Alternatives

Products that do what SecondOS does

One memory for your codebase, every AI tool reads it

1
Atlaso▲216
One memory for every AI you use
Aug 2026 · atlaso.ai
2
Second V2▲723
AI powered codebase maintenance
2024 · second.dev
3
Findr: remember everything▲435
Unlock infinite digital memory with your (AI) second brain
2024
4
Second Brain for AI▲286
Persistent memory for Claude, ChatGPT & Cursor. Free.
May 2026 · github.com
5
Second▲374
Automated codebase migrations and upgrades using AI
2023
6
Second Brain for Mac and Windows▲247
Your AI memory, everywhere you work
Jul 2026 · thesecondbrain.dev
7
remio 2.0▲509
Captures your work to build a searchable knowledge base
Jan 2026
8
Sense 2.0▲230
Artificial memory for your work
2023
9
PMB▲211
Stop re-explaining your project to AI coding agents
Jun 2026 · pmbai.dev
10
MemoryCustodian▲145
Repo-native memory for coding agents
Jul 2026 · github.com
11
1DevTool▲94
Multi-project IDE with persistent terminals and 9 dev tools
Mar 2026 · 1devtool.com
12RL
Recall – Local project memory for Claude Code▲138
Jun 2026 · github.com
13
AO2 Memory▲17
Portable context for every AI. Never explain yourself twice.
Jun 2026 · ao2.ai
14
Grov▲123
Shared and synchronized AI memory + reasoning across teams
Dec 2025
15
Deep Work Plan▲114
Models matter. Context matters more. Give your agent a plan.
Jun 2026 · deepworkplan.com
16
Actx0▲100
Memory infrastructure for AI agents.
17d ago · actx0.com
17
Knowns CLI▲94
AI-first CLI for task management and documentation.
Jan 2026
18
GitHub▲10
Local-first memory for your AI coding agent
Jun 2026 · github.com
19
GPS▲83
Memory layer for LLMs that stores repo rules + past lessons
May 2026 · github.com
20
Tenure▲59
Your AI finally learns how to talk to you
May 2026 · github.com
21CS
Continue – Source-controlled AI checks, enforceable in CI▲44
We now write most of our code with agents. For a while, PRs piled up, causing review fatigue, and we had this sinking feeling that standards were slipping. Consistency is tough at this volume. I’m sharing the solution we found, which has become our main product. Continue (https://docs.continue.dev) runs AI checks on every PR. Each check is a source-controlled markdown file in `.continue/checks/` that shows up as a GitHub status check. They run as full agents, not just reading the diff, but able to read/write files, run bash commands, and use a browser. If it finds…
Feb 2026 · docs.continue.dev
22BA
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
23
Syncally▲12
Your codebase's memory never leaves when devs do
Nov 2025
24RA
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

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