Building a Self-Improving AI Second Brain With Claude and Obsidian
Shruti_0810 · x · 2026-08-01
The article argues that the biggest bottleneck in using AI isn't prompt engineering, but the lack of long-term memory. Users waste time rebuilding context from scratch in every new chat.
The author proposes a workflow combining Claude and Obsidian to create a self-improving AI second brain. This setup allows the AI to retain and reuse past notes, ideas, and project contexts for deep work.
Related event: Build an Automated AI Second Brain with Claude and Obsidian(4 posts)→
More from coding & agent
- Agent actions need checks outside the model: NVIDIA demos lean on guardrails amid wave of real agent incidents — Creamy-And-Crowded · 2026-10-16
- Vitalik builds "paranoid mode" agent wrapper with Tor, zkAPI and local prompt rewriting — DavideCrapis · 2026-10-16
- Agent fine-tunes Qwen3.5-0.8B with synthetic data: 4.7%→76.3% accuracy, 11.9× faster — ben_burtenshaw · 2026-10-16
- Beam-501B agent demo: solo beats 5-agent team on ProgramBench rebuild task — ben_burtenshaw · 2026-10-16
- Beam agent builds BeamSpeak, a local Parakeet dictation app for macOS — ben_burtenshaw · 2026-10-16
- DSPy Author's $70 O'Reilly Book Rejected by Engineer Who Now Just Tells Claude What to Do — lateinteraction · 2026-10-16