--- title: "askimo vs vault-ai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/askimo-ai-askimo-vs-pashpashpash-vault-ai" tools: ["askimo-ai-askimo", "pashpashpash-vault-ai"] --- # askimo vs vault-ai *GraphCanon updated Sep 20, 2026* ## Verdict Pick askimo when askimo is primarily Kotlin; vault-ai is JavaScript; pick vault-ai when vault-ai is primarily JavaScript; askimo is Kotlin. [askimo](https://askimo.chat) reports 485 GitHub stars, 100 forks, and 15 open issues, last pushed Sep 20, 2026. [vault-ai](https://vault.pash.city) has 3.4k stars, 295 forks, and 50 open issues, last pushed Jul 8, 2025. Figures are from public GitHub metadata via [askimo's repository](https://github.com/askimo-ai/askimo) and [vault-ai's repository](https://github.com/pashpashpash/vault-ai). | | [askimo](/tools/askimo-ai-askimo.md) | [vault-ai](/tools/pashpashpash-vault-ai.md) | | --- | --- | --- | | Tagline | AI Client for chat, RAG, and agents with multi-provider model support. | Enhances ChatGPT with long-term memory using Pinecone Vector Database and React frontend for custom knowledge base uploads. | | Stars | 485 | 3,391 | | Forks | 100 | 295 | | Open issues | 15 | 50 | | Language | Kotlin | JavaScript | | Adopt for | - | vault-ai is a tool that gives long-term memory capabilities to ChatGPT by integrating Pinecone Vector Database with an easy-to-use React frontend for uploading various types of files into the system. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [askimo](/tools/askimo-ai-askimo.md) | [vault-ai](/tools/pashpashpash-vault-ai.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 438d | | Open issues (now) | 15 | 50 | | Stars delta | +167 (30d) | +4 (30d) | | Open issues delta | -4 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/askimo-ai-askimo/trust.md) | [trust report](/tools/pashpashpash-vault-ai/trust.md) | ## Decision facts: askimo - **Pricing:** unknown - The pricing information on the Askimo repository is not specified. ## Decision facts: vault-ai - **Adopt for:** vault-ai is a tool that gives long-term memory capabilities to ChatGPT by integrating Pinecone Vector Database with an easy-to-use React frontend for uploading various types of files into the system. ## Choose when ### Choose askimo if… - askimo is primarily Kotlin; vault-ai is JavaScript. - License: askimo is AGPL-3.0, vault-ai is MIT. - Pricing: The pricing information on the Askimo repository is not specified.. - Tags unique to askimo: agentic-workflow, ai-assistant, chat-client, langchain4j. - Also covers AI Agents. - Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI. ### Choose vault-ai if… - vault-ai is primarily JavaScript; askimo is Kotlin. - License: vault-ai is MIT, askimo is AGPL-3.0. - Tags unique to vault-ai: ai, chatgpt, generative, long-term-memory. - Also covers Vector Databases. - When you need a custom knowledge base that can be queried using a generative AI model, such as extending ChatGPT with historical context from uploaded documents in formats like PDFs or txt. ## 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 vault-ai - When your requirements do not include uploading custom content for the AI to learn from, as vault-ai focuses on integrating a knowledge base with ChatGPT. - If you prefer using other vector search databases such as Qdrant instead of Pinecone, as vault-ai is specifically designed around Pinecone. ## Common questions ### What is the difference between askimo and vault-ai? askimo: AI Client for chat, RAG, and agents with multi-provider model support.. vault-ai: Enhances ChatGPT with long-term memory using Pinecone Vector Database and React frontend for custom knowledge base uploads.. See the comparison table for live GitHub stats and shared categories. ### When should I choose askimo over vault-ai? Choose askimo over vault-ai when askimo is primarily Kotlin; vault-ai is JavaScript; License: askimo is AGPL-3.0, vault-ai is MIT; Pricing: The pricing information on the Askimo repository is not specified.; Tags unique to askimo: agentic-workflow, ai-assistant, chat-client, langchain4j; Also covers AI Agents; 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 vault-ai over askimo? Choose vault-ai over askimo when vault-ai is primarily JavaScript; askimo is Kotlin; License: vault-ai is MIT, askimo is AGPL-3.0; Tags unique to vault-ai: ai, chatgpt, generative, long-term-memory; Also covers Vector Databases; When you need a custom knowledge base that can be queried using a generative AI model, such as extending ChatGPT with historical context from uploaded documents in formats like PDFs or txt. ### 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 vault-ai? When your requirements do not include uploading custom content for the AI to learn from, as vault-ai focuses on integrating a knowledge base with ChatGPT. If you prefer using other vector search databases such as Qdrant instead of Pinecone, as vault-ai is specifically designed around Pinecone. ### Is askimo or vault-ai more popular on GitHub? vault-ai has more GitHub stars (3,391 vs 485). Stars measure visibility, not whether either tool fits your constraints. ### Are askimo and vault-ai open source? Yes - both are open-source projects on GitHub (askimo: AGPL-3.0, vault-ai: MIT). ### Where can I find alternatives to askimo or vault-ai? GraphCanon lists graph-backed alternatives at [askimo alternatives](/tools/askimo-ai-askimo/alternatives) and [vault-ai alternatives](/tools/pashpashpash-vault-ai/alternatives) ([askimo markdown twin](/tools/askimo-ai-askimo/alternatives.md), [vault-ai markdown twin](/tools/pashpashpash-vault-ai/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-pashpashpash-vault-ai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, askimo or vault-ai? askimo: Very active. vault-ai: Dormant. 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 vault-ai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [askimo trust report](/tools/askimo-ai-askimo/trust); [vault-ai trust report](/tools/pashpashpash-vault-ai/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/_