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.
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HeyBrain
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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.
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PlatformPilot
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 knowledge
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Engram
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.
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