BrainOS: Persistent Memory for Multi-Agent Workflows
jacksummer_ · reddit · 2026-08-07
Frustrated by the need to re-explain project context when switching between AI tools, the author developed BrainOS, an operational memory tool. After three months of dogfooding, it has evolved into a unified state center across different tools.
Designed primarily for the AI to use, it helps connected agents understand:
- Current build goals and past decisions (along with reasoning).
- Explored and rejected paths, and the current plan.
- Whether execution is drifting from the plan or if tasks were forgotten.
The system uses a hybrid approach: the AI handles low-risk actions and state updates, while important decisions are routed back to the human. All changes are logged for traceability, solving the issue of cross-contamination between parallel projects. The author notes that the AI even begins to adapt to their personal building style by inspecting recorded decision patterns.
More from coding & agent
- Exploring Fully AI-Driven Startups: Real Automation vs. Hype? — Jonatan_C · 2026-08-07
- Axelrod Labs (YC S26): Deploying AI Agent Workforces to Automate Hotel Operations — ycombinator · 2026-08-07
- Kokoro Web: Open-Source Browser-Based TTS with OpenAI API Compatibility — tom_doerr · 2026-08-07
- vLLM Runs on 500,000 GPUs: a16z Talks with Core Maintainer Simon Mo — a16z · 2026-08-07
- Sentry Open-Sources dotagents: Unify Coding Agent Configs with One TOML File — zeeg · 2026-08-07
- Killing Figma: Building Websites with Claude Code and AI Media Stack — MicahBerkley · 2026-08-07