--- title: "anything-llm vs go-streams" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-reugn-go-streams" tools: ["mintplex-labs-anything-llm", "reugn-go-streams"] --- # anything-llm vs go-streams *GraphCanon updated Sep 20, 2026* ## Verdict 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; pick go-streams if go-streams is a lightweight stream processing library for Go that simplifies constructing and executing data pipelines and streaming applications. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [go-streams](https://pkg.go.dev/github.com/reugn/go-streams) has 2.2k stars, 174 forks, and 12 open issues, last pushed Jan 14, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [go-streams's repository](https://github.com/reugn/go-streams). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [go-streams](/tools/reugn-go-streams.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | lightweight stream processing library for Go | | Stars | 66,167 | 2,172 | | Forks | 7,349 | 174 | | Open issues | 315 | 12 | | Language | JavaScript | Go | | 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. | go-streams is a lightweight stream processing library for Go that simplifies constructing and executing data pipelines and streaming applications. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | MIT | | Categories | AI Agents, Developer Tools, Inference & Serving | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [go-streams](/tools/reugn-go-streams.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 245d | | Open issues (now) | 315 | 12 | | Stars delta | +1.5k (30d) | 0 (30d) | | Open issues delta | -4 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/reugn-go-streams/trust.md) | ## 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. ## Decision facts: go-streams - **Adopt for:** go-streams is a lightweight stream processing library for Go that simplifies constructing and executing data pipelines and streaming applications. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; go-streams is Go. - 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. ### Choose go-streams if… - go-streams is primarily Go; anything-llm is JavaScript. - Tags unique to go-streams: aerospike, data-pipeline, kafka, low-code. - Also covers Data & Retrieval. - When you need a lightweight solution for handling streams in Go projects. ## 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. ## When NOT to use go-streams - In scenarios where a more robust framework with extended features beyond lightweight streams is required. - For projects preferring languages other than Go, as go-streams is exclusively for Go applications and does not offer similar functionality out-of-the-box compared to language-agnostic tools. ## Common questions ### What is the difference between anything-llm and go-streams? anything-llm: Self-hosted AI agent experience. go-streams: lightweight stream processing library for Go. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over go-streams? Choose anything-llm over go-streams when anything-llm is primarily JavaScript; go-streams is Go; 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 choose go-streams over anything-llm? Choose go-streams over anything-llm when go-streams is primarily Go; anything-llm is JavaScript; Tags unique to go-streams: aerospike, data-pipeline, kafka, low-code; Also covers Data & Retrieval; When you need a lightweight solution for handling streams in Go projects. ### 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. ### When should I avoid go-streams? In scenarios where a more robust framework with extended features beyond lightweight streams is required. For projects preferring languages other than Go, as go-streams is exclusively for Go applications and does not offer similar functionality out-of-the-box compared to language-agnostic tools. ### Is anything-llm or go-streams more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 2,172). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and go-streams open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, go-streams: MIT). ### Where can I find alternatives to anything-llm or go-streams? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [go-streams alternatives](/tools/reugn-go-streams/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [go-streams markdown twin](/tools/reugn-go-streams/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-reugn-go-streams.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or go-streams? anything-llm: Very active. go-streams: 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 go-streams? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [go-streams trust report](/tools/reugn-go-streams/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/_