. All the elements you need to establish a unified, successful bidding organization, from tender search through to contract award. Get complete oversight of your opportunity pipeline to prepare, prioritize, and manage resources. Improve bid outcomes with an unmatched level of coordination, control, consistency, and compliance. Get a full overview of bid status at any phase or stage to proactively manage risks. Bidhive now talks to over 60 different platforms so you can share data no matter where you need it. Our expert team of integration specialists can assist with getting everything set up and working properly using our custom API. -
37
Amelia
SoundHound AI
As the market-leading Digital Employee and Conversational AI solution, Amelia delivers the best elements of human interaction – conversation, expression, emotion and understanding – to user experiences every day, driving deeper connections and greater business value. Powered by Amelia, the Digital Employee Builder enables companies to design custom-made, no-code Conversational AI at scale for a variety of use cases, accelerating deployment speed and time-to-value. Amelia's brain uses episodic memory, process memory, intent recognition and emotional intelligence to respond to complex queries, process transactions and deliver personalized customer service. It's why she's the industry's Most Human AI™. Amelia stores facts, concepts, and the associations between them in her semantic memory. From standard operating procedures (SOPs) to policy documents, she can be trained to apply them to conversations. -
38
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. -
39
HybridClaw
HybridAI
HybridClaw is an enterprise-grade AI agent platform designed to function as a persistent digital coworker that unifies workflows across communication channels, tools, and execution environments into a single intelligent system. It provides a “shared assistant brain” that operates consistently across Discord, Teams, iMessage, WhatsApp, email, web interfaces, and terminal environments, ensuring that all users interact with the same memory, behavior, and execution logic. It combines persistent workspace memory, semantic recall, and knowledge-graph relationships to maintain context across long-running conversations and tasks, allowing it to remember projects, decisions, and interactions over time. HybridClaw enables end-to-end task execution by securely running tools, commands, and workflows within sandboxed environments, applying guardrails, permission controls, and audit logs to ensure safe and controlled automation.Starting Price: Free -
40
Anuma
Anuma
Anuma is a privacy-first, multi-model AI platform that unifies access to leading proprietary and open-source AI systems within a single interface while giving users full ownership and control over their data. It allows users to interact with models such as ChatGPT, Claude, Gemini, Grok, and open source alternatives like DeepSeek or Qwen without switching tools or losing context, enabling seamless workflows across different AI engines. At its core is a Private Memory Layer that stores user preferences, conversation history, and context in an encrypted, user-controlled environment, ensuring that sensitive data is not accessible to providers or stored centrally. This memory persists across sessions and models, allowing users to continue tasks without re-explaining information and maintaining continuity in complex workflows. It supports comparing multiple models simultaneously, building custom mini-apps and automations without code.Starting Price: $9.99 per month -
41
MoCA Cognition
MoCA Cognition
The Montreal Cognitive Assessment (MoCA) is a brief, 30-question test that helps healthcare professionals detect cognitive impairments very early on, allowing for faster diagnosis and patient care. MoCA empowers healthcare professionals and researchers to detect cognitive impairment related to conditions such as Alzheimer's disease, Parkinson's disease, Huntington's disease, Lewy Body Dementia, VCI/Stroke, frontotemporal dementia, brain metastasis, ALS, sleep behavior disorder, brain tumors, multiple sclerosis, head trauma, depression, schizophrenia, heart failure, substance abuse, HIV, COVID, and more. MoCA is regularly used by nurses, primary care and specialty physicians, occupational therapists, speech-language pathologists, psychologists, researchers, and other clinicians. It quickly and accurately assesses short-term memory, visuospatial abilities, executive functions, attention, concentration and working memory, language, and orientation to time and place.Starting Price: $20 per month -
42
Softspace
Softspace
Softspace is a new kind of tool for productivity, collaboration, and knowledge management. Build beautiful virtual workspaces where you always have room to do your greatest work. Computers are magic. They let us carry a lifetime's worth of knowledge in our pocket. But when we need to see how everything fits together, it feels like computers just get in our way. In virtual reality, you can work with information spatially. It's a new computing paradigm inspired by a very old place: the physical world. Which is why your brain is already so good at it. People have been using Softspace to make mood boards, build mind maps, create memory palaces, brainstorm, read scientific research papers, run strategy workshops, teach architecture courses, hold design reviews, give presentations, pitch investors, and do many other amazing things. -
43
Acontext
MemoDB
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.Starting Price: Free -
44
PaletteBrain
PaletteBrain
Write better, code faster and more accurately, and get answers to your questions faster than ever before. Improve your productivity with the press of a shortcut. Select a text from any application and fire up PaletteBrain. Paste the response back into your application with a shortcut. Use ChatGPT capabilities into the applications you love and use daily. Let PaletteBrain help you without disrupting your existing workflow. We do not store any of your templates or interactions you have with PaletteBrain on our end. However, as PaletteBrain is making API calls to OpenAI API, it falls under their privacy policy.Starting Price: $19 per month -
