portablemind
AI-native work management with shared team memory
What it does
Projects, tasks, chat, and documents on one platform where your team and its AI agents share the same persistent memory and context — no re-explaining, no copy-pasting between tools. Agents work as governed teammates: they get roles, every action is audited, and every token is costed and attributed. Drive it all from Claude Code with a native MCP server. Model-agnostic — bring your own keys. One flat monthly price, no per-seat fees, because AI agents don't have seats. Free plan, no credit card.
Projects, tasks, chat, and documents on one platform where AI agents share persistent memory and context — with enterprise tenancy, role-based access, and a…
Plan projects, manage tasks, discuss & share knowledge, all with an AI teammate that understands your context, remembers your decisions, and works alongside you. portablemind looks like a chat and project tool for the first five minutes. Underneath sits a shared team memory, native AI agents, orchestration machinery, and an API deep enough to run your own coding agents. The full tour of what's under the surface. AI has compressed delivery cost without compressing prices. Five clauses are landing in new and renegotiated SoWs — productivity-sharing the headline among them. What CIOs and procurement leaders are actually putting on the table in 2026. An open-source SDLC framework built for…from portablemind.ai
Does the same job
all alternatives →- MAMy AI Native Resume2025 · ai.jakegaylor.com · ▲301
I've been deeply involved in working with AI agents and large language models (LLMs) for a while now. During a recent job search, I found myself repeatedly explaining my skills and experiences to various assistants. Around the same time, I was creating content for my website to help hiring teams understand my capabilities better and make informed decisions. MCP had started to gain momentum and I saw a way to reduce my toil. So I built an MCP server that can effectively communicate my qualifications as a job candidate. This server acts as an AI-powered resume, providing an understanding of my…
Construct Computer14d ago · construct.computer · ▲369Your AI coworker gets a computer. You get your day back.




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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, September 2026
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