AI Agents1 month ago
MemoAIr - Realtime memory for voice AI agents
Real-time memory and context layer for voice AI agents with sub-10ms latency.
@SouravDaaa · X
- End to end personalised memory retrieval in 10ms. Would love some feedback here
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60 projects
Real-time memory and context layer for voice AI agents with sub-10ms latency.
@SouravDaaa · X
- End to end personalised memory retrieval in 10ms. Would love some feedback here
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
Persistent memory system for AI agents in Claude Code, Cursor, and other MCP-compatible applications.
FabianBeiner · HN
CMEM – Persistent Memory for AI Coding Agents
Benchmark version-control systems and coding agents on realistic development tasks.
videlov · HN
I was interested in answering this question so I built a benchmark comparing git, jj and gitbutler in agentic context https://vcbench.dev/ Disclaimer - I am a co-founder of GitButler
Hosted JSON database for storing agent memory with REST and MCP connectivity
@StuSim · X
hey Adam, I run , lightweight agent memory
Shared memory for AI coding agents to store team discoveries and reduce duplicate research.
snakaya · HN
Vibsync – One Shared Memory for Claude Code, Cursor and Codex (MCP)
Shared memory layer enabling Claude and ChatGPT to access common context over MCP.
12ziyad · HN
Shared memory graph for Claude and ChatGPT, over MCP
File-first memory runtime for AI agents with dashboard and HTTPS API access.
@memofsdev · X
Share context across AI agents so they remember your codebase and task history.
@dorikuio · X
AI agents have amnesia — Claude Code figures out the codebase, an hour later Codex starts from zero. So I built a shared memory + task board for every MCP agent — Claude Code, Codex, Cursor, Gemini CLI: Is this just my problem? Help me find out.
A shared memory layer that persists your decisions, preferences, and projects across different AI tools and devices.
upload — 跨 AI 的长期记忆层，让 ChatGPT、Claude、Codex、Hermes、OpenClaw、WorkBuddy 等共用同一份记忆，换工具换设备都接着上次继续，注册即用免装插件
Add persistent user memory to your AI agents with a single SDK.
u/foric0 · Reddit
Built a memory layer so I stop re-explaining my project to every AI tool Every new Claude or Cursor session starts from zero. Same stack, same conventions, same things I already tried and dropped, explained again. Agent Magnet fixes that. Learns as you work, shares one memory across Claude, Cursor, and Codex. Team memory too, one person learns something, the rest of the team has it. Not the first tool trying to solve this, a few others take the retrieve-everything approach.
Practice LeetCode problems with automated spaced repetition scheduling.
@JoydeepNath007 · X