Alternatives to HQ
Compare HQ alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to HQ in 2026. Compare features, ratings, user reviews, pricing, and more from HQ competitors and alternatives in order to make an informed decision for your business.
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1
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 -
2
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 -
3
Vokal
Vokal
Vokal is a collaboration space for teammates and AI agents, built so founders and product teams can run agent work where the team can see it, review it, and reuse what matters. It gives human-agent work a shared place to start, move, stay visible, and become reusable context, instead of leaving agent runs, assumptions, and decisions trapped in private sessions across Claude Code, Codex, Cursor, ChatGPT, or other tools. Vokal connects channels, tasks, docs, files, apps, agents, memory, Knowledge Base, identity, access, runtime, and event logs around the work, helping teams keep output aligned, reviewed, controlled, and reusable. Agents can work in shared channels with named owners, roles, instructions, sources, statuses, permission scopes, app grants, memory scope, local project-file grants, and visible activity. Teams can use pre-built roles for engineering, product, growth, support, operations, research, and customer work, or bring their own local Codex, Claude Code, Hermes, etc.Starting Price: $20 per month -
4
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. -
5
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 -
6
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 -
7
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 -
8
HeyBrain
HeyBrain
HeyBrain is an AI-powered knowledge management platform that helps organizations centralize company information and make it accessible to employees and AI agents. The platform provides a shared knowledge layer for organizing documents, project context, business decisions, and reusable instructions. Its AI memory capabilities allow compatible AI assistants to retrieve relevant information across conversations and workflows without repeatedly providing the same background. HeyBrain supports document uploads, knowledge connections with Google Drive and Notion, and integration with AI tools through the Model Context Protocol (MCP). Its governance capabilities help organizations manage access to shared information, define agent permissions, and review source evidence behind AI-generated answers. The platform is designed to support enterprise knowledge retrieval, AI agent development, team collaboration, and secure information sharing across business applications.Starting Price: $30/month -
9
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 -
10
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 -
11
Coral
Coral
Coral is an open-source query layer that allows AI agents and developers to access data across APIs, databases, and file systems using SQL. The platform turns connected sources such as GitHub, Slack, Linear, Datadog, Sentry, Stripe, and PagerDuty into readonly tables that can be explored and joined together. Instead of building custom integrations, ETL pipelines, or API wrappers, teams can use Coral to query multiple systems from one runtime. Coral supports CLI and MCP access, making it usable with tools such as Claude Code, Codex, and other agent frameworks. The platform handles authentication, pagination, rate limits, schema mapping, caching, and semantic hints to improve accuracy and reduce cost. Coral helps engineering teams give AI agents safer, faster, and more useful context for production workflows.Starting Price: $249/month -
12
Multica
Multica
Multica is an open source project management platform for human and agent teams, built to turn coding agents into real teammates rather than separate tools. It gives humans and AI agents the same workspace, where agents can be assigned issues, report progress, reply in comments, raise blockers, ship code, and appear in the member list with profiles, avatars, and open-issue queues. Users can assign work to an agent the same way they would hand a task to a teammate, or open a chat window to ask it to draft an issue, answer a question, or handle a one-off request. Multica’s shared context layer keeps issue comments, attachments, reports, task history, and workspace knowledge accessible to both people and agents, while skills act as workspace-wide playbooks that let every agent reuse the same definitions and operating instructions.Starting Price: Free -
13
blume
blume
