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

# local-llm-function-calling vs catai

*GraphCanon updated Aug 25, 2026*

## Verdict

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; pick catai if catai, an AI assistant framework built for local deployment with Node.js, offers developers using TypeScript the ability to create and deploy AI agents through a simple API.

[local-llm-function-calling](https://local-llm-function-calling.readthedocs.io/) reports 435 GitHub stars, 41 forks, and 6 open issues, last pushed Mar 12, 2024. [catai](https://withcatai.github.io/catai/) has 498 stars, 39 forks, and 2 open issues, last pushed Nov 16, 2025. Figures are from public GitHub metadata via [local-llm-function-calling's repository](https://github.com/rizerphe/local-llm-function-calling) and [catai's repository](https://github.com/withcatai/catai).

| | [local-llm-function-calling](/tools/rizerphe-local-llm-function-calling.md) | [catai](/tools/withcatai-catai.md) |
| --- | --- | --- |
| Tagline | Generates function arguments and selects functions to call with local LLMs | Run AI assistant locally with Node.js |
| Stars | 435 | 498 |
| Forks | 41 | 39 |
| Open issues | 6 | 2 |
| Language | Python | TypeScript |
| 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. | catai, an AI assistant framework built for local deployment with Node.js, offers developers using TypeScript the ability to create and deploy AI agents through a simple API. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | Inference & Serving, LLM Frameworks | AI Agents, Inference & Serving |

## Trust and health

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

| | [local-llm-function-calling](/tools/rizerphe-local-llm-function-calling.md) | [catai](/tools/withcatai-catai.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Slowing (36%) |
| Days since push | 895d | 269d |
| Open issues (now) | 6 | 2 |
| Stars delta | 0 (30d) | Unknown |
| Open issues delta | 0 (30d) | Unknown |
| Owner type | User | Organization |
| Full report | [trust report](/tools/rizerphe-local-llm-function-calling/trust.md) | [trust report](/tools/withcatai-catai/trust.md) |

## 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.

## Decision facts: catai

- **Adopt for:** catai, an AI assistant framework built for local deployment with Node.js, offers developers using TypeScript the ability to create and deploy AI agents through a simple API.

## Choose when

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

- local-llm-function-calling is primarily Python; catai is TypeScript.
- 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

### Choose catai if…

- catai is primarily TypeScript; local-llm-function-calling is Python.
- Tags unique to catai: ai-assistant, chatbot, ggmlv3, llama-cpp.
- Also covers AI Agents.
- - When aiming to deploy a local AI assistant without reliance on cloud-based services; catai is ideal due to its focus on node-llama-cpp integration, allowing for robust offline capabilities.

## 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

## When NOT to use catai

- - For environments that strictly prohibit or limit Node.js operations on the server side, as catai is engineered to run locally via Node.js only.
- - If seeking a cloud-based AI deployment solution that does not require local setup, since catai focuses solely on providing local AI capabilities through an easy-to-use API.

## Common questions

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

local-llm-function-calling: Generates function arguments and selects functions to call with local LLMs. catai: Run AI assistant locally with Node.js. See the comparison table for live GitHub stats and shared categories.

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

Choose local-llm-function-calling over catai when local-llm-function-calling is primarily Python; catai is TypeScript; 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 choose catai over local-llm-function-calling?

Choose catai over local-llm-function-calling when catai is primarily TypeScript; local-llm-function-calling is Python; Tags unique to catai: ai-assistant, chatbot, ggmlv3, llama-cpp; Also covers AI Agents; - When aiming to deploy a local AI assistant without reliance on cloud-based services; catai is ideal due to its focus on node-llama-cpp integration, allowing for robust offline capabilities.

### 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

### When should I avoid catai?

- For environments that strictly prohibit or limit Node.js operations on the server side, as catai is engineered to run locally via Node.js only. - If seeking a cloud-based AI deployment solution that does not require local setup, since catai focuses solely on providing local AI capabilities through an easy-to-use API.

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

catai has more GitHub stars (498 vs 435). Stars measure visibility, not whether either tool fits your constraints.

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

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

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

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

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

local-llm-function-calling: Dormant. catai: 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 local-llm-function-calling and catai?

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

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=rizerphe-local-llm-function-calling`](/api/graphcanon/graph?tool=rizerphe-local-llm-function-calling)
- 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/_