ByteRover 通过分层 Markdown 树结构让 OpenClaw 智能体在会话间保留特定的项目知识。

Give OpenClaw long-term memory that actually works!

OpenClaw agents are powerful for dev work - scheduled workflows, automated testing, continuous monitoring of codebases. But there's a memory problem.

Across sessions, OpenClaw's auto-memory gets stored by day in memory/YYYY-MM-DD. md files and rotates over time. If you want something to stick, you have to manually curate it into MEMORY. md, which becomes inefficient and bloated.

Ask "How is authentication implemented?" and the agent reads 50+ files to piece together an answer. That's 10,000+ tokens when only 300-500 tokens of relevant context actually matter.

The agent can't remember that your project uses JWT tokens with 24-hour expiration. It can't remember the auth logic is in `src/middleware/auth.ts`. It re-discovers the same patterns every session.

The Solution: LLM-Powered Memory Curation

ByteRover fixes this with intelligent memory curation. Instead of storing embeddings, it curates knowledge into a hierarchical tree structure organized as domain → topic → subtopic. Everything is stored as markdown files.

When you tell OpenClaw something once, ByteRover's curation agent structures it, synthesizes it, and stores it in the context tree. Keeps the timeline, facts, and meaning perfectly in place. Days later, after multiple restarts, the agent pulls the exact knowledge without re-explanation.

No. 1 Market Accuracy: 92.19%

ByteRover hit 92.19% retrieval accuracy after 8+ months of architecture iteration. That's No. 1 in the market right now. Retrieval works through a tiered pipeline: cache lookup → full-text search → LLM-powered search.

83% Token Cost Savings

A 1,000+ file project with 10 coding questions per day burns hundreds of thousands of tokens on redundant file reads. ByteRover cuts this by 83%.

Fully Local with Cloud Sync Option

The memory is local-first. When you need it elsewhere, push to ByteRover's cloud. Version control, team management, and shared memory across different OpenClaw agents or any autonomous agent setup.

Multiple OpenClaw agents can share the same memory. Your home desktop agent and work laptop agent stay aligned without manual syncing.

Super Simple Setup

One command: "curl -fsSL byterover[.]dev/openclaw-setup .sh | sh"
ByteRover works alongside OpenClaw's existing memory system. You control what gets curated. Edit, update, and restructure memory anytime through the CLI or web interface.

Commands: 'brv query' for retrieval, 'brv curate' to add knowledge, 'brv push/pull' for cloud sync.

Link to ByteRover Skill in the comments!