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.txt“PROBE llms.txt: HTTP 404 at https://localai.io/llms.txt”
- [probe] https://localai.io/docs/basics/getting_started/.md“PROBE docs-md: HTTP 404 at https://localai.io/docs/basics/getting_started/.md”
- [probe] https://localai.io/openapi.json“PROBE 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.io“Every 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/LocalAI“No 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.json“PROBE 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.json“PROBE 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.json“PROBE 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.txt“PROBE llms.txt: HTTP 404 at https://localai.io/llms.txt”
- [probe] https://localai.io/docs/basics/getting_started/.md“PROBE 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.txt“PROBE llms.txt: HTTP 404 at https://localai.io/llms.txt”
- [probe] https://localai.io/docs/basics/getting_started/.md“PROBE docs-md: HTTP 404 at https://localai.io/docs/basics/getting_started/.md”
- [probe] https://localai.io/openapi.json“PROBE 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.json“PROBE 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.json“PROBE 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.io“Every 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.io“Every 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/LocalAI“No 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