AI Agents1 month ago
ContextVault: Shared memory for AI systems
Store shared memories once and reuse them across AI systems and your team.
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team
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Store shared memories once and reuse them across AI systems and your team.
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team
Personal AI assistant with its own phone, inbox, and computer that remembers you and acts within your rules.
rohanrecommends · Product Hunt
Zinley Your Personal AI Representative for calls, email, and tasks
Task board for AI agents in VS Code with persistent context across chat sessions.
gb2d_hn · HN
It was with the transience of valuable agent session dialogue in mind that I built https://www.agentkanban.io - A key feature is context capture in the tasks which you create on the board and then progress in agent sessions. Supported agents are currently Claude and Github CoPilot in VS Code. All of your context is captured in the task and can be reloaded into new agent sessions at any point in the future. Tool use is intentionally discarded because it is proprietary in nature and therefore brea
Hosted JSON database for storing agent memory with REST and MCP connectivity
@StuSim · X
hey Adam, I run , lightweight agent memory
Managed hosting platform for AI agents with persistent workspaces, memory, and scheduled backups.
@hijak01 · X
check out the demo
Persistent memory API for AI agents. Hybrid scoring (semantic + recency + importance) that works with LangGraph, AutoGen, and CrewAI. Free to start.
@sunvic567 · X
Sync your AI agent setup and skills across platforms without vendor lock-in.
@matebenyovszky · X
I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.
Organize and retrieve your work sessions with AI-powered memory.
@vitverb · X
hi :) One tap back to the work you meant to finish. No tasks to manage. Nothing to set up. Local-first
Telegram bot that spawns independent coding agents with their own VMs and memory.
@saddambaialiev · X
I launched Agentic Cloud Computer today. A Telegram bot that spins up coding agents — each with its own VM, its own Telegram chat, its own memory. Runs Claude Code or Codex on the subscription you already pay for. Your first agent is free.
AI assistant that manages email and calendar with lasting memory.
Cloud9Trader · HN
1Presence – AI with memory at scale, layered recall and a vault you own
Share team knowledge with AI agents across Claude, Copilot, and other tools via MCP.
mat10112 · HN
Memsprout – share your AI context with teammates
Create a shared knowledge base that all your AI agents can access and update.
dariusmonsef · HN
OzBrain, a shared brain for knowledge between agents and your team