--- title: "Alpaca vs claude-mem" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jeffser-alpaca-vs-thedotmack-claude-mem" tools: ["jeffser-alpaca", "thedotmack-claude-mem"] --- # Alpaca vs claude-mem *GraphCanon updated Jul 15, 2026* ## Verdict Pick Alpaca when alpaca is primarily Python; claude-mem is JavaScript; pick claude-mem when claude-mem is primarily JavaScript; Alpaca is Python. [Alpaca](https://jeffser.com/alpaca) reports 1.6k GitHub stars, 144 forks, and 122 open issues, last pushed Jun 26, 2026. [claude-mem](https://claude-mem.ai) has 87k stars, 7.5k forks, and 252 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [Alpaca's repository](https://github.com/Jeffser/Alpaca) and [claude-mem's repository](https://github.com/thedotmack/claude-mem). | | [Alpaca](/tools/jeffser-alpaca.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Tagline | 🦙 Local and online AI hub | Persistent Context Across Sessions for Every Agent | | Stars | 1,601 | 86,816 | | Forks | 144 | 7,500 | | Open issues | 122 | 252 | | Language | Python | JavaScript | | Adopt for | - | claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | Claude-Mem is distributed under the Apache License 2.0, allowing it to be freely used in a variety of development and production environments while maintaining clear licensing terms. | | Categories | Computer Vision, Inference & Serving, Vector Databases | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Alpaca](/tools/jeffser-alpaca.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 19d | 1d | | Open issues (now) | 122 | 252 | | Full report | [trust report](/tools/jeffser-alpaca/trust.md) | [trust report](/tools/thedotmack-claude-mem/trust.md) | ## Decision facts: claude-mem - **Requirements:** Requires Node.js v20.0.0 or higher.; Must have the latest version of Claude Code with plugin support.; Auto-installs Bun (JavaScript runtime and process manager) if not already present.; Requires uv (Python package for vector search), auto-installation supported. - **Adopt for:** claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity. - **License detail:** Claude-Mem is distributed under the Apache License 2.0, allowing it to be freely used in a variety of development and production environments while maintaining clear licensing terms. ## Choose when ### Choose Alpaca if… - Alpaca is primarily Python; claude-mem is JavaScript. - License: Alpaca is GPL-3.0, claude-mem is Apache-2.0. - Tags unique to Alpaca: adwaita, flatpak, gnome, gtk4. - Also covers Computer Vision, Vector Databases. ### Choose claude-mem if… - claude-mem is primarily JavaScript; Alpaca is Python. - License: claude-mem is Apache-2.0, Alpaca is GPL-3.0. - Requirements: Requires Node.js v20.0.0 or higher.; Must have the latest version of Claude Code with plugin support.; Auto-installs Bun (JavaScript runtime and process manager) if not already present.; Requires uv (Python package for vector search), auto-installation supported.. - Tags unique to claude-mem: ai-agents, ai-memory, chromadb, claude. - Also covers AI Agents. - When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents. ## When NOT to use Alpaca - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use claude-mem - When working in environments where Node.js v20.0.0 or higher cannot be installed, as claude-mem requires this version to operate. - If your specific AI agent or tool does not integrate with the supported frameworks listed (e.g., Claude Code, OpenClaw), making context persistence ineffective for your workflow. ## Common questions ### What is the difference between Alpaca and claude-mem? Alpaca: 🦙 Local and online AI hub. claude-mem: Persistent Context Across Sessions for Every Agent. See the comparison table for live GitHub stats and shared categories. ### When should I choose Alpaca over claude-mem? Choose Alpaca over claude-mem when Alpaca is primarily Python; claude-mem is JavaScript; License: Alpaca is GPL-3.0, claude-mem is Apache-2.0; Tags unique to Alpaca: adwaita, flatpak, gnome, gtk4; Also covers Computer Vision, Vector Databases. ### When should I choose claude-mem over Alpaca? Choose claude-mem over Alpaca when claude-mem is primarily JavaScript; Alpaca is Python; License: claude-mem is Apache-2.0, Alpaca is GPL-3.0; Requirements: Requires Node.js v20.0.0 or higher.; Must have the latest version of Claude Code with plugin support.; Auto-installs Bun (JavaScript runtime and process manager) if not already present.; Requires uv (Python package for vector search), auto-installation supported.; Tags unique to claude-mem: ai-agents, ai-memory, chromadb, claude; Also covers AI Agents; When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents. ### When should I avoid Alpaca? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### When should I avoid claude-mem? When working in environments where Node.js v20.0.0 or higher cannot be installed, as claude-mem requires this version to operate. If your specific AI agent or tool does not integrate with the supported frameworks listed (e.g., Claude Code, OpenClaw), making context persistence ineffective for your workflow. ### Is Alpaca or claude-mem more popular on GitHub? claude-mem has more GitHub stars (86,816 vs 1,601). Stars measure visibility, not whether either tool fits your constraints. ### Are Alpaca and claude-mem open source? Yes - both are open-source projects on GitHub (Alpaca: GPL-3.0, claude-mem: Apache-2.0). ### Where can I find alternatives to Alpaca or claude-mem? GraphCanon lists graph-backed alternatives at [Alpaca alternatives](/tools/jeffser-alpaca/alternatives) and [claude-mem alternatives](/tools/thedotmack-claude-mem/alternatives) ([Alpaca markdown twin](/tools/jeffser-alpaca/alternatives.md), [claude-mem markdown twin](/tools/thedotmack-claude-mem/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/jeffser-alpaca-vs-thedotmack-claude-mem.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Alpaca or claude-mem? Alpaca: Active. claude-mem: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Alpaca and claude-mem? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Alpaca trust report](/tools/jeffser-alpaca/trust); [claude-mem trust report](/tools/thedotmack-claude-mem/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jeffser-alpaca`](/api/graphcanon/graph?tool=jeffser-alpaca) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_