--- title: "anything-llm vs agent-toolkit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-softaworks-agent-toolkit" tools: ["mintplex-labs-anything-llm", "softaworks-agent-toolkit"] --- # anything-llm vs agent-toolkit *GraphCanon updated Jul 15, 2026* ## Verdict Pick anything-llm when anything-llm is primarily JavaScript; agent-toolkit is Python; pick agent-toolkit when agent-toolkit is primarily Python; anything-llm is JavaScript. [anything-llm](https://anythingllm.com) reports 63k GitHub stars, 6.9k forks, and 320 open issues, last pushed Jul 11, 2026. [agent-toolkit](https://github.com/softaworks/agent-toolkit) has 2.2k stars, 210 forks, and 18 open issues, last pushed Mar 5, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [agent-toolkit's repository](https://github.com/softaworks/agent-toolkit). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [agent-toolkit](/tools/softaworks-agent-toolkit.md) | | --- | --- | --- | | Tagline | Self-hosted agent experience with deployment scripts for multiple environments | A curated collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities across development, documentation, planning, and professional workflows | | Stars | 63,100 | 2,190 | | Forks | 6,907 | 210 | | Open issues | 320 | 18 | | Language | JavaScript | Python | | Adopt for | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Inference & Serving | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [agent-toolkit](/tools/softaworks-agent-toolkit.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 131d | | Open issues (now) | 320 | 18 | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/softaworks-agent-toolkit/trust.md) | ## Decision facts: anything-llm - **Adopt for:** Self-hosted AI agent experience with robust deployment scripts across multiple environments. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; agent-toolkit is Python. - Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm. - Also covers Inference & Serving. - When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### Choose agent-toolkit if… - agent-toolkit is primarily Python; anything-llm is JavaScript. - Tags unique to agent-toolkit: agent-skills, ai, automation, claude. - Also covers Vector Databases. ## When NOT to use anything-llm - Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. - Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ## When NOT to use agent-toolkit - Last GitHub push was 132 days ago (slowing maintenance, Mar 5, 2026). Validate activity before betting a new project on agent-toolkit. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between anything-llm and agent-toolkit? anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. agent-toolkit: A curated collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities across development, documentation, planning, and professional workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over agent-toolkit? Choose anything-llm over agent-toolkit when anything-llm is primarily JavaScript; agent-toolkit is Python; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### When should I choose agent-toolkit over anything-llm? Choose agent-toolkit over anything-llm when agent-toolkit is primarily Python; anything-llm is JavaScript; Tags unique to agent-toolkit: agent-skills, ai, automation, claude; Also covers Vector Databases. ### When should I avoid anything-llm? Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ### When should I avoid agent-toolkit? Last GitHub push was 132 days ago (slowing maintenance, Mar 5, 2026). Validate activity before betting a new project on agent-toolkit. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is anything-llm or agent-toolkit more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 2,190). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and agent-toolkit open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, agent-toolkit: MIT). ### Where can I find alternatives to anything-llm or agent-toolkit? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [agent-toolkit alternatives](/tools/softaworks-agent-toolkit/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [agent-toolkit markdown twin](/tools/softaworks-agent-toolkit/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/mintplex-labs-anything-llm-vs-softaworks-agent-toolkit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or agent-toolkit? anything-llm: Very active. agent-toolkit: Slowing. 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 anything-llm and agent-toolkit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [agent-toolkit trust report](/tools/softaworks-agent-toolkit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mintplex-labs-anything-llm`](/api/graphcanon/graph?tool=mintplex-labs-anything-llm) - 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/_