--- title: "Dayflow vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jerryzliu-dayflow-vs-mintplex-labs-anything-llm" tools: ["jerryzliu-dayflow", "mintplex-labs-anything-llm"] --- # Dayflow vs anything-llm *GraphCanon updated Sep 20, 2026* ## Verdict Pick Dayflow if dayflow is an open-source local-first macOS application that tracks user activities and accomplishments through screen recording with optional AI integrations to enhance productivity; pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. [Dayflow](https://www.dayflow.so/) reports 7.1k GitHub stars, 438 forks, and 91 open issues, last pushed Sep 18, 2026. [anything-llm](https://anythingllm.com) has 66k stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [Dayflow's repository](https://github.com/JerryZLiu/Dayflow) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [Dayflow](/tools/jerryzliu-dayflow.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Automatic work journal and time tracker with AI integration | Self-hosted AI agent experience | | Stars | 7,144 | 66,167 | | Forks | 438 | 7,349 | | Open issues | 91 | 315 | | Language | Swift | JavaScript | | Adopt for | Dayflow is an open-source local-first macOS application that tracks user activities and accomplishments through screen recording with optional AI integrations to enhance productivity. | anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License, allowing for free use, modification, and distribution. | | Categories | Developer Tools, Model Training | AI Agents, Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Dayflow](/tools/jerryzliu-dayflow.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 91 | 315 | | Stars delta | +274 (30d) | +1.5k (30d) | | Open issues delta | +2 (30d) | -4 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/jerryzliu-dayflow/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: Dayflow - **Adopt for:** Dayflow is an open-source local-first macOS application that tracks user activities and accomplishments through screen recording with optional AI integrations to enhance productivity. ## Decision facts: anything-llm - **Pricing:** freemium - Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure. - **Requirements:** Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment. - **Adopt for:** anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. - **License detail:** MIT License, allowing for free use, modification, and distribution. ## Choose when ### Choose Dayflow if… - Dayflow is primarily Swift; anything-llm is JavaScript. - Tags unique to Dayflow: ai, chatgpt, claude, gemini. - Also covers Model Training. - You need automatic tracking of your work on macOS, without cloud-based processing. ### Choose anything-llm if… - anything-llm is primarily JavaScript; Dayflow is Swift. - Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.. - Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.. - Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai. - Also covers AI Agents, Inference & Serving. - When you need a local-first AI agent experience that you can fully control and customize. ## When NOT to use Dayflow - If you require cross-platform support beyond macOS. - Looking for a solution that does not involve screen recording due to privacy concerns. ## When NOT to use anything-llm - If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. - When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ## Common questions ### What is the difference between Dayflow and anything-llm? Dayflow: Automatic work journal and time tracker with AI integration. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories. ### When should I choose Dayflow over anything-llm? Choose Dayflow over anything-llm when Dayflow is primarily Swift; anything-llm is JavaScript; Tags unique to Dayflow: ai, chatgpt, claude, gemini; Also covers Model Training; You need automatic tracking of your work on macOS, without cloud-based processing. ### When should I choose anything-llm over Dayflow? Choose anything-llm over Dayflow when anything-llm is primarily JavaScript; Dayflow is Swift; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers AI Agents, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize. ### When should I avoid Dayflow? If you require cross-platform support beyond macOS. Looking for a solution that does not involve screen recording due to privacy concerns. ### When should I avoid anything-llm? If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ### Is Dayflow or anything-llm more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 7,144). Stars measure visibility, not whether either tool fits your constraints. ### Are Dayflow and anything-llm open source? Yes - both are open-source projects on GitHub (Dayflow: MIT, anything-llm: MIT). ### Where can I find alternatives to Dayflow or anything-llm? GraphCanon lists graph-backed alternatives at [Dayflow alternatives](/tools/jerryzliu-dayflow/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([Dayflow markdown twin](/tools/jerryzliu-dayflow/alternatives.md), [anything-llm markdown twin](/tools/mintplex-labs-anything-llm/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/jerryzliu-dayflow-vs-mintplex-labs-anything-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Dayflow or anything-llm? Dayflow: Very active. anything-llm: 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 Dayflow and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Dayflow trust report](/tools/jerryzliu-dayflow/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jerryzliu-dayflow`](/api/graphcanon/graph?tool=jerryzliu-dayflow) - 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/_