AI · alternatives · 2026
24 alternatives to Neural Memory
Neural-Memory is the Persistent Neocortex for AI Agents.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Persistent memory for Claude, ChatGPT & Cursor. Free.
May 2026 · github.com · its alternatives →
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Active Recall▲1,078Chat with everything you’ve read, heard, watched, or noted
2024 · recall.it · its alternatives →
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Unlock infinite digital memory with your (AI) second brain
2024 · usefindr.com · its alternatives →
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brains▲4Persistent memory for your AI. Any model, any device.
Jun 2026 · usebrains.app · its alternatives →
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CogniMemo▲120AI that remembers, learns, and evolves
Dec 2025 · app.cognimemo.com · its alternatives →
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Agentmemory▲310Persistent memory for Claude Code, Codex & coding agents
May 2026 · agent-memory.dev · its alternatives →
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Make0 Brain▲82A memory store that works across all of your AI agents.
13d ago · make0.ai · its alternatives →
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YourMemory▲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…
Apr 2026 · yourmemoryai.vercel.app · its alternatives →
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Captures and stores your chat from various AI platforms
Mar 2026 · ai-memory-beta.vercel.app · its alternatives →
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Memory for AI agents. One brain across every model & tool.
Jul 2026 · brainmemory.ai · its alternatives →
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Most RAG setups fail because they treat memory like a static filing cabinet. When every transient bug fix or abandoned rule is stored forever, the context window eventually chokes on noise, spiking token costs and degrading the agent's reasoning. This implementation experiments with a biological approach by using the Ebbinghaus forgetting curve to manage context as a living substrate. Memories are assigned a "strength" score where each recall reinforces the data and flattens its decay curve (spaced repetition), while unused data eventually hits a threshold and is pruned. To solve the…
Apr 2026 · github.com · its alternatives →
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The memory layer that decides what's worth remembering
Aug 2026 · skynetlab-cortex.com · its alternatives →
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memories.sh▲50One layer for memories, skills, and rules across any agent
Feb 2026 · memories.sh · its alternatives →
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Cognitia▲37AI companion that remembers, learns, and grows with you
2025 · cognitia-ai.com · its alternatives →
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Give AI agents long-term memory. Not vector search or RAG
Dec 2025 · github.com · its alternatives →
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Hi HN, There’s been a lot of discussion lately around context graphs, decision traces, and how AI systems reason. One thing we kept running into: when AI agents make real decisions, the why behind those decisions often disappears. The context is scattered across prompts, tools, policies, and approvals. Logs show what happened, but not why it was allowed. TraceMem is an attempt to make decision context durable. It records the reasoning, authority, and context behind AI actions as a system of record, not as monitoring data, but as memory. Happy to share more details or answer questions. - Tommi
Jan 2026 · tracemem.com · its alternatives →
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⚡ The open-source persistent cognitive memory layer for AI coding agents. Stop your Cursor, Claude & Copilot from having amnesia. - itskie/friday
Sep 2026 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →