Skip to content

How LocalAI’s scores are calculated

The full audit trail, recomputed from the verdict data at build time through the same code that produced the leaderboard: verdict × quality × story weight per cell, cells sum to dimension scores, dimensions blend into the PA Score. Every number on the product page is reproducible from this page alone; for why the formula looks like this, see the methodology.

verdict factors: full ×1.0 · partial ×0.6 · disputed ×0.3 · none ×0.0 · n/a excluded from both sides · cell points = weight × quality × factor · cell max = weight × 10

PA Score32/100

Agent-ready 53.4 × 0.30 = 16.02

API quality 0.0 × 0.20 = 0.00

Openness 43.2 × 0.20 = 8.64

Built-in AI 46.7 × 0.15 = 7.00

Automation 0.0 × 0.15 = 0.00

(16.02 + 0.00 + 8.64 + 7.00 + 0.00) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 31.66 ÷ 1.00 = 31.7

Scores are stored to 1 decimal; the product page’s pills round to whole numbers for display. Each dimension below shows the stories, verdicts, and cited evidence behind its number.

Agent-ready53.4/100×0.30 of the PA blend

Outside-in: can YOUR agent reach and drive this product — API, MCP, CLI, headless runs, agent docs.

Point an agent at llms.txt or agent-oriented docsweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://localai.io/llms.txtPROBE llms.txt: HTTP 404 at https://localai.io/llms.txt
  • [probe] https://localai.io/docs/basics/getting_started/.mdPROBE docs-md: HTTP 404 at https://localai.io/docs/basics/getting_started/.md
  • [probe] https://localai.io/openapi.jsonPROBE openapi: all candidate paths 404 (https://localai.io/openapi.json, https://localai.io/swagger.json, https://localai.io/api/openapi.json, https://localai.io/.well-known/openapi.json)

Run the product headlessly / in CI for automationweight 2

2 (weight) × 7 (quality) × 0.6 (partial) = 8.4 of 20 max

  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI exposes an OpenAI-compatible API. You can use it with any OpenAI SDK or client by pointing it to http://localhost:8080.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/local-ai models list # List available models in the gallery
  • [claimed-docs] https://localai.io/docs/advanced/PRELOAD_MODELS (or --preload-models) takes a list in JSON with the same parameter of the API calls of the /models/apply endpoint.
  • [claimed-docs] https://localai.ioEvery feature ships a CPU path first. That path is tested in CI, on the hardware most people already have, and it is not a degraded fallback.
  • [github] https://github.com/mudler/LocalAINo GPU required.

Plug MCP servers into this product so it can use their toolsweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI now supports the Model Context Protocol (MCP), enabling powerful agentic capabilities by connecting AI models to external tools and services.
  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI now supports the **Model Context Protocol (MCP)**, enabling powerful agentic capabilities by connecting AI models to external tools and services.
  • [claimed-docs] https://localai.io/docs/features/mcp/Pass a comma-separated list of server names in `metadata.mcp_servers`
  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI's agents can also attach MCP servers to a single **agent**, independent of the model it runs on.
  • [claimed-docs] https://localai.io/docs/features/mcp/an agent in your own shell. local-ai chat reads your files and runs commands on your machine, behind an approval gate you control.
  • [claimed-docs] https://localai.io/docs/features/`local-ai chat`, an agent in your shell that runs commands behind an approval gate.

Connect an agent via an official MCP serverweight 3

3 (weight) × 7 (quality) × 1.0 (full) = 21.0 of 30 max

  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI now supports the Model Context Protocol (MCP), enabling powerful agentic capabilities by connecting AI models to external tools and services.
  • [claimed-docs] https://localai.io/docs/features/mcp/an agent in your own shell. local-ai chat reads your files and runs commands on your machine, behind an approval gate you control.
  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI now supports the **Model Context Protocol (MCP)**, enabling powerful agentic capabilities by connecting AI models to external tools and services.
  • [claimed-docs] https://localai.io/docs/features/`local-ai chat`, an agent in your shell that runs commands behind an approval gate.
  • [claimed-docs] https://localai.io/docs/features/mcp/Pass a comma-separated list of server names in `metadata.mcp_servers`
  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI's agents can also attach MCP servers to a single **agent**, independent of the model it runs on.

Use an official CLIweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://localai.io/docs/basics/getting_started/local-ai models list # List available models in the gallery
  • [claimed-docs] https://localai.io/docs/features/mcp/an agent in your own shell. local-ai chat reads your files and runs commands on your machine, behind an approval gate you control.
  • [claimed-docs] https://localai.io/docs/features/`local-ai chat`, an agent in your shell that runs commands behind an approval gate.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/local-ai run huggingface://TheBloke/phi-2-GGUF/phi-2.Q8_0.gguf
  • [claimed-docs] https://localai.io/docs/advanced/The `--external-grpc-backends` parameter in the CLI can be used either to specify a local backend (a file) or a remote URL.
  • [claimed-docs] https://localai.io/docs/advanced/PRELOAD_MODELS (or --preload-models) takes a list in JSON with the same parameter of the API calls of the /models/apply endpoint.

Drive the product through a documented public APIweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI exposes an OpenAI-compatible API. You can use it with any OpenAI SDK or client by pointing it to http://localhost:8080.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI exposes an OpenAI-compatible API. You can use it with any OpenAI SDK or client by pointing it to `http://localhost:8080`
  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI also supports the **Anthropic Messages API**, the **Open Responses API**, and more.
  • [claimed-docs] https://localai.io/docs/features/text-generation/LocalAI supports the Anthropic Messages API, which is compatible with Claude clients.
  • [probe] https://localai.io/openapi.jsonPROBE openapi: all candidate paths 404 (https://localai.io/openapi.json, https://localai.io/swagger.json, https://localai.io/api/openapi.json, https://localai.io/.well-known/openapi.json)

Issue scoped/least-privilege API credentials for an agentweight 2

2 (weight) × 3 (quality) × 0.6 (partial) = 3.6 of 20 max

  • [claimed-docs] https://localai.io/docs/basics/getting_started/User authentication: Run with LOCALAI_AUTH=true for multi-user support with admin/user roles, OAuth login, per-user API keys, and usage tracking.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/Run with `LOCALAI_AUTH=true` for multi-user support with admin/user roles, OAuth login, per-user API keys, and usage tracking.

Build against official SDKsweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI exposes an OpenAI-compatible API. You can use it with any OpenAI SDK or client by pointing it to http://localhost:8080.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI exposes an OpenAI-compatible API. You can use it with any OpenAI SDK or client by pointing it to `http://localhost:8080`
  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI also supports the **Anthropic Messages API**, the **Open Responses API**, and more.
  • [probe] https://localai.io/openapi.jsonPROBE openapi: all candidate paths 404 (https://localai.io/openapi.json, https://localai.io/swagger.json, https://localai.io/api/openapi.json, https://localai.io/.well-known/openapi.json)

Subscribe to events via webhooksweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Connect a coding agent to this product as a working backendweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI exposes an OpenAI-compatible API. You can use it with any OpenAI SDK or client by pointing it to http://localhost:8080.
  • [claimed-docs] https://localai.io/docs/features/text-generation/LocalAI supports the Anthropic Messages API, which is compatible with Claude clients.
  • [claimed-docs] https://localai.io/docs/features/openai-functions/No configuration required - the autoparser detects the tool call format for any ggml/gguf model that was trained with tool support.
  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI now supports the Model Context Protocol (MCP), enabling powerful agentic capabilities by connecting AI models to external tools and services.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI also supports the **Anthropic Messages API**, the **Open Responses API**, and more.
  • [claimed-docs] https://localai.io/docs/features/openai-functions/LocalAI supports running the OpenAI functions and tools API across multiple backends.

Agent-ready = 128.2 ÷ 240 × 100 = 53.4

API quality0.0/100×0.20 of the PA blend

The programmable surface once an agent is there — machine-readable spec, interactive docs, sandbox, versioning discipline.

Explore an interactive API reference with runnable examplesweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://localai.io/openapi.jsonPROBE openapi: all candidate paths 404 (https://localai.io/openapi.json, https://localai.io/swagger.json, https://localai.io/api/openapi.json, https://localai.io/.well-known/openapi.json)
  • [probe] https://localai.io/llms.txtPROBE llms.txt: HTTP 404 at https://localai.io/llms.txt
  • [probe] https://localai.io/docs/basics/getting_started/.mdPROBE docs-md: HTTP 404 at https://localai.io/docs/basics/getting_started/.md

Download a machine-readable API spec (OpenAPI or equivalent)weight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://localai.io/llms.txtPROBE llms.txt: HTTP 404 at https://localai.io/llms.txt
  • [probe] https://localai.io/docs/basics/getting_started/.mdPROBE docs-md: HTTP 404 at https://localai.io/docs/basics/getting_started/.md
  • [probe] https://localai.io/openapi.jsonPROBE openapi: all candidate paths 404 (https://localai.io/openapi.json, https://localai.io/swagger.json, https://localai.io/api/openapi.json, https://localai.io/.well-known/openapi.json)

Test against a sandbox environment without touching production dataweight 1

1 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 10 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Rely on versioned APIs with a documented deprecation policyweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://localai.io/openapi.jsonPROBE openapi: all candidate paths 404 (https://localai.io/openapi.json, https://localai.io/swagger.json, https://localai.io/api/openapi.json, https://localai.io/.well-known/openapi.json)

API quality = 0.0 ÷ 70 × 100 = 0.0

Openness43.2/100×0.20 of the PA blend

Can you leave, inspect, or self-host — data export, open source, portability.

Do everything through the API that I can do in the UIweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI exposes an OpenAI-compatible API. You can use it with any OpenAI SDK or client by pointing it to http://localhost:8080.
  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI now supports the Model Context Protocol (MCP), enabling powerful agentic capabilities by connecting AI models to external tools and services.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/Create and manage AI agents with MCP tool support
  • [claimed-docs] https://localai.io/docs/basics/getting_started/User authentication: Run with LOCALAI_AUTH=true for multi-user support with admin/user roles, OAuth login, per-user API keys, and usage tracking.
  • [claimed-docs] https://localai.io/docs/advanced/PRELOAD_MODELS (or --preload-models) takes a list in JSON with the same parameter of the API calls of the /models/apply endpoint.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI comes with a **built-in web interface** for chatting with models, managing installations, configuring AI agents, and more, with no extra tools needed.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/To correct an earlier prompt or response without running the model again, hover over the saved message and select **Edit**.
  • [probe] https://localai.io/openapi.jsonPROBE openapi: all candidate paths 404 (https://localai.io/openapi.json, https://localai.io/swagger.json, https://localai.io/api/openapi.json, https://localai.io/.well-known/openapi.json)

Export all of my data in open formats and leaveweight 3

3 (weight) × 5 (quality) × 0.6 (partial) = 9.0 of 30 max

  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI exposes an OpenAI-compatible API. You can use it with any OpenAI SDK or client by pointing it to http://localhost:8080.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI also supports the **Anthropic Messages API**, the **Open Responses API**, and more.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI comes with a **built-in web interface** for chatting with models, managing installations, configuring AI agents, and more, with no extra tools needed.
  • [claimed-docs] https://localai.ioEvery feature ships a CPU path first. That path is tested in CI, on the hardware most people already have, and it is not a degraded fallback.

Read the product's source under an open licenseweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Self-host the core productweight 3

3 (weight) × 9 (quality) × 1.0 (full) = 27.0 of 30 max

  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI exposes an OpenAI-compatible API. You can use it with any OpenAI SDK or client by pointing it to http://localhost:8080.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/Install models from the built-in gallery (Discover page)
  • [claimed-docs] https://localai.io/docs/basics/getting_started/Distributed nodes: Add GPU worker nodes that self-register with a frontend coordinator
  • [claimed-docs] https://localai.io/docs/basics/getting_started/User authentication: Run with LOCALAI_AUTH=true for multi-user support with admin/user roles, OAuth login, per-user API keys, and usage tracking.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI comes with a **built-in web interface** for chatting with models, managing installations, configuring AI agents, and more, with no extra tools needed.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/local-ai run huggingface://TheBloke/phi-2-GGUF/phi-2.Q8_0.gguf
  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI automatically detects your system's GPU capabilities (NVIDIA, AMD, Intel) and downloads the appropriate backend.
  • [claimed-docs] https://localai.ioEvery feature ships a CPU path first. That path is tested in CI, on the hardware most people already have, and it is not a degraded fallback.
  • [github] https://github.com/mudler/LocalAINo GPU required.

Openness = 43.2 ÷ 100 × 100 = 43.2

Built-in AI46.7/100×0.15 of the PA blend

Inside-out: how agentic the product itself is for its users — built-in assistants, autonomous features.

Get AI-generated insights and suggestions from my data inside the productweight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI now supports the Model Context Protocol (MCP), enabling powerful agentic capabilities by connecting AI models to external tools and services.
  • [claimed-docs] https://localai.io/docs/features/mcp/an agent in your own shell. local-ai chat reads your files and runs commands on your machine, behind an approval gate you control.
  • [claimed-docs] https://localai.io/docs/features/`local-ai chat`, an agent in your shell that runs commands behind an approval gate.
  • [claimed-docs] https://localai.io/docs/features/mcp/Pass a comma-separated list of server names in `metadata.mcp_servers`
  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI's agents can also attach MCP servers to a single **agent**, independent of the model it runs on.

Set up automations that run autonomously in the backgroundweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI now supports the Model Context Protocol (MCP), enabling powerful agentic capabilities by connecting AI models to external tools and services.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/Create and manage AI agents with MCP tool support
  • [claimed-docs] https://localai.io/docs/features/mcp/an agent in your own shell. local-ai chat reads your files and runs commands on your machine, behind an approval gate you control.
  • [claimed-docs] https://localai.io/docs/features/`local-ai chat`, an agent in your shell that runs commands behind an approval gate.
  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI's agents can also attach MCP servers to a single **agent**, independent of the model it runs on.

Delegate tasks to a built-in AI assistant inside the productweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

  • [claimed-docs] https://localai.io/docs/features/mcp/an agent in your own shell. local-ai chat reads your files and runs commands on your machine, behind an approval gate you control.
  • [claimed-docs] https://localai.io/docs/features/`local-ai chat`, an agent in your shell that runs commands behind an approval gate.
  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI now supports the Model Context Protocol (MCP), enabling powerful agentic capabilities by connecting AI models to external tools and services.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/Create and manage AI agents with MCP tool support
  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI comes with a **built-in web interface** for chatting with models, managing installations, configuring AI agents, and more, with no extra tools needed.
  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI's agents can also attach MCP servers to a single **agent**, independent of the model it runs on.

Operate the product with natural-language commandsweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://localai.io/docs/features/mcp/an agent in your own shell. local-ai chat reads your files and runs commands on your machine, behind an approval gate you control.
  • [claimed-docs] https://localai.io/docs/features/`local-ai chat`, an agent in your shell that runs commands behind an approval gate.
  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI now supports the Model Context Protocol (MCP), enabling powerful agentic capabilities by connecting AI models to external tools and services.
  • [claimed-docs] https://localai.io/docs/basics/getting_started/LocalAI comes with a **built-in web interface** for chatting with models, managing installations, configuring AI agents, and more, with no extra tools needed.
  • [claimed-docs] https://localai.io/docs/features/openai-functions/No configuration required - the autoparser detects the tool call format for any ggml/gguf model that was trained with tool support.
  • [claimed-docs] https://localai.io/docs/features/mcp/LocalAI's agents can also attach MCP servers to a single **agent**, independent of the model it runs on.

Built-in AI = 42.0 ÷ 90 × 100 = 46.7

Automation0.0/100×0.15 of the PA blend

Depth of automation primitives — rules, scheduling, bulk operations, webhooks.

Perform bulk operations across many items at onceweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Define rules that trigger actions automatically on eventsweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Schedule recurring jobs or workflowsweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Version, review, and roll back my automationsweight 1

1 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 10 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Automation = 0.0 ÷ 80 × 100 = 0.0