AI · alternatives · 2026
24 alternatives to Engram
Agent memory that knows what's still true
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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Engram▲3Global, shared and reviewable memory layer for AI agents
Sep 2026 · aiengram.xyz · its alternatives →
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Engram▲3Engram gives AI coding agents persistent memory across sessions. 2,500 npm installs in the first five days. The problem: every Claude Code or Cursor session starts from zero. You re-explain your architecture, conventions, past decisions. CLAUDE.md helps but it's manual and doesn't scale. Engram runs as a native MCP server. One command to install, SQLite backend, no infrastructure. Three tiers of memory: Explicit: things you tell it to remember Implicit: behavioral patterns extracted from how you work (low confidence, reinforced over time) Synthesized: meta-observations generated during…
Feb 2026 · engram.fyi · 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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Memori▲168Persistent memory from agent trace, not just conversation
May 2026 · memorilabs.ai · its alternatives →
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Stop burning tokens. Make your agents up to 6x faster.
Apr 2026 · engram-three.vercel.app · its alternatives →
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Mengram▲108AI memory that learns how you work — facts, events, and workflows that improve from failures. One memory across Claude Code, Cursor, Codex, and ChatGPT. Free tier, $5/mo.
Feb 2026 · mengram.io · its alternatives →
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An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory
Aug 2026 · github.com · its alternatives →
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Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc. - CaviraOSS/LongMemory
Dec 2025 · github.com · its alternatives →
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Tired of AI coding tools that forget everything between sessions? Every time I open a new chat with Claude or fire up Copilot, I'm back to square one explaining my codebase structure. So I built something to fix this. It's called In Memoria. Its an MCP server that gives AI tools persistent memory. Instead of starting fresh every conversation, the AI remembers your coding patterns, architectural decisions, and all the context you've built up. The setup is dead simple: `npx in-memoria server` then connect your AI tool. No accounts, no data leaves your machine. Under the hood it's TypeScript +…
2025 · github.com · its alternatives →
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AO2 Memory▲17Portable context for every AI. Never explain yourself twice.
Jun 2026 · ao2.ai · its alternatives →
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Claude.ai artifacts can call the Anthropic API and have persistent storage (5MB via window.storage). I used these two capabilities to build a memory system modeled on how human memory actually works — salience scoring, forgetting curves, and sleep consolidation — all running inside a single React artifact with no external dependencies. Just add artifact to your chat and paste instructions into your personal preferences setting.
Feb 2026 · github.com · its alternatives →
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engrams▲2Feed knowledge into a brain that thinks for itself
Apr 2026 · engramsai.vercel.app · its alternatives →
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Open-source MCP server. #5 on LoCoMo. 100% local. MIT.
May 2026 · totalmemory.dev · its alternatives →
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Open Source Context Infrastructure for AI Agents
May 2026 · ravbyte-ai.github.io · its alternatives →
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DevBrain▲3Git-aware memory for AI coding agents via Obsidian
Jun 2026 · github.com · its alternatives →
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A file-based protocol for multi-agent AI workflows — portable, auditable, human-in-command. Cross-agent communication and persistent shared memory across runtimes, projects, and machines. No daemons, no central server.
May 2026 · oacp.dev · its alternatives →
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Tell MemorySync a fact, reload the page, then ask for it back in your own words. No signup. Every API call shown in cURL, Python and Node.js.
9d ago · memorysync.io · its alternatives →
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devnexus is an open-source cli that gives agents persistent shared memory across repos, sessions, and engineers. It maps out dependencies and relations at the function level, builds a code graph, and writes it into a shared Obsidian vault that every agent reads before writing code. Past decisions are also linked directly to the code they touched, so no one goes down the same dead end twice. Still building it out but I would love to hear any thoughts/feedback
Apr 2026 · github.com · its alternatives →
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Cross-vendor memory layer for AI coding tools
Jun 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 →