eugeniughelbur/obsidian-second-brain

Persistent memory for Claude Code and 6 other CLI agents, stored as plain markdown in your Obsidian vault. Stop re-explaining your projects, decisions and...

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Summary Information

Updated 53 minutes ago
Added to GitGenius on September 15th, 2026
Created on March 24th, 2026
Open Issues & Pull Requests: 17 (+0)
GitHub issues: Enabled
Number of forks: 569
Total Stargazers: 4,553 (+0)
Total Subscribers: 29 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 11.1 hours
Mean response time: 31.4 hours
90th percentile: 4.9 days
Tracked items: 98

Most active contributors

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How this project is maintained

Practically every issue opened in the past year has drawn a reply. 86% of issues opened in the past year have been closed, leaving a working backlog. Three people close 99% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 14
New in 7 days: 20
Closed in 7 days: 17
Avg open age: 16 days
Stale 30+ days: 1
Stale 90+ days: 0

Recent activity

Opened in 7 days: 17
Closed in 7 days: 12
Comments in 7 days: 9
Events in 7 days: 24

Top labels

  • bug (31)
  • enhancement (18)
  • area: python (6)
  • good first issue (6)
  • area: commands (5)
  • area: retrieval (4)
  • help wanted (4)
  • area: adapters (2)

Detailed Description

Obsidian Second Brain is a persistent memory system for AI agents that stores context as plain markdown in your Obsidian vault.

The tool solves the problem of AI agents losing context between sessions by maintaining a shared knowledge base accessible to multiple CLI agents. It works by storing project decisions, people, and architectural notes in your Obsidian vault, which agents can query and update. The system includes hybrid semantic search to retrieve relevant information, self-rewriting notes that update automatically, and scheduled agents that maintain the vault without manual intervention.

You should adopt this tool if you work with multiple AI agents across different platforms and want to avoid re-explaining your project context in every session. It suits teams and individuals who use Claude Code, Grok Bot, Codex, Gemini, or other supported CLI agents and want a unified memory layer that persists across tool switches. The vault itself becomes the source of truth, outliving whichever agent platform you use at any given time.

The project shows active development with a substantial command set and cross-platform support spanning multiple agent ecosystems. The tool includes web research capabilities without requiring API keys and offers scheduled automation features that run independently. The codebase is written in Python and maintains a public homepage with documentation separate from the repository.