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PMB

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Local memory for AI coding agents · Official-source review 2026-10-09

PMB stores project facts, decisions and lessons in local SQLite/LanceDB data and exposes memory through MCP. Hooks can recall context before an agent turn and journal subsequent work.

Updated 2026-10-09View sources
Official website
Category
Local memory for AI coding agents
Free access
Free Apache-2.0 open-source software; optional external model and hosting costs remain separate.
API access
MCP stdio, CLI and local dashboard; advertised wiring for Claude Code, Cursor, Codex, Zed and other MCP clients.

Is PMB right for you?

A good fit for

Relevant to developers retaining and inspecting project memory across agents without relying on a hosted memory service.

Before you choose

Python on macOS/Linux/Windows. Recall path is described as local without LLM/network calls; optional summaries and graph extraction use the configured local or hosted model. A hosted agent may process recalled context even when the memory store is local. Follow-rate scoring and retrieval benchmarks are provider measurements, not proof of correct memory or rule enforcement. No package installed, hooks configured, memory queried or benchmark reproduced.

Workflow and handoff

Use a test workspace, inspect captured facts and hooks, and remove stale or sensitive memory before granting broader agent access.

Pricing and practical limits

Python on macOS/Linux/Windows. Recall path is described as local without LLM/network calls; optional summaries and graph extraction use the configured local or hosted model. A hosted agent may process recalled context even when the memory store is local. Follow-rate scoring and retrieval benchmarks are provider measurements, not proof of correct memory or rule enforcement. No package installed, hooks configured, memory queried or benchmark reproduced.

Review method

Official product evidence reviewed on 2026-10-09; product artwork inspected visually. No hands-on vendor application test was performed. Application performance, security claims and plan enforcement were not independently tested.

What it can do

Features & capabilities

Unknown is different from unavailable. Each fact carries its own evidence.

CapabilityValueEvidenceChecked
Product workflowPMB stores project facts, decisions and lessons in local SQLite/LanceDB data and exposes memory through MCP. Hooks can recall context before an agent turn and journal subsequent work.Facts sourced2026-10-09
Pricing and restrictionsPython on macOS/Linux/Windows. Recall path is described as local without LLM/network calls; optional summaries and graph extraction use the configured local or hosted model. A hosted agent may process recalled context even when the memory store is local. Follow-rate scoring and retrieval benchmarks are provider measurements, not proof of correct memory or rule enforcement. No package installed, hooks configured, memory queried or benchmark reproduced.Facts sourced2026-10-09

Understand the total cost

PMB pricing & plans

Apache-2.0 software

Free

Ongoing; optional model costs separate

Included scope
Local memory, MCP and dashboard
Explore pricing & history

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The practical questions

Frequently asked questions

Was the application hands-on tested?

No. This listing is based on dated official-source evidence and a visual artwork check. Unconfirmed costs and restrictions are identified explicitly.

What is PMB used for?

PMB stores project facts, decisions and lessons in local SQLite/LanceDB data and exposes memory through MCP. Hooks can recall context before an agent turn and journal subsequent work.

Does PMB have a free plan?

Free Apache-2.0 open-source software; optional external model and hosting costs remain separate.. This record lists ongoing free access; check the plan limits before starting.

How much does PMB cost?

No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.

Can I use PMB through an API?

MCP stdio, CLI and local dashboard; advertised wiring for Claude Code, Cursor, Codex, Zed and other MCP clients.. API access and subscription access may have different terms; consult the linked sources.

What should I check before choosing it?

Python on macOS/Linux/Windows. Recall path is described as local without LLM/network calls; optional summaries and graph extraction use the configured local or hosted model. A hosted agent may process recalled context even when the memory store is local. Follow-rate scoring and retrieval benchmarks are provider measurements, not proof of correct memory or rule enforcement. No package installed, hooks configured, memory queried or benchmark reproduced.

Price history

No retained pricing changes yet. A current price alone does not establish a historical trend.

How this profile is supported

Official product information

Current official product source read individually; product artwork inspected visually.

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Pricing review

Official product page reviewed for disclosed costs; unverified prices and allowances are identified in the listing.

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Facts apply to the named version and check date. Send a sourced correction if something changed.