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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Open Source System Captures Claude Code Patterns into Evolving Documentation
Developer Lee Fuhr has released three open source repositories that systematically capture and codify learnings from working with Claude Code. The system includes a methodology document with 14 principles and 19 patterns, an architecture classification framework, and a memory system with 149 features.
Tendr Skill: Deterministic CLI Operations for Agent Memory Management
Tendr Skill is an Agent Skill that separates reasoning from execution for structured long-term memory, allowing agents to decide what needs changing while a CLI tool handles structural operations deterministically. It supports [[wikilinks]] and explicit semantic hierarchies across files.
Query Your Jira Sprint Via Claude MCP: Instant Status, Unassigned Issues, and Blocked Items
A Reddit user connected Jira to Claude via MCP, then asked plain‑language questions about their sprint and got instant clean tables — no clicking through boards.