Persistent AI Advisor with Cross-Platform Memory: Tracks Decision History for 3 Months

A Reddit user shared a project they built to stop repeating themselves to AI tools. The result is a persistent AI advisor agent that maintains decision history over three months across multiple interfaces.
Key Features
- Cross-platform memory: Works across Claude Code, Cursor, and a web interface with the same unified memory.
- Decision tracking: Remembers every product decision and the reasoning behind it.
- Contradiction detection: Catches when the user contradicts something they said earlier.
- Activity log: Keeps a log so users can see what the agent actually did.
Most Valuable Behavior
The user notes the most valuable aspect isn't automation but continuity. Month 3 conversations are noticeably sharper than month 1 because the agent builds a model of the project over time.
Try It
A live version is available at: https://agentid.live/share/studio/saas-dream-team/895c1947b8184fd2. It's free to set up something similar.
📖 Read the full source: r/openclaw
👀 See Also

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Corey Haines' Marketing Skills Set for AI Agents
A set of 25 marketing skills for AI agents has been added to OpenClaw, covering conversion optimization, copywriting, analytics, and growth engineering. The conversion optimization skill is noted as particularly effective in multi-agent setups.

MCP Support Merged into llama.cpp with New WebUI Features
The Model Context Protocol (MCP) pull request for llama.cpp has been merged, adding MCP support, tool calls, an agentic loop, and a server selector to the llama-server/WebUI side.

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A developer built a free Chrome extension that automatically clicks 'Continue' when Claude hits its tool-use limit after roughly 20 tool calls, eliminating manual interruptions during agentic workflows. The extension includes optional token minimization and works across all tabs and windows.