Developer Builds LibraHQ App to Solve AI Agent Memory Problem
The Problem: AI Agents Forgetting Context
A developer on r/ClaudeAI described a common workflow issue: when updating product decisions in ChatGPT or Claude, they had to manually sync changes to their repository. Starting new Cursor or Claude code sessions required re-explaining problems already worked through.
Initial Solutions and Limitations
The developer first built a local MCP (Model Context Protocol) to have Claude Desktop directly edit project document files. This didn't work for mobile ideation and product planning done on their phone.
Next, they built an MCP server + GitHub app to directly link chatbots and repositories for document writing. However, this required installing an untrusted GitHub app into repositories, which system administrators rejected for workplace use.
LibraHQ: The Current Solution
The developer built LibraHQ.app, a free notes app that sits between chatbots and coding agents as a context layer. Key features:
- Records important notes and decisions from chats
- Stores information in Libra for future chats
- Helps coordinate various AI agents
- Completely free to use
Why Not Obsidian?
The developer considered using Obsidian + MCP but decided against it for several reasons:
- Not all repositories need all context - some information is unrelated
- Need ability to clean up documents periodically and find inconsistencies
- Require an ingest pipeline for new documents that carefully examines existing content before adding new information
- System should either write new documents with proper linking or update existing documents
The developer noted this memory problem will likely become more significant as multi-agent work continues to grow.
📖 Read the full source: r/ClaudeAI
👀 See Also
Pair Programmer Plugin Adds Live Screen, Voice, and Audio Context to Claude Code
A developer has built a plugin called Pair Programmer that gives Claude Code real-time desktop perception by capturing screen, microphone, and system audio streams. The architecture uses specialized agents running in parallel for different input types, with indexing currently handled by cloud models but designed to be model-agnostic.
OpenClaw Context Meter Plugin Shows Telegram Token Usage Percentage
A new OpenClaw plugin displays token usage percentage after every Telegram bot response, showing values like '45k / 200k (22%)' and detecting compaction events. The plugin avoids OOM issues by hardcoding context windows instead of using execSync.
Equibles: Self-Hosted MCP Server for U.S. Financial Data – SEC Filings, 13F, Insider Trades, FRED
Equibles is an open-source MCP server that scrapes public U.S. financial data (SEC filings, 13F, insider/congressional trades, short data, FRED) and exposes it as MCP tools for any local LLM agent.
Keep My Claw: Backup Service for OpenClaw Workspaces
Keep My Claw is a backup service that encrypts OpenClaw workspace data locally before uploading to Cloudflare R2. It handles memory files, cron jobs, skills, credentials, and config snapshots with scheduled backups and one-command restores.