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TeamBrain
TheBrain
Exchanging ideas by email or instant message and staring at giant folder trees usually doesn’t inspire much innovation. Creating a visual network of your team’s thinking can help your team reach the tipping point for effective workflow and productive idea generation. TeamBrain enables fluid knowledge exchange and collaboration inside TheBrain's award-winning user interface. Tie together disparate resources in a unified map that evolves to reflect the best thinking. TheBrain's powerful sync capabilities ensure that no one ever loses the ability to work as part of the team even when they don't have a network connection. TeamBrain in the cloud doesn’t require any server software or IT support. If you'd prefer your own server so your data never leaves your private network, we also offer TeamBrain Server, which we will help you setup and maintain behind your firewall. Stay connected anywhere. Use your own server or our cloud infrastructure. -
46
Brain.fm
Brain.fm
Experience a new era of science-backed music and unlock your best self on demand. Brain.fm’s focus music is made to help you work better, by blending into the background so you can focus distraction-free, all while stimulating the brain with gentle rhythmic pulses in the music that support sustained attention. Other music is made to grab your attention, making it hard to think and work, even if you don’t realize it. Brain.fm’s functional music is designed from the bottom up to affect your brain and optimize your performance. Brain.fm holds patents on key processes for creating functional music, including technology to elicit strong neural phase locking, allowing populations of neurons to engage in various kinds of coordinated activity. At Brain.fm, we draw on neuroscience and psychology to develop hypotheses about how to make the best music—to help us study, to push us in a workout, to get us to sleep. Then, we create and test these sounds on a massive scale, to find out what works.Starting Price: $6.99 per month -
47
HBDI
Herrmann
The Herrmann Brain Dominance Instrument (HBDI) is a 116-question, highly validated diagnostic survey that measures thinking preferences across four integrated systems, metaphorically mapped onto the brain's quadrants. Developed by Ned Herrmann during his tenure as management education leader at General Electric, the HBDI was created to assess how thought processes and thinking preferences impact management and leadership development. Unlike other assessments that focus on behavior or personality, the HBDI provides insight into an individual's thinking preferences, influencing their approach to problem-solving and decision-making. It does not measure ability, aptitude, or capabilities, nor does it assess activity in specific localized areas of the brain. The HBDI has been utilized by over 4 million people in more than 60 countries and is available in 16 languages. It serves as a foundational tool for organizations aiming to harness cognitive diversity. -
48
Lumosity
Lumosity
Lumosity is a brain training program designed to exercise memory, flexibility, and more through engaging games. It targets cognitive skills such as memory, processing speed, and problem-solving by transforming laboratory tasks into fun, interactive games. Users receive actionable feedback and insights into their cognition, with daily workouts offering a fresh set of games to keep them challenged. The program adapts to individual strengths and weaknesses, ensuring a personalized experience. Lumosity offers over 50 games created by scientists and game designers, covering areas like speed, memory, attention, flexibility, problem-solving, word, and math. The platform has been utilized by over 100 million members worldwide. A randomized study conducted by Lumos Labs found that after 10 weeks, Lumosity users improved more than a control group on assessments of working memory, short-term memory, processing speed, problem-solving, fluid reasoning, etc.Starting Price: Free -
49
ClickUp Brain
ClickUp
ClickUp Brain is an AI-powered productivity platform that lets users search across apps or chat with advanced AI models to get instant answers. BrainGPT connects tools, files, conversations, and data into one unified intelligence layer for faster decision-making. Users can chat with premium AI models like Brain, Gemini, OpenAI, and Claude without switching applications. Universal Search makes it easy to find documents, messages, tasks, and files buried across connected tools. Talk to Text enables voice-powered productivity, allowing users to dictate polished messages, tasks, and documents up to four times faster than typing. BrainGPT also supports deep research and web search with reliable citations. Together, these capabilities replace multiple productivity tools with a single AI super app.Starting Price: $9 per month -
50
Quantib Brain
Quantib
Quantib Brain is an FDA-cleared and CE-marked radiology software solution for brain scan segmentation. Developed in collaboration with GE Healthcare, it functions as a plug-in for the Advantage Workstation (Server), offering automated brain structure quantification within a familiar software environment. The software enables longitudinal comparison of quantified brain volumes, including white matter, grey matter, intracranial volume, and cerebrospinal fluid, facilitating the tracking of atrophy development. Additionally, it provides the option for white matter hyperintensity segmentation and monitoring. Quantib Brain presents a clear overview of volumes for grey matter, white matter, ICV, CSF, and total brain volume in an informative results table. These results, supported by self-selected cross-sections, can be exported into a comprehensive report. The software ensures that all examination results can be shared instantly.
