--- title: "askimo vs memsearch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/askimo-ai-askimo-vs-zilliztech-memsearch" tools: ["askimo-ai-askimo", "zilliztech-memsearch"] --- # askimo vs memsearch *GraphCanon updated Aug 22, 2026* ## Verdict Pick askimo when askimo is primarily Kotlin; memsearch is Python; pick memsearch when memsearch is primarily Python; askimo is Kotlin. [askimo](https://askimo.chat) reports 318 GitHub stars, 66 forks, and 19 open issues, last pushed Aug 13, 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 [askimo's repository](https://github.com/askimo-ai/askimo) and [memsearch's repository](https://github.com/zilliztech/memsearch). | | [askimo](/tools/askimo-ai-askimo.md) | [memsearch](/tools/zilliztech-memsearch.md) | | --- | --- | --- | | Tagline | AI Client for chat, RAG, and agents with multi-provider model support. | A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus. | | Stars | 318 | 2,491 | | Forks | 66 | 231 | | Open issues | 19 | 240 | | Language | Kotlin | Python | | 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. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [askimo](/tools/askimo-ai-askimo.md) | [memsearch](/tools/zilliztech-memsearch.md) | | --- | --- | --- | | Open issues (now) | 19 | 240 | | Stars delta | Unknown | +155 (30d) | | Open issues delta | Unknown | +9 (30d) | | Full report | [trust report](/tools/askimo-ai-askimo/trust.md) | [trust report](/tools/zilliztech-memsearch/trust.md) | ## Decision facts: askimo - **Pricing:** unknown - The pricing information on the Askimo repository is not specified. ## 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 askimo if… - askimo is primarily Kotlin; memsearch is Python. - License: askimo is AGPL-3.0, memsearch is MIT. - Pricing: The pricing information on the Askimo repository is not specified.. - Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client. - Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI. ### Choose memsearch if… - memsearch is primarily Python; askimo is Kotlin. - License: memsearch is MIT, askimo is AGPL-3.0. - 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 askimo - Avoid if you require a solution that supports languages other than Kotlin, as Askimo is exclusively built for Kotlin environments. - Not suitable if your project has strict licensing requirements and requires proprietary code, due to its AGPL-3.0 license which might impose restrictions. ## 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 askimo and memsearch? askimo: AI Client for chat, RAG, and agents with multi-provider model support.. 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 askimo over memsearch? Choose askimo over memsearch when askimo is primarily Kotlin; memsearch is Python; License: askimo is AGPL-3.0, memsearch is MIT; Pricing: The pricing information on the Askimo repository is not specified.; Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client; Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI. ### When should I choose memsearch over askimo? Choose memsearch over askimo when memsearch is primarily Python; askimo is Kotlin; License: memsearch is MIT, askimo is AGPL-3.0; 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 askimo? Avoid if you require a solution that supports languages other than Kotlin, as Askimo is exclusively built for Kotlin environments. Not suitable if your project has strict licensing requirements and requires proprietary code, due to its AGPL-3.0 license which might impose restrictions. ### 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 askimo or memsearch more popular on GitHub? memsearch has more GitHub stars (2,491 vs 318). Stars measure visibility, not whether either tool fits your constraints. ### Are askimo and memsearch open source? Yes - both are open-source projects on GitHub (askimo: AGPL-3.0, memsearch: MIT). ### Where can I find alternatives to askimo or memsearch? GraphCanon lists graph-backed alternatives at [askimo alternatives](/tools/askimo-ai-askimo/alternatives) and [memsearch alternatives](/tools/zilliztech-memsearch/alternatives) ([askimo markdown twin](/tools/askimo-ai-askimo/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/askimo-ai-askimo-vs-zilliztech-memsearch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, askimo or memsearch? askimo: 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 askimo and memsearch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [askimo trust report](/tools/askimo-ai-askimo/trust); [memsearch trust report](/tools/zilliztech-memsearch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=askimo-ai-askimo`](/api/graphcanon/graph?tool=askimo-ai-askimo) - 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/_