AI coding agents and agent orchestration
Persistent memory for AI agents
Memory layers, often exposed via MCP or APIs, that store, retrieve and share long-term context, facts and preferences across sessions and across multiple AI assistants or coding agents.
Built for: AI agent developers and multi-assistant power users
Projects since May 04
115
Different builders
112
Last 4 weeks vs 8 before
▲ +70%
AI is the core
52%
Projects per week
Mostly developer tool or library (40%), web app (20%), api or backend service (15%) · from r/SideProject, r/vibecoding, r/SaaS, r/IMadeThis
Latest
- Pickup — Gives a chatbot persistent memory of users across browsers and devices by storing memories on Walrus.“I built a chatbot that remembers you across devices using Walrus — here are 6 problems I didn't expect”
- IHMT-MEMORY — Runs a local MCP memory server that stores and shares long-term context across AI models.“A long-term memory for AI that saves 90% of tokens and prevents loss of context”
- Handed Commons — Provides a shared memory store that multiple chatbots can write to and read from through a REST API with remember and recall calls.“I launched a shared memory service for chatbots - one memory all of a client's bots share”
- Nova — Runs a local personal intelligence system that organizes a user's information through patterns.“I’m building Nova, a local personal intelligence system organized through patterns”
- CrossroadsHub — Preserves the reasoning, assumptions and alternatives behind team decisions so they can be retrieved later using AI and graph-based memory.“CrossRoadsHub”
- ProjectPulse — Stores project decisions and their reasoning in persistent memory and recalls them later alongside newer project context.“Hindsight AI project”
- Hindsight — Makes feedback from Hindsight agent memory visible without requiring cloud credentials.“Without Cloud CredentialsI Made Hindsight Feedback Visible”
- PCS - Personal Continuity System — Stores a user's memories, notes and materials locally in an encrypted vault and feeds that shared context to multiple AI models.“I built a small AI app because I got tired of losing continuity every time I changed models”
- WhyVault — Hosts a shared Markdown knowledge vault that AI agents like Claude, ChatGPT and Cursor can read from and write decisions back to via MCP.“I built a shared memory for all my AI agents because I was tired of re-explaining myself every day”
- MemoFigure — Turns a written memory into a personal 3D keepsake that can be viewed and explored.“I launched an app that turns your memories into 3D keepsakes”
- Mazkir — Gives multiple AI assistants a shared memory so facts told to one are available to the others.“My AI memory app remembers everything. Nobody remembers to sign up”
- Assertion — Stores key claims with supporting evidence from coding sessions and organizes them into a hierarchy as persistent memory for coding agents.“Assertion - agent memory that compounds instead of piling up”
- Maximem Synap — Gives AI agents persistent memory across sessions, typing memories and scoping them per user.“From just a side project to successfully launching on Product Hunt today”
- YOU — Stores personal context like people, plans, preferences, and commitments in a user-owned memory layer that marks each item as known, inferred, or unknown and shows its sources.“I built a prototype for a personal AI memory you could take between assistants”
- True Recall — Provides a companion chatbot whose memory retrieval uses per-dimension variance over embeddings to mix contrasting past memories into current recall.“Built a companion app with associative memory using Matryoshka embeddings + dimension-wise reflection”
- Maximem Synap — Gives AI agents persistent memory across sessions, storing user preferences and extracted entities so they stop forgetting context.“AI agents forget everything so I built a memory SDK to fix that - Maximem Synap”
- Vilix AI — Provides a shared memory layer that stores structured personal data for AI agents and apps to access.“How I market my SaaS? I think differently. I'm not like others.”
- OrionGMV — Stores encrypted memory of goals, decisions and context that persists across AI chat sessions and model switches.“A couple of us built OrionGMV, a private memory layer so your AI keeps continuity across thousands of turns”
- NornicDB — Stores a knowledge base in a database with secure search and runs local models and an agentic harness that calls registered MCP functions.“NornicDB - 1.3.3 - secure search continuation - MIT license”
- Omega ACA — Runs a persistent cognitive loop with attention, layered memory, and autonomous processing between prompts.“Artificial Cognitive Architecture - Open source”
Most discussed
- Sutra — Provides a hosted, authenticated memory and reusable skill store that AI agents share through MCP tools.“I got tired of re-explaining myself to every AI agent, so I built a private memory layer I can take between them”
- Glen — Provides a shared memory layer that multiple AI agents read and write to via MCP, so context learned in one tool is available in others.“I gave my agents a shared consciousness (launching Glen today)”
- AIMemoryAPI — Gives AI apps a persistent memory API that stores conversations and preferences across sessions.“Every AI app forgets you the second you close the tab. I shipped a memory API in a weekend. Brutal feedback wanted.”
- WhyVault — Hosts a shared Markdown knowledge vault that AI agents like Claude, ChatGPT and Cursor can read from and write decisions back to via MCP.“I built a shared memory for all my AI agents because I was tired of re-explaining myself every day”
- Maximem Synap — Gives AI agents persistent memory across sessions, storing user preferences and extracted entities so they stop forgetting context.“AI agents forget everything so I built a memory SDK to fix that - Maximem Synap”
- Agentic Brain Obsidian Vault — Organizes a personal Obsidian vault as a color-coded graph of linked notes meant to serve as memory and structure for an AI agent.“Rate My Obsidian Vault”
- second-brain-cloudflare — Stores notes as vector embeddings in a self-hosted MCP server so Claude can save and semantically search persistent memory.“Built a self-hosted memory layer for Claude because the built-in one wasn't good enough”
- MEMMEM — Imports AI chat exports into a local memory store and serves it to AI assistants via a local MCP connector, returning quoted sources.“I got tired of retelling my life to every new AI, so I built a local memory that ChatGPT, Claude and Gemini all share”
- AI Context Flow — Saves text from webpages into a personal memory layer that works across AI chatbots and tools via MCP.“3 months after hitting #1 on Product Hunt, we had lost 22% of our users”
- Threadline — Adds persistent per-user memory to AI agents, extracting facts from conversations and injecting relevant context into later prompts with user-controlled access and deletion.“I built the memory layer I wish existed when my AI agent kept asking the same questions”