Blume is a desktop sidecar for AI coding agents that helps developers see what every agent is doing, keep project context consistent, and catch drift before it reaches the codebase. It works with tools including Cursor, Claude Code, Codex, omp, and Pi, bringing agent activity, hidden files, skills, hooks, rules, and provider usage into one place. The Agents view shows whether each coding agent is working, finished, or waiting for approval, while Setup exposes the instructions and configuration files shaping agent behavior. Usage tracking shows remaining plan limits and token burn across providers such as Claude, Codex, and Cursor so developers can avoid unexpected interruptions. Blume stores conversation history locally on the device and reviews rules, skills, and hooks on-device. Its Improve workflow looks for repeated signals of friction across conversations, clusters similar issues, and proposes concrete changes such as new rules or reusable skills.Starting Price: Free -
14
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 -
15
AgentOS
Devcore
AgentOS is the AI foundation for your business. Most teams already use AI, but every tool starts every task from zero: sales works in ChatGPT, someone prefers Claude, engineering lives in Cursor, and none of them know what the others know. AgentOS keeps your company's context, tools and skills in one place, and every AI tool your team uses works from it. Shared context: messages, docs, calls and records, searchable by every agent you allow. Connected apps: Gmail, Slack, Google Drive, HubSpot and more. Connect once and set exactly what each agent can read or write. Skills: write down how a job is done once, and every agent follows it the same way. Works with your tools: Claude, ChatGPT, Cursor and custom agents connect over MCP. Answers you can check: results link to their sources, and important actions wait for human approval. Free to start with 200 credits a month, no card required. Pro is $99/month and Team is $299/month. Built by Devcore.Starting Price: $99/month -
16
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 -
17
Kanwas
Kanwas
Kanwas is your team’s context brain: one place for teams and agents to create, edit, share, and compound product context. Instead of juggling Claude chats, local folders, Obsidian, VS Code, Git, and docs, Kanwas gives product teams a shared workspace where context stays alive. It is not just answers, not just outputs, and not starting from scratch; it is a place to think, collaborate, and get sharp deliverables. Kanwas builds shared context by learning about you, your business, and your decisions, making evidence, ideas, and trade-offs transparent to everyone. Canvas plus shared context creates alignment, letting teams and agents work over the same context while generating structured, execution-ready deliverables for every stage of implementation. Every decision and outcome makes the next thinking process and deliverable better than the last, turning stored knowledge into a living board that teams can think in. Kanwas includes a canvas for real work, bringing code, docs, tasks, etc.Starting Price: Free -
18
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 -
19
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 -
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
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. -
22
Joxo
Joxo
Joxo helps development teams coordinate AI coding agents across a shared project. It carries decisions, task ownership, updates, and handoffs between Claude Code, Codex, Cursor, Gemini CLI, and OpenCode. Teammates keep their preferred tools and their own AI subscriptions. A one-prompt setup and one-line join flow connect a team to the same project context. Joxo Pro costs $15 per person per month after a free trial.Starting Price: $15/month/user -
23
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 -
24
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 -
25
Raft
Raft
Raft is a real-time collaboration platform where humans and AI agents work together as teammates in channels, direct messages, threads, and tasks. Chat is the workspace, so people and agents share the same conversations, context, and project history without moving work between separate tools. Each agent is a persistent, long-running process with its own identity, memory, expertise, and workspace, allowing it to retain codebase knowledge, preferences, and past discussions across days and tasks. Agents can claim work, run in parallel, hand tasks to one another, review each other’s output, mention teammates, and keep progress visible in shared threads while humans set direction, steer the work, and make final decisions. Raft supports multiple agent runtimes, including Claude, Codex, Hermes, and others, so teams can use different models and computers for different roles within the same project. Existing external agents can also join channels like regular team members.Starting Price: $8.80 per month -
26
Vity
Maximem
Vity is a personal AI memory assistant for people who use several AI platforms. Its Chrome extension and cloud dashboard capture and organize conversation context, preferences, work history, and tasks, then make that information available across supported AI chats so users can continue work without re-entering the same background. Vity supports ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Manus, Genspark, Blackbox, Kimi, and Grok, along with Gmail and Google Calendar. Users can review, manage, export, or delete saved memory, and the extension captures context with user consent. Vity is designed for AI enthusiasts and power users, including professionals who use multiple assistants for research, writing, planning, and technical work. It is free to get started, with no credit card required.Starting Price: Free -
