--- title: "llama-github vs claude-mem" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jetxu-llm-llama-github-vs-thedotmack-claude-mem" tools: ["jetxu-llm-llama-github", "thedotmack-claude-mem"] --- # llama-github vs claude-mem *GraphCanon updated Jul 11, 2026* ## Verdict Pick llama-github when llama-github is primarily Python; claude-mem is JavaScript; pick claude-mem when claude-mem is primarily JavaScript; llama-github is Python. [llama-github](https://pypi.org/project/llama-github/) reports 295 GitHub stars, 23 forks, and 10 open issues, last pushed Mar 29, 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 [llama-github's repository](https://github.com/JetXu-LLM/llama-github) and [claude-mem's repository](https://github.com/thedotmack/claude-mem). | | [llama-github](/tools/jetxu-llm-llama-github.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Tagline | Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LL | Persistent Context Across Sessions for Every Agent | | Stars | 295 | 86,816 | | Forks | 23 | 7,500 | | Open issues | 10 | 252 | | Language | Python | JavaScript | | Adopt for | - | claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | 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 | LLM Frameworks, AI Agents, Inference & Serving | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llama-github](/tools/jetxu-llm-llama-github.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 104d | 1d | | Open issues (now) | 10 | 252 | | Security scan | 127 low (127 low) | No lockfile | | Full report | [trust report](/tools/jetxu-llm-llama-github/trust.md) | [trust report](/tools/thedotmack-claude-mem/trust.md) | ## Shared compatibility - **Python**: [llama-github](/tools/jetxu-llm-llama-github.md) - Python runtime; [claude-mem](/tools/thedotmack-claude-mem.md) - Python runtime ## 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 llama-github if… - llama-github is primarily Python; claude-mem is JavaScript. - Tags unique to llama-github: github, ai-code-generator, jinaai, github-api. - Also covers LLM Frameworks. ### Choose claude-mem if… - claude-mem is primarily JavaScript; llama-github is Python. - 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: chromadb, ai-memory, claude, long-term-memory. - When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents. ## When NOT to use llama-github - Last GitHub push was 105 days ago (slowing maintenance, Mar 29, 2026). Validate activity before betting a new project on llama-github. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## 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 llama-github and claude-mem? llama-github: Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LL. claude-mem: Persistent Context Across Sessions for Every Agent. See the comparison table for live GitHub stats and shared categories. ### When should I choose llama-github over claude-mem? Choose llama-github over claude-mem when llama-github is primarily Python; claude-mem is JavaScript; Tags unique to llama-github: github, ai-code-generator, jinaai, github-api; Also covers LLM Frameworks. ### When should I choose claude-mem over llama-github? Choose claude-mem over llama-github when claude-mem is primarily JavaScript; llama-github is Python; 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: chromadb, ai-memory, claude, long-term-memory; When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents. ### When should I avoid llama-github? Last GitHub push was 105 days ago (slowing maintenance, Mar 29, 2026). Validate activity before betting a new project on llama-github. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### 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 llama-github or claude-mem more popular on GitHub? claude-mem has more GitHub stars (86,816 vs 295). Stars measure visibility, not whether either tool fits your constraints. ### Are llama-github and claude-mem open source? Yes - both are open-source projects on GitHub (llama-github: Apache-2.0, claude-mem: Apache-2.0). ### Where can I find alternatives to llama-github or claude-mem? GraphCanon lists graph-backed alternatives at [llama-github alternatives](/tools/jetxu-llm-llama-github/alternatives) and [claude-mem alternatives](/tools/thedotmack-claude-mem/alternatives) ([llama-github markdown twin](/tools/jetxu-llm-llama-github/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/jetxu-llm-llama-github-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, llama-github or claude-mem? llama-github: Slowing. 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 llama-github and claude-mem? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llama-github trust report](/tools/jetxu-llm-llama-github/trust); [claude-mem trust report](/tools/thedotmack-claude-mem/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jetxu-llm-llama-github`](/api/graphcanon/graph?tool=jetxu-llm-llama-github) - 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/_