OMem
Local-first work memory for your AI agents
OMem launched on June 6, 2026 with 4 votes, #3,322 of 22,647 launches that month and more than 75% of that year's launches.
What it does
OMem is a local-first, agent-agnostic memory layer that automatically turns your real work — mail, calendar, meeting notes, and files — into a wiki any AI agent can query. The capable agents (Claude Code, Codex, …) can finally work from your actual work context instead of a blank page
The office your AI remembers. OMem is a local-first, agent-agnostic memory layer that automatically turns your real work — mail, calendar, meeting notes, and files — into a wiki any AI agent can query.
Your AI agent is clever, but every session starts blank — it can’t see the work going on around you. OMem fixes that. It runs quietly on your machine and automatically ingests your real work — email, calendar, meeting notes, and files (Office formats, PDFs, images, HTML, Markdown) — from where it already lives, turning it into a plain-Markdown wiki that any agent can query. No copying, no re-typing: the memory builds itself while you work. Capable agents and your real work context, finally connected. Available on macOS today; Windows is coming. Free for personal use. Your browser doesn’t support embedded video. Watch the demo → OMem in 73 seconds — auto-ingest your real work, then ask any…from seacen.github.io
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Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)Jun 2026 · github.com · ▲60Local-first AI memory layer for any LLM. Persistent knowledge graph, entity extraction, semantic retrieval. Works with Ollama, OpenAI, Anthropic, or any OpenAI-compatible backend. - zaydmulani09/mnemo
Claude-MemDec 2025 · cmem.ai · ▲115AI agent memory, everywhere. claude-mem is open-source memory for Claude Code; cmem links it to any MCP client — Cursor, Codex, more — via one private link.
EphoAug 2026 · epho.io · ▲156Hey folks, Burak here. Epho is an API that allows running Claude Code, Codex or Opencode in a sandbox in the cloud. It abstracts away sandboxes, and allows running coding agents with a single HTTP request. Epho came out of our own struggles with building our own AI analyst: - Sandboxes give you bare machines; you need to configure them for agentic workloads. - Each agent behaves differently, and you need to build integrations with each of them. - Sandbox providers are not very reliable, which means you need to figure out a multi-provider strategy to avoid failures. - Logging, artifacts,…

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