Unify memory across agents and improve context rot, written in Rust
I was frustrated that memory is usually tied to a specific tool. They’re useful inside one session but I have to re-explain the same things when I switch tools or sessions. Furthermore, most agents' memory systems just append to a markdown file and dump the whole thing into context. Eventually, it's full of irrelevant information that wastes tokens. So I built this local memory layer that unifies memory across agents. Instead of a flat file, it builds a structured knowledge graph of "memory notes" inspired by the paper "A-MEM: Agentic Memory for LLM Agents"…
Unify memory across agents and improve context rot, written in Rust launched on April 5, 2026 with 5 votes, #1,846 of 21,248 launches that month and more than 75% of that year's launches.
What it does
Agentic memory using knowledge graphs. Contribute to feelingsonice/MemoryBank development by creating an account on GitHub.
Memory Bank gives agents shared, long-term memory across sessions and across tools. It runs locally, stores memory in your own namespaced SQLite databases, and works with Claude Code, Codex, Gemini CLI, OpenCode, and OpenClaw. The normal install path is the release installer plus mb setup . sh -c " $( curl -fsSL https://raw.githubusercontent.com/feelingsonice/MemoryBank/main/install.sh ) " If you already cloned this repo and just want to use the local installer script: mb status If the installer finished in a non-interactive shell and skipped setup, just run mb setup afterward. If mb is not available in the current shell yet, use ~/.memory_bank/bin/mb setup or open a new shell. If you later…from github.com
In the maker’s words, at launch
I was frustrated that memory is usually tied to a specific tool. They’re useful inside one session but I have to re-explain the same things when I switch tools or sessions. Furthermore, most agents' memory systems just append to a markdown file and dump the whole thing into context. Eventually, it's full of…
Does a similar job
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AgentmemoryMay 2026 · agent-memory.dev · ▲310Persistent memory for Claude Code, Codex & coding agents
Context OverflowMar 2026 · ctxoverflow.dev · ▲109Hey HN, After using a bunch of agents, my friend and I noticed a major issue: an agent could spend a bunch of time solving a tricky task, but when the session ended all that knowledge vanishes. Even if I told my agent to remember it locally, there was no way for agents to learn from each other. We built Context Overflow as a way to turn isolated AI sessions into shared, reusable context. With Context Overflow, agents can: - Search through past solutions when starting a task - Ask questions when they get stuck - Share findings when they solve a non-trivial problem We support a variety of ways…
YourMemoryApr 2026 · yourmemoryai.vercel.app · ▲93This is a project that I have been building for a while now, YourMemory is a solution to agentic memory which focuses on pruning of noise rather than hoarding of data. In the current state of agentic memory most of the context is stored in the form of a MD file or is derived through a RAG model where you store each and everything. Both of the solution leads to bloated context which does not optimize the usage of any tokens. In this system we only keep relevant data in our memory and prune all the unnecessary data. The relevance of a data is derived through multiple factors such as recall…
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