Alternatives

Products that do what Piia Engram does

Cross-vendor memory layer for AI coding tools

1
PMB▲211
Stop re-explaining your project to AI coding agents
Jun 2026 · pmbai.dev
2
1Code▲575
Open source Cursor-like UI for Claude Code
Jan 2026
3
Byterover▲505
Memory layer for your AI coding agents
2025
4
Atlaso▲216
One memory for every AI you use
Aug 2026 · atlaso.ai
5
CodeYam CLI & Memory▲141
Comprehensive memory management for Claude Code
Mar 2026
6
Pizi▲131
Your multi-file AI assistant powered by ChatGPT4
2024
7
Context Sync▲95
Persistent AI memory across Claude Desktop & Cursor IDE
Oct 2025
8
ContextPool▲180
Persistent memory for AI coding agents
Apr 2026
9
Pixcode▲76
A self-hosted control room for AI coding agents
May 2026 · github.com
10
Engram▲3
Global, shared and reviewable memory layer for AI agents
3d ago · aiengram.xyz
11
Engram - MCP Server for AI Dev Agents▲3
Stop burning tokens. Make your agents up to 6x faster.
Apr 2026
12
ShioriCode▲119
Open-source alternative to Codex & Claude Code
May 2026 · shiori.ai
13
GPS▲83
Memory layer for LLMs that stores repo rules + past lessons
May 2026 · github.com
14
MemoryCustodian▲145
Repo-native memory for coding agents
Jul 2026 · github.com
15
memories.sh▲50
One layer for memories, skills, and rules across any agent
Feb 2026
16
AI Designer MCP▲89
Give your agent tools to create beautiful, codebase-aware UI
Apr 2026
17
GitHub▲10
Local-first memory for your AI coding agent
Jun 2026 · github.com
18RA
Retain – A unified knowledge base for all your AI coding conversations▲45
Hey HN! I built Retain as the evolution of claude-reflect (github.com/BayramAnnakov/claude-reflect). The original problem: I use Claude Code/Codex daily for coding, plus claude.ai and ChatGPT occasionally. Every conversation contains decisions, corrections, and patterns I forget existed weeks later. I kept re-explaining the same preferences. claude-reflect was a CLI tool that extracted learnings from Claude Code sessions. Retain takes this further with a native macOS app that: - Aggregates conversations from Claude Code, claude.ai, ChatGPT, and Codex CLI - Instant full-text…
Jan 2026 · github.com
19BA
Built a memory layer that stops AI agents from forgetting everything▲13
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
20
Engram▲8
Agent memory that knows what's still true
Jul 2026 · github.com
21
Engram▲3
The memory layer your AI agent is missing
Feb 2026
22LA
Linggen – A local-first memory layer for your AI (Cursor, Zed, Claude)▲36
Hi HN, Working with multiple projects, I got tired of re-explaining our complex multi-node system to LLMs. Documentation helped, but plain text is hard to search without indexing and doesn't work across projects. I built Linggen to solve this. My Workflow: I use the Linggen VS Code extension to "init my day." It calls the Linggen MCP to load memory instantly. Linggen indexes all my docs like it’s remembering them—it is awesome. One click loads the full architectural context, removing the "cold start" problem. The Tech: Local-First: Rust + LanceDB. Code and embeddings stay on your machine. No…
Dec 2025 · github.com
23
Kindex▲13
The memory layer AI coding agents don't have.
Jun 2026 · kindex.tools
24
AO2 Memory▲17
Portable context for every AI. Never explain yourself twice.
Jun 2026 · ao2.ai

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