PMB
Local-first memory for AI coding agents with hybrid recall (BM25 + vectors + entity graph), MCP-native with ~35ms recall
PMB Review 2026: Local-First Memory Engine for AI Coding Agents
In-depth review of PMB — a local-first, MCP-native memory engine that combines BM25, vector embeddings, and entity graphs for ~35ms hybrid recall. Built for AI coding agents that need persistent, private cross-session memory.
💡 9bests Editorial Buying Advice
Why choose PMB: Local-first memory for AI coding agents with hybrid recall (BM25 + vectors + entity graph), MCP-native with ~35ms recall
Optimal workflow match: Ideal for teams seeking automated and streamlined AI workflows.
✅ Pros / Key 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 & Structure
Unknown
Pricing details are gathered from public sources and are subject to change. Please visit the official website for real-time rates and trial terms.
Pricing verified from official public sources · Reviewed by Bill (Lead Editor)
🎯 Who should use PMB
Best suited for users focused on digital productivity and AI automation who value hybrid recall engine — combines bm25 (keyword), vector embeddings (semantic), and entity graph (relational) for multi-strategy retrieval.
⚠️ Who should look elsewhere
Users who require features outside its core scope or cannot accommodate current platform constraints may benefit from exploring alternative tools in this category.
🚀 Common use cases
Autocompleting and refactoring code
Multi-file AI edits
Debugging and test generation
⚖️ Direct Head-to-Head Comparisons
Curated MatchupsPMB vs Cursor
Side-by-side analysis of features, scores, pros, and cons.
PMB vs GitHub Copilot
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PMB vs Windsurf (Codeium)
Side-by-side analysis of features, scores, pros, and cons.
PMB vs Replit Agent
Side-by-side analysis of features, scores, pros, and cons.
❓ Frequently asked questions
Is PMB free?
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PMB is paid; pricing: Unknown.
What is PMB used for and what are its strengths?
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Key strengths of 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. Local-first memory for AI coding agents with hybrid recall (BM25 + vectors + entity graph), MCP-native with ~35ms recall
What is the best alternative to PMB?
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If you're looking for an alternative to PMB, consider Cursor: it stands out for Best AI code editor, Multi-file editing.
How do I choose the right alternative to PMB?
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Selection advice: compare ratings, pricing, and core features within the AI Coding category, then match to your own workflow. See the comparison matrix and Top alternatives list on this page.
🔄 Top Alternatives to PMB
Related ToolsCursor
AI-first code editor built on VS Code
GitHub Copilot
AI pair programmer by GitHub/OpenAI
Windsurf (Codeium)
Free AI code completion and chat assistant
Replit Agent
AI-powered cloud IDE that builds full apps