Alma
Alma is a local-first MCP server that gives AI agents a private, consent-based memory of your personal facts and preferences.
Alma
What is Alma?
Alma vs Similar AI Tools
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How to use Alma?
- 1Build from source with Cargo: 'cargo build --release'
- 2Run guided setup: './target/release/alma quickstart'
- 3Connect to a host: './target/release/alma connect cursor --apply --global' or './target/release/alma connect claude --apply'
- 4Agents interact via MCP using tools like 'alma_get_reading' and 'alma_propose_facet'
Alma Key Features
- Local-first, data stays on your machine
- Consent-based reads and writes with human approval tokens
- Append-only event log for auditability and reversibility
- Portable export as JWS-signed bundles
- Companion TUI for browsing and managing facets
- MCP protocol over stdio with scoped readings
Alma Use Cases
- Give AI agents consistent memory across different chats and tools
- Store personal preferences like name, role, and working style
- Enable privacy-respecting agent personalization
- Port self-model between vendors without vendor lock-in
Alma Pricing & Free Credits
Alma currently operates on a Free model.
This tool is completely free to use
Alma Pros & Cons
Pros
- Strong privacy: data stays local and consent-based
- Open source and auditable
- Vendor-independent portable self-model
- Granular access control for agents
Cons
- Experimental project, APIs may change
- Requires Rust toolchain to build
- No packaged releases yet
- Technical setup needed
What is Alma best for?
- Developers building privacy-conscious AI agents
- Users who want persistent agent memory without vendor lock-in
- Anyone needing local-first personal context for AI tools
Alma FAQ
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