AgentScout / Tasks / Memory for agents / Local and self-hosted

AI tools for memory for agents: local and self-hosted

Agents and assistants that can run on your own machine or server, keeping data local. Of the 72 tools on our memory for agents page, 8 fit this narrower job. By pricing: 7 open source, 1 source-available. The most-starred open repos here are MemPalace (59,622 stars), Nanobot (49,096 stars), Supermemory (31,281 stars). Most come from the memory & RAG (5), personal agents (3) categories.

GitHub repos (8)

RepoGitHub starsLicenceLast push
MemPalace ↗59,622MIT2026-10-18
Nanobot ↗49,096MIT2026-10-18
Supermemory ↗31,281MIT—
llmware ↗14,814—2026-10-01
EverOS ↗13,451Apache License 2.02026-10-16
Basic Memory ↗4,263—2026-10-16
Mercury Agent ↗3,433—2026-10-18
Jarvis ↗2,097—2026-10-18

8 repos. Stars and licence come from each repo, checked when the listing was last verified.

FAQ

What are the best AI tools for memory for agents focused on local and self-hosted?

We list 8. The first three by GitHub stars and featured status are MemPalace: Local-first AI memory system that stores conversations verbatim with a pluggable backend and serves recall to agents without API calls.; Nanobot: Ultra-lightweight, self-hosted personal agent framework in Python with a web UI, tools, memory and MCP support.; Supermemory: Memory and context engine for agents with an API, app and MCP server, which can also run fully locally.

Are there free or open-source options?

Yes: 7 open source, 1 source-available. Pricing is as each maker states it.

More from memory for agents

Tools are grouped by what each says it does. Missing one? Submit it free.

Get the best new AI agents, weekly

One short email with new tools, launches and what's worth trying. Free, unsubscribe anytime.