--- title: "mengram vs askimo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alibaizhanov-mengram-vs-askimo-ai-askimo" tools: ["alibaizhanov-mengram", "askimo-ai-askimo"] --- # mengram vs askimo *GraphCanon updated Sep 20, 2026* ## Verdict Pick mengram when mengram is primarily Python; askimo is Kotlin; pick askimo when askimo is primarily Kotlin; mengram is Python. [mengram](https://mengram.io) reports 196 GitHub stars, 34 forks, and 25 open issues, last pushed Sep 16, 2026. [askimo](https://askimo.chat) has 485 stars, 100 forks, and 15 open issues, last pushed Sep 20, 2026. Figures are from public GitHub metadata via [mengram's repository](https://github.com/alibaizhanov/mengram) and [askimo's repository](https://github.com/askimo-ai/askimo). | | [mengram](/tools/alibaizhanov-mengram.md) | [askimo](/tools/askimo-ai-askimo.md) | | --- | --- | --- | | Tagline | Human-like memory for AI agents | AI Client for chat, RAG, and agents with multi-provider model support. | | Stars | 196 | 485 | | Forks | 34 | 100 | | Open issues | 25 | 15 | | Language | Python | Kotlin | | Adopt for | mengram provides human-like memory capabilities for AI agents, including semantic, episodic, and procedural memory, enabling learning from experiences and failures. It offers free API access, Python and JS SDKs, and is a | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | AGPL-3.0 | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mengram](/tools/alibaizhanov-mengram.md) | [askimo](/tools/askimo-ai-askimo.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 25 | 15 | | Stars delta | +12 (30d) | +167 (30d) | | Open issues delta | -2 (30d) | -4 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/alibaizhanov-mengram/trust.md) | [trust report](/tools/askimo-ai-askimo/trust.md) | ## Decision facts: mengram - **Adopt for:** mengram provides human-like memory capabilities for AI agents, including semantic, episodic, and procedural memory, enabling learning from experiences and failures. It offers free API access, Python and JS SDKs, and is a ## Decision facts: askimo - **Pricing:** unknown - The pricing information on the Askimo repository is not specified. ## Choose when ### Choose mengram if… - mengram is primarily Python; askimo is Kotlin. - License: mengram is Apache-2.0, askimo is AGPL-3.0. - Tags unique to mengram: agent-memory, ai-agents, ai-memory, claude-desktop. - mengram ships Docker support for self-hosted deployment. - When you need an AI agent that can learn from its experiences and failures, leveraging semantic, episodic, and procedural memory capabilities. ### Choose askimo if… - askimo is primarily Kotlin; mengram is Python. - License: askimo is AGPL-3.0, mengram is Apache-2.0. - 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 NOT to use mengram - If your project does not require the specific memory capabilities of semantic, episodic, and procedural memory, mengram might offer more features than necessary. - If you are looking for a tool that does not require the setup of an MCP server, mengram might not be the best fit as it involves configuring this server. - For projects that do not need integration with LangChain, CrewAI, or OpenClaw, the specific integrations provided by mengram may not be beneficial. - If your AI agent development does not benefit from the use of pgvector, mengram's recent debugging efforts in this area may not be relevant to your needs. ## 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. ## Common questions ### What is the difference between mengram and askimo? mengram: Human-like memory for AI agents. askimo: AI Client for chat, RAG, and agents with multi-provider model support.. See the comparison table for live GitHub stats and shared categories. ### When should I choose mengram over askimo? Choose mengram over askimo when mengram is primarily Python; askimo is Kotlin; License: mengram is Apache-2.0, askimo is AGPL-3.0; Tags unique to mengram: agent-memory, ai-agents, ai-memory, claude-desktop; mengram ships Docker support for self-hosted deployment; When you need an AI agent that can learn from its experiences and failures, leveraging semantic, episodic, and procedural memory capabilities. ### When should I choose askimo over mengram? Choose askimo over mengram when askimo is primarily Kotlin; mengram is Python; License: askimo is AGPL-3.0, mengram is Apache-2.0; 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 avoid mengram? If your project does not require the specific memory capabilities of semantic, episodic, and procedural memory, mengram might offer more features than necessary. If you are looking for a tool that does not require the setup of an MCP server, mengram might not be the best fit as it involves configuring this server. For projects that do not need integration with LangChain, CrewAI, or OpenClaw, the specific integrations provided by mengram may not be beneficial. If your AI agent development does not benefit from the use of pgvector, mengram's recent debugging efforts in this area may not be relevant to your needs. ### 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. ### Is mengram or askimo more popular on GitHub? askimo has more GitHub stars (485 vs 196). Stars measure visibility, not whether either tool fits your constraints. ### Are mengram and askimo open source? Yes - both are open-source projects on GitHub (mengram: Apache-2.0, askimo: AGPL-3.0). ### Where can I find alternatives to mengram or askimo? GraphCanon lists graph-backed alternatives at [mengram alternatives](/tools/alibaizhanov-mengram/alternatives) and [askimo alternatives](/tools/askimo-ai-askimo/alternatives) ([mengram markdown twin](/tools/alibaizhanov-mengram/alternatives.md), [askimo markdown twin](/tools/askimo-ai-askimo/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/alibaizhanov-mengram-vs-askimo-ai-askimo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mengram or askimo? mengram: Very active. askimo: 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 mengram and askimo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mengram trust report](/tools/alibaizhanov-mengram/trust); [askimo trust report](/tools/askimo-ai-askimo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alibaizhanov-mengram`](/api/graphcanon/graph?tool=alibaizhanov-mengram) - 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/_