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Tech stack
31 projects
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)
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
Hosted JSON database for storing agent memory with REST and MCP connectivity
@StuSim · X
hey Adam, I run , lightweight agent memory
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
All-in-one life management platform for habits, tasks, health, finance, and calendar in one encrypted workspace.
@nisthabee · X
Task manager with Now, Next, and Someday buckets that sync between iOS and web.
u/dahooddawg · Reddit
I built a task manager that replaces priority levels with a hard cap on what "now" means Hey r/SideProject -- I built this for myself because every task manager I tried had the same problem: everything felt high priority. The core idea: instead of High/Med/Low (which fails because everything feels high), you get three buckets -- Now, Next, Someday -- and a hard cap on how many items "Now" can hold. When it's full, adding something new means consciously swapping it for something alread
An MCP memory server whose entity-graph spreading recall reassembles the chain of facts a vector store can't reach. On cross-vocabulary multi-hop questions a single vector lookup s
ihamilton7 · HN
Cogni: MCP memory for LLMs, with no LLM in the retrieval path
Delta Runtime reduces repeated AI computation by preserving validated work and recomputing only what changes.
@MaureenSeaberg · X
Delta makes AI up to 14× faster—by computing only what changed: live demo.
Study Kubernetes, AI, Linux, and DevOps with spaced repetition flashcards.
Agoreddah · HN
I built Gnoseed – free flahscards to learn K8s, DevOps, AI and more
Build production AI agents with semantic, episodic, and procedural memory management.
@AiShivam · X
AgentStacKPro is an OS for AI agents designed to make them production-ready, and it holds incredible potential. You can also check out the project I currently developed
@Joi2James Building a personal memory app called monolog. It helps you record thoughts naturally without folders or tags, then find them later by meaning — even if you forgot the e
@monolog_kor · X
Building a personal memory app called monolog. It helps you record thoughts naturally without folders or tags, then find them later by meaning — even if you forgot the exact words.
