--- title: "llm-wiki-agent vs memsearch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/samuraigpt-llm-wiki-agent-vs-zilliztech-memsearch" tools: ["samuraigpt-llm-wiki-agent", "zilliztech-memsearch"] --- # llm-wiki-agent vs memsearch *GraphCanon updated Aug 22, 2026* ## Verdict Pick llm-wiki-agent if llm-wiki-agent serves as a self-maintained personal knowledge base using AI agents like Claude, Codex, OpenCode, and Gemini CLI; pick memsearch if memsearch is a hybrid memory management solution for AI agents with Markdown and Milvus backing, ideal for rich semantic search and long-term data storage. [llm-wiki-agent](https://github.com/SamurAIGPT/llm-wiki-agent) reports 3.3k GitHub stars, 388 forks, and 3 open issues, last pushed Aug 3, 2026. [memsearch](https://zilliztech.github.io/memsearch/) has 2.5k stars, 231 forks, and 240 open issues, last pushed Aug 21, 2026. Figures are from public GitHub metadata via [llm-wiki-agent's repository](https://github.com/SamurAIGPT/llm-wiki-agent) and [memsearch's repository](https://github.com/zilliztech/memsearch). | | [llm-wiki-agent](/tools/samuraigpt-llm-wiki-agent.md) | [memsearch](/tools/zilliztech-memsearch.md) | | --- | --- | --- | | Tagline | A personal knowledge base that builds and maintains itself using various AI agents. | A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus. | | Stars | 3,334 | 2,491 | | Forks | 388 | 231 | | Open issues | 3 | 240 | | Language | Python | Python | | Adopt for | llm-wiki-agent serves as a self-maintained personal knowledge base using AI agents like Claude, Codex, OpenCode, and Gemini CLI. | memsearch is a hybrid memory management solution for AI agents with Markdown and Milvus backing, ideal for rich semantic search and long-term data storage. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llm-wiki-agent](/tools/samuraigpt-llm-wiki-agent.md) | [memsearch](/tools/zilliztech-memsearch.md) | | --- | --- | --- | | Days since push | 5d | 0d | | Open issues (now) | 3 | 240 | | Stars delta | Unknown | +155 (30d) | | Open issues delta | Unknown | +9 (30d) | | Full report | [trust report](/tools/samuraigpt-llm-wiki-agent/trust.md) | [trust report](/tools/zilliztech-memsearch/trust.md) | ## Decision facts: llm-wiki-agent - **Adopt for:** llm-wiki-agent serves as a self-maintained personal knowledge base using AI agents like Claude, Codex, OpenCode, and Gemini CLI. ## Decision facts: memsearch - **Adopt for:** memsearch is a hybrid memory management solution for AI agents with Markdown and Milvus backing, ideal for rich semantic search and long-term data storage. ## Choose when ### Choose llm-wiki-agent if… - Tags unique to llm-wiki-agent: ai-agent, automation, knowledge-base, llm. - When you need to create an interlinked wiki without setting up API keys or configuring Python environments. - More GitHub stars (3.3k vs 2.5k) - visibility, not fit. ### Choose memsearch if… - Tags unique to memsearch: agent-memory, long-term-memory, milvus, semantic-search. - Also covers Vector Databases. - When you need robust integration with AI agents like Claude Code or Codex ## When NOT to use llm-wiki-agent - If the process requires strict privacy controls and no third-party AI agents can be used. - When your project needs real-time interaction with APIs for dynamic content integration, as llm-wiki-agent does not support API-driven operations. ## When NOT to use memsearch - If your application doesn't require integration with specific AI agents like Claude Code - In cases where only simple text data storage without semantic search is needed ## Common questions ### What is the difference between llm-wiki-agent and memsearch? llm-wiki-agent: A personal knowledge base that builds and maintains itself using various AI agents.. memsearch: A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus.. See the comparison table for live GitHub stats and shared categories. ### When should I choose llm-wiki-agent over memsearch? Choose llm-wiki-agent over memsearch when Tags unique to llm-wiki-agent: ai-agent, automation, knowledge-base, llm; When you need to create an interlinked wiki without setting up API keys or configuring Python environments; More GitHub stars (3.3k vs 2.5k) - visibility, not fit. ### When should I choose memsearch over llm-wiki-agent? Choose memsearch over llm-wiki-agent when Tags unique to memsearch: agent-memory, long-term-memory, milvus, semantic-search; Also covers Vector Databases; When you need robust integration with AI agents like Claude Code or Codex. ### When should I avoid llm-wiki-agent? If the process requires strict privacy controls and no third-party AI agents can be used. When your project needs real-time interaction with APIs for dynamic content integration, as llm-wiki-agent does not support API-driven operations. ### When should I avoid memsearch? If your application doesn't require integration with specific AI agents like Claude Code In cases where only simple text data storage without semantic search is needed ### Is llm-wiki-agent or memsearch more popular on GitHub? llm-wiki-agent has more GitHub stars (3,334 vs 2,491). Stars measure visibility, not whether either tool fits your constraints. ### Are llm-wiki-agent and memsearch open source? Yes - both are open-source projects on GitHub (llm-wiki-agent: MIT, memsearch: MIT). ### Where can I find alternatives to llm-wiki-agent or memsearch? GraphCanon lists graph-backed alternatives at [llm-wiki-agent alternatives](/tools/samuraigpt-llm-wiki-agent/alternatives) and [memsearch alternatives](/tools/zilliztech-memsearch/alternatives) ([llm-wiki-agent markdown twin](/tools/samuraigpt-llm-wiki-agent/alternatives.md), [memsearch markdown twin](/tools/zilliztech-memsearch/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/samuraigpt-llm-wiki-agent-vs-zilliztech-memsearch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, llm-wiki-agent or memsearch? llm-wiki-agent: Very active. memsearch: 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 llm-wiki-agent and memsearch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llm-wiki-agent trust report](/tools/samuraigpt-llm-wiki-agent/trust); [memsearch trust report](/tools/zilliztech-memsearch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=samuraigpt-llm-wiki-agent`](/api/graphcanon/graph?tool=samuraigpt-llm-wiki-agent) - 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/_