27
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 -
28
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 -
29
Flowtask
Flowtask
Flowtask turns Slack messages, emails, and documents into operational memory and accountable work. Every conversation is structured into an executable skills file, so each agent can understand what is open, who owns it, what is blocked, and what happened before without repeated context or manual updates. Its AI Task Builder reads conversations live, extracts requests, deadlines, sender details, attachments, decisions, and thread history, then creates tasks shaped for client deliverables, internal actions, follow-ups, approvals, escalations, or blockers. Smart Assignment routes each task to the right owner using workspace context and rules, while the Priority Engine interprets urgency from tone, service-level agreements, and timelines. Email-to-Task and Slack capture keep work visible without asking teams to change habits, and status synchronization keeps communication and execution aligned.Starting Price: $5.23 per month -
30
Hamster
Hamster
Hamster is an AI-first workspace designed to help developers and teams plan, structure, and execute projects by providing persistent context to AI coding agents across tools and workflows. It allows users to define a clear plan, brief, and context that can be injected into multiple AI development tools such as Claude, Codex, Gemini, Copilot, and others, ensuring that every agent operates with the same understanding of the project. Instead of relying on isolated prompts, Hamster centralizes instructions and project knowledge so agents can generate more accurate, consistent, and goal-aligned outputs throughout the development process. It works as a coordination layer for AI-driven building, enabling users to move their plans seamlessly between tools while maintaining continuity and reducing context loss. By supporting a wide range of AI coding environments, Hamster acts as a universal interface that connects different models and systems into a cohesive workflow.Starting Price: Free -
31
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 -
32
Atono
Atono
Teams don't have a coding problem anymore. They have a context problem. AI made producing software cheap, which exposed product context as the scarce resource — and agents can only act on context they can reach. Atono is a product engineering platform that keeps product context connected to the work. Stories and epics, Scrum and Kanban workflows, feature flags, and real usage data live in one system. The story is the hub: a single story carries its acceptance criteria, the flag controlling its rollout, the usage data proving it worked, and the AI context agents read. In a conventional stack those four live in four separate products, and context is destroyed at every handoff. A locally-run MCP server exposes 41 tools to Claude Code, Cursor, VS Code/Copilot, Windsurf, and Codex, so agents work from what your team decided instead of inferring it from code. Best fit: post-MVP SaaS teams of 25-250 engineers. Free for up to 25 users. Starter $19/user/month. Growth $39/user/month.Starting Price: $19/user/month -
33
Tokenrip
Tokenrip
Tokenrip (tokenrip.com) is a shared workspace for AI agents and the people who manage them. Use Claude, ChatGPT, Codex, Cursor, Grok and any MCP-compatible agent together on the same files, tasks and pinned decisions, so context carries across tools instead of getting lost in separate chats. Bring your own agents and models; Tokenrip does not run them. Features: multi-agent collaboration with agent-to-agent handoffs; human-in-the-loop approvals, where agents propose actions like sending an email and a person approves, edits or skips them; a live activity feed and audit log of every agent action; shared context through pinned guidelines every agent reads first; versioned files; revocable per-agent keys; and free guest access. Connect via MCP server, CLI or API. Used for content, sales research, reporting and client work. Free plan: 2,500 actions per month and 1 GB. Paid plans from $20 per member per month; agents and guests are free.Starting Price: $20/member/month -
34
Bloome
Bloome
Bloome is an AI-native group chat and agent platform built to let Claude, ChatGPT, DeepSeek, and any agent work as one team. You are not replaced; you are amplified. Instead of using a single assistant in a separate tab, Bloome brings people, agents, tools, and shared context into one conversation where agents are first-class members with profiles, member-list presence, DMs, threads, and mentions. Users can call an agent by mentioning it, reply to a thread or task, or bring several agents into one chat so they can delegate, share context, work in parallel, review each other’s output, and push toward the sharpest version. Bloome supports cross-role collaboration, where one agent drafts, another pushes back, and another catches what is missing, while human teammates stay in the same working thread to review and steer the work. Every discussion, revision, and decision stays in one shared workspace that anyone with access can revisit later. -
