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PMB

Local-first memory for AI coding agents with hybrid recall (BM25 + vectors + entity graph), MCP-native with ~35ms recall

★★★★☆ 4 Unknown

Pros / Advantages

  • Hybrid recall engine — combines BM25 (keyword), vector embeddings (semantic), and entity graph (relational) for multi-strategy retrieval
  • Local-first architecture — all memory and indexes live on-device; no cloud dependency, no API calls for core operations
  • MCP-native integration — exposes memory operations as standard MCP tools, plug-and-play with any MCP-compatible agent harness
  • ~35ms recall latency — engineered for low-latency retrieval, suitable for real-time agent decision loops
  • Entity graph layer — tracks relationships between code symbols, files, decisions, and context across sessions

Cons / Limitations

💰 Pricing Plans

Unknown

Pricing details are gathered from public sources and are subject to change. Please visit the official website for real-time rates.

Last updated: July 2026 · 9bests editorial review

Who should use PMB

  • Hybrid recall engine — combines BM25 (keyword), vector embeddings (semantic), and entity graph (relational) for multi-strategy retrieval
  • Local-first architecture — all memory and indexes live on-device; no cloud dependency, no API calls for core operations
  • MCP-native integration — exposes memory operations as standard MCP tools, plug-and-play with any MCP-compatible agent harness
  • ~35ms recall latency — engineered for low-latency retrieval, suitable for real-time agent decision loops
  • Entity graph layer — tracks relationships between code symbols, files, decisions, and context across sessions

⚠️ Who should look elsewhere

🎯 Common use cases

Autocompleting and refactoring code

Multi-file AI edits

Debugging and test generation

⚖️ PMB vs Cursor

PMB Cursor
Rating 4/5 4.8/5
Pricing Unknown Free / $20/mo
Key strength Hybrid recall engine — combines BM25 (keyword), vector embeddings (semantic), and entity graph (relational) for multi-strategy retrieval Best AI code editor

See the full head-to-head in our PMB vs Cursor comparison.

❓ Frequently asked questions

Is PMB free?

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PMB does not offer a free tier; current pricing is Unknown.

What is PMB best for?

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PMB is best for Hybrid recall engine — combines BM25 (keyword), vector embeddings (semantic), and entity graph (relational) for multi-strategy retrieval and Local-first architecture — all memory and indexes live on-device; no cloud dependency, no API calls for core operations. Local-first memory for AI coding agents with hybrid recall (BM25 + vectors + entity graph), MCP-native with ~35ms recall

How does PMB compare to Cursor?

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PMB (4/5) and Cursor (4.8/5) serve overlapping needs. PMB stands out for Hybrid recall engine — combines BM25 (keyword), vector embeddings (semantic), and entity graph (relational) for multi-strategy retrieval, while Cursor is stronger at Best AI code editor. Choose based on your priority.

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