---
title: "anything-llm vs local-llm-function-calling"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-rizerphe-local-llm-function-calling"
tools: ["mintplex-labs-anything-llm", "rizerphe-local-llm-function-calling"]
---

# anything-llm vs local-llm-function-calling

*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 local-llm-function-calling if local-llm-function-calling is designed for generating appropriate arguments and selecting functions to call within the context of local language model deployments.

[anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [local-llm-function-calling](https://local-llm-function-calling.readthedocs.io/) has 435 stars, 41 forks, and 6 open issues, last pushed Mar 12, 2024. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [local-llm-function-calling's repository](https://github.com/rizerphe/local-llm-function-calling).

| | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [local-llm-function-calling](/tools/rizerphe-local-llm-function-calling.md) |
| --- | --- | --- |
| Tagline | Self-hosted AI agent experience | Generates function arguments and selects functions to call with local LLMs |
| Stars | 66,167 | 435 |
| Forks | 7,349 | 41 |
| Open issues | 315 | 6 |
| Language | JavaScript | Python |
| 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. | local-llm-function-calling is designed for generating appropriate arguments and selecting functions to call within the context of local language model deployments. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT License, allowing for free use, modification, and distribution. | MIT |
| Categories | AI Agents, Developer Tools, Inference & Serving | Inference & Serving, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [local-llm-function-calling](/tools/rizerphe-local-llm-function-calling.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 921d |
| Open issues (now) | 315 | 6 |
| Stars delta | +1.5k (30d) | 0 (30d) |
| Open issues delta | -4 (30d) | 0 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/rizerphe-local-llm-function-calling/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: local-llm-function-calling

- **Adopt for:** local-llm-function-calling is designed for generating appropriate arguments and selecting functions to call within the context of local language model deployments.

## Choose when

### Choose anything-llm if…

- anything-llm is primarily JavaScript; local-llm-function-calling is Python.
- 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, Developer Tools.
- When you need a local-first AI agent experience that you can fully control and customize.

### Choose local-llm-function-calling if…

- local-llm-function-calling is primarily Python; anything-llm is JavaScript.
- Tags unique to local-llm-function-calling: chatgpt-functions, huggingface-transformers, json-schema, llm-inference.
- Also covers LLM Frameworks.
- When your project requires local handling of function calls with detailed argument generation from LLMs

## 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 local-llm-function-calling

- Avoid if you need cloud-based services exclusively, as this tool focuses on local deployments
- Do not use when your application specifically requires real-time integration with external web APIs that are not locally hosted

## Common questions

### What is the difference between anything-llm and local-llm-function-calling?

anything-llm: Self-hosted AI agent experience. local-llm-function-calling: Generates function arguments and selects functions to call with local LLMs. See the comparison table for live GitHub stats and shared categories.

### When should I choose anything-llm over local-llm-function-calling?

Choose anything-llm over local-llm-function-calling when anything-llm is primarily JavaScript; local-llm-function-calling is Python; 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, Developer Tools; When you need a local-first AI agent experience that you can fully control and customize.

### When should I choose local-llm-function-calling over anything-llm?

Choose local-llm-function-calling over anything-llm when local-llm-function-calling is primarily Python; anything-llm is JavaScript; Tags unique to local-llm-function-calling: chatgpt-functions, huggingface-transformers, json-schema, llm-inference; Also covers LLM Frameworks; When your project requires local handling of function calls with detailed argument generation from LLMs.

### 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 local-llm-function-calling?

Avoid if you need cloud-based services exclusively, as this tool focuses on local deployments Do not use when your application specifically requires real-time integration with external web APIs that are not locally hosted

### Is anything-llm or local-llm-function-calling more popular on GitHub?

anything-llm has more GitHub stars (66,167 vs 435). Stars measure visibility, not whether either tool fits your constraints.

### Are anything-llm and local-llm-function-calling open source?

Yes - both are open-source projects on GitHub (anything-llm: MIT, local-llm-function-calling: MIT).

### Where can I find alternatives to anything-llm or local-llm-function-calling?

GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [local-llm-function-calling alternatives](/tools/rizerphe-local-llm-function-calling/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [local-llm-function-calling markdown twin](/tools/rizerphe-local-llm-function-calling/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-rizerphe-local-llm-function-calling.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, anything-llm or local-llm-function-calling?

anything-llm: Very active. local-llm-function-calling: 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 anything-llm and local-llm-function-calling?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [local-llm-function-calling trust report](/tools/rizerphe-local-llm-function-calling/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/_