35
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 -
36
Kuudo
Openbridge
Kuudo is an integration platform that connects AI clients and reusable agent skills to Amazon advertising, seller, and vendor workflows through MCP servers. Teams can analyze campaigns, search terms, product listings, inventory, orders, and profitability using Amazon data processed in their own cloud environment. Kuudo supports Amazon Ads, the Selling Partner API, Vendor Central, and Amazon Marketing Cloud, and works with MCP-compatible clients including Claude, ChatGPT, Codex, Cursor, and Gemini. API access supports custom workflows. The free Community tier includes a monthly API-call allowance, while managed plans use usage-based billing.Starting Price: Free; $0.95/1,000 API calls -
37
Xirp
Spotify
Xirp is an agentic development environment built to give AI coding agents real organizational context instead of guesswork. It connects to your services, ownership, documentation, dependencies, and architectural decisions so every coding session starts grounded in how your systems actually work. Rather than seeing only the file being edited, it understands the larger system around it, including who owns upstream services, what depends on them, and why architectural choices were made. Its Workspace plugin for Spotify Portal keeps work items, sessions, and documentation in one place, preserving context when an engineer finishes a session so it is ready for the next person or agent. Xirp also turns knowledge generated during coding sessions into living documentation that stays current and feeds back into future work. It acts as a harness for the AI model you prefer, allowing teams to switch between Claude, Gemini, and Codex without losing context. -
38
Unstoppable AI
Unstoppable AI
Unstoppable is a desktop agent IDE for software developers and engineering teams working with AI coding agents. It brings Claude Code, Codex, Cursor, and other command-line agents into one workspace, where tasks can run in parallel across repositories with separate Git worktrees, terminals, and browser tabs. Users can create repeatable workflows for code review, issue triage, ticket planning, and other development tasks, and connect project context through GitHub, Linear, and Model Context Protocol (MCP) servers. The desktop app is available for macOS and Windows, with web agents and a mobile companion for remote access to workspaces. App features are free; agent usage can rely on a user's existing provider subscription or optional AI credits.Starting Price: Free -
39
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 -
40
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. -
41
StackRails
StackRails
StackRails is a software architecture and AI coding governance platform for engineering organizations. It builds a live knowledge graph of repositories, services, APIs, events, and cloud infrastructure, then provides coding agents with architecture and policy context through the Model Context Protocol (MCP). It supports Claude Code, GitHub Copilot, Cursor, and OpenAI Codex, and checks generated code against organization-defined rules on developers’ machines and in pull-request workflows. Teams can use it to map cross-repository dependencies, assess change impact, maintain architecture documentation, manage engineering policies, and run AI-assisted architectural reviews. StackRails is available as a hosted EU service, in customer-managed cloud environments on AWS, Microsoft Azure, or Google Cloud, and as an on-premises deployment.Starting Price: $15,000/year -
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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. -
43
Slite
Slite
Slite is the self-maintaining knowledge base: a single, verified source of truth for your team and for the AI agents that work with it (Claude, ChatGPT, Cursor). Slite Agent offers enterprise search from 20+ connected sources such as Slack, GitHub, Linear, Jira, Google Drive, Notion and HubSpot. It spots when docs drift out of date, drafts the fix, and sends every change to a human for review before it goes live. Ask gives cited, permission-aware answers from your docs and connected tools. MCP and a public API are included on every plan, so any AI tool can use Slite as company context. SOC 2 Type II and GDPR compliant, with SAML SSO, SCIM and audit logs on Enterprise. Built for teams of 50 to 1,000 people. Start with a 14-day free trial.Starting Price: $10/month/user -
44
Apigene
Apigene
