Engram
Engram 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…
Engram launched on February 22, 2026 with 3 votes, #3,487 of 16,628 launches that month and more than 50% of that year's launches.
What it does
Engram gives AI agents persistent memory that actually works. Instead of dumping entire conversation histories into context (expensive) or maintaining files by hand (tedious), Engram automatically extracts, connects, and surfaces the right memories at recall time. Scores 79.6% on LOCOMO vs Mem0's 66.9%. Uses 30x fewer tokens than full context. Two commands to set up. Works with Claude Code, Cursor, and any MCP client. Open source, TypeScript, zero dependencies.
Give your AI agent persistent memory. Engram is an MCP memory server for Claude Code, Cursor, and any AI coding agent. Semantic recall, automatic consolidation, knowledge graphs. 80% on LOCOMO benchmark. npm install engram-sdk.
Engram gives every agent on your team the institutional knowledge that makes senior engineers senior. No more code that's technically correct and contextually wrong. Your team gave every engineer an AI agent. Those agents write code fast. They also have no idea you migrated off Redis last month, or that the CTO decided all new endpoints need rate limiting. They ship code that’s technically correct and contextually wrong. Then your senior engineers spend their time reviewing and correcting agent output instead of building. You didn’t save engineering time. You moved it. Memories connect via typed edges — supports, contradicts, elaborates, supersedes. A web of understanding, not a pile of…from engram.fyi
In the maker’s words, at launch
Engram 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…
Does a similar job
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AgentmemoryMay 2026 · agent-memory.dev · ▲310Persistent memory for Claude Code, Codex & coding agents
MengramFeb 2026 · mengram.io · ▲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.

- RGRecall: Give Claude memory with Redis-backed persistent context2025 · npmjs.com · ▲171
Hey HN! I'm José, and I built Recall to solve a problem that was driving me crazy. The Problem: I use Claude for coding daily, but every conversation starts from scratch. I'd explain my architecture, coding standards, past decisions... then hit the context limit and lose everything. Next session? Start over. The Solution: Recall is an MCP (Model Context Protocol) server that gives Claude persistent memory using Redis + semantic search. Think of it as long-term memory that survives context limits and session restarts. How it works: - Claude stores important context as "memories" during…

Engrim – A universal, local-first SQLite memory engine for AI CLIsSep 2026 · github.com · ▲93The Universal Cross-Model Episodic Memory Standard. Local-first, project-scoped SQLite memory engine for Google Antigravity, Claude Code, Cursor, and Windsurf. Zero cloud lock-in. - timgordontg/engrim
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