Apigene MCP Gateway is the runtime layer that connects AI agents to APIs and MCP servers through the Model Context Protocol. It exposes agent tools, context, skills, and instructions as a single remote MCP endpoint that is fully managed and governed, making MCP native rather than experimental. Apigene provides the full agent foundation layer as one MCP Gateway, allowing agents to securely access APIs and MCP servers without custom glue code or framework-specific logic. Teams can build AI agents using chat, defining which APIs and MCP servers the agent can use, how it should reason, and how it should act without code. It supports intelligent tool selection, automatically matching the right API or MCP tool to each request, and multi-platform deployment across ChatGPT, Claude, Cursor, Gemini, VS Code, internal copilots, enterprise AI platforms, and custom apps.Starting Price: $200 per month -
45
Unabyss
Unabyss
Unabyss is a universal context layer for AI tools that connects once and carries the same live, structured context into every AI a user works with. It pulls information from daily work sources such as Slack, Gmail, Notion, Google Calendar, GitHub, Linear, Google Drive, meeting tools, and more, then extracts, organizes, tags, and keeps that context current automatically. Instead of leaving knowledge trapped inside one chatbot or frozen in a manually maintained context file, Unabyss lets Claude, ChatGPT, Cursor, Codex, Gemini, Perplexity, OpenCode, VS Code, OpenClaw, and other MCP-compatible tools work from the same picture. Each AI can retrieve only the relevant slice of context, structured by topic, source, sensitivity, project, account, and other attributes, so users do not have to repeatedly explain their role, preferences, decisions, clients, repositories, or current priorities.Starting Price: $13 per month -
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StarTeammate
Starteammate
StarTeammate is a cloud platform for creating AI teammates to help solo founders and small businesses handle digital work. Users can create multiple agents, connect the apps they use, and give agents access to a cloud computer and browser to carry out tasks in online tools. Scheduled tasks can run at set times, with results sent by email or delivered as files. An activity log provides a record of agent actions for review. The platform is designed for founders and small teams that want to delegate recurring or multi-step computer-based work to AI agents. Plan allowances are credit-based, and available usage depends on the selected plan. StarTeammate also supports connecting Claude Code and Codex through Model Context Protocol (MCP).Starting Price: $30/month -
47
Zaro
Zaro
Zaro is a workspace for building the agents, apps, and tools a team actually needs from the data the company already owns. It brings scattered context into one versioned, searchable, permissioned workspace where every document, call, decision, ticket, CRM record, Slack thread, file, and specification can become usable by agents and applications. Instead of letting context reset inside disconnected tools, Zaro makes intelligence compound: every agent run reads from the workspace, writes back to it, and makes the next run smarter. Teams can create a workspace for the whole company, a department, or a specific use case, then connect existing data without changing how people already work. Agents can be scheduled, triggered, or run on demand, built on MCP for AI tool connectivity, with support for any model, any framework, and no vendor lock-in.Starting Price: $19 per month -
48
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 -
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Conductor
Conductor
Conductor lets you run a team of coding agents on your Mac, giving each Claude Code or Codex agent its own isolated workspace so you can parallelize software work without losing control. Add your repo, and Conductor clones it and works entirely on your Mac. Deploy agents, and each one gets a separate git worktree where it can work independently. Then conduct: see who is working, what needs attention, review code, and merge finished branches. Conductor is built around the idea that developers are becoming AI managers, coordinating many agents at once instead of working through a single chat. It supports Claude Code and Codex, with model selection, Plan Mode, Fast Mode, reasoning controls when available, checkpoints, skills, and agent-specific session controls. Plan Mode asks the agent to make a plan before editing files, making it useful for broad, risky, ambiguous, or multi-file changes. -
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Intrascope
Intrascope
Intrascope is a BYOK team chat workspace for using multiple LLMs (GPT, Claude, DeepSeek, etc.) in one place, with shared persistent context called “Manifests”. Instead of prompts and decisions living in personal chat histories, teams keep reusable project context (docs, guidelines, tone, requirements) so outputs stay consistent and knowledge doesn’t disappear when someone leaves. Connect your own API keys, pay per usage (not per seat), and control which models get used per project.Starting Price: $39 month / $299 one-time
