Component catalogue

156 records

24 of 156 match

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[ Comparison ]

fork

Model Context Protocol leads with Score 23. Cost is free. The licence is MIT. Agent and composability metrics are insufficient evidence.

Browse filters

Open protocol so tools, data, and prompts plug into many harnesses. The connect slice Leyline ranks, not a marketplace.

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Function

Tool-call

invoke an external action

Tool-call Browse Tool-call

Function

Route

send work to the right tool

Route Browse Route

Function

Auth

prove identity or permission

Auth Browse Auth

Interface

mcp

Model Context Protocol server

Interface

http

HTTP API

Matched model

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Model Context Protocol · 23

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health5.4 pts
  • Agent useNo signal yet
  • Human notes1.2 pts
  • ComposabilityNo signal yet
  • Checklist10.0 pts
  • Evidence quality6.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only

Model APIs for text, vision, speech and embeddings, with compatible developer interfaces.

Function

Generate

produce new text, code, or media

Generate Browse Generate

Function

Reason

plan or chain steps

Reason Browse Reason

Function

Embed

turn content into vectors

Embed Browse Embed

Interface

http

HTTP API

Open spec

Interface

sdk

Language SDK

Open spec

Matched model

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Alibaba Cloud Model Studio · 6

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only

Model APIs and SDKs for reasoning, multimodal understanding, and image and video generation or editing.

Function

Generate

produce new text, code, or media

Generate Browse Generate

Function

Reason

plan or chain steps

Reason Browse Reason

Function

Transform

reshape data

Transform Browse Transform

Interface

http

HTTP API

Open spec

Interface

sdk

Language SDK

Open spec

Matched model

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

BytePlus ModelArk · 6

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
modelintake
TypeSafe Jev

Returns typed judgments and probabilities from software state and narrowly defined questions.

Function

Classify

assign a category

Classify Browse Classify

Function

Evaluate

score quality against a bench

Evaluate Browse Evaluate

Function

Reason

plan or chain steps

Reason Browse Reason

Interface

http

HTTP API

Open spec

Matched model

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

TypeSafe Jev · 7

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality3.7 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
modelintake
OpenAI GPT Image

Image-generation and editing models available through OpenAI developer APIs.

Function

Generate

produce new text, code, or media

Generate Browse Generate

Function

Transform

reshape data

Transform Browse Transform

Interface

http

HTTP API

Open spec

Matched model

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

OpenAI GPT Image · 6

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
modelseed
Laya

Laya = Apache-2.0, non-autoregressive System One decision model family: given a state (text / email / ticket / JSON) and typed questions (choice / score / noul), returns typed answers with probabilities in one forward pass. Trained with RLCD (reinforcement learning against strictly proper scoring rules).

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Matched model

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Laya · 5

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
modelseed
Needle 3

Needle 3 is Cactus Compute’s on-device “automation foundation model”: a laddered / sliceable tiny model (post: 8–29 MB CQ2-bit binary; 25–121M params; depths 2–20 layers from one weight set) built on their Simple Attention Networks, aimed at tool calls, structured extraction, and local text embeddings — not open-ended chat.

Function

Embed

turn content into vectors

Embed Browse Embed

Function

Extract

pull a fact or field out

Extract Browse Extract

Matched model

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Needle 3 · 3

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
appseed
OpenRouter

Unified model and inference router. Listed honestly as an inference gateway — inspiration-adjacent, not Leyline's core.

Function

Route

send work to the right tool

Route Browse Route

Function

Generate

produce new text, code, or media

Generate Browse Generate

Function

Observe

watch a system

Observe Browse Observe

Interface

http

HTTP API

Matched model

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

OpenRouter · 18

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health5.4 pts
  • Agent useNo signal yet
  • Human notes1.2 pts
  • ComposabilityNo signal yet
  • Checklist6.7 pts
  • Evidence quality4.6 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceintake
MCP / AI Gateway

Gateway layer that routes model calls, discovers MCP tools, and applies identity, policy, and spend controls before invocations.

Function

Route

send work to the right tool

Route Browse Route

Function

Auth

prove identity or permission

Auth Browse Auth

Function

Identity

name a person, agent, or org

Identity Browse Identity

Function

Policy

allow, deny, or bound an action

Policy Browse Policy

Function

Tool-call

invoke an external action

Tool-call Browse Tool-call

Interface

mcp

Model Context Protocol server

Interface

http

HTTP API

Matched model

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

MCP / AI Gateway · 12

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notes1.2 pts
  • ComposabilityNo signal yet
  • Checklist6.7 pts
  • Evidence quality4.6 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceintake
Toloka

Human-in-the-loop training data, RL environments, and evaluation for AI agents and LLMs.

Function

Evaluate

score quality against a bench

Evaluate Browse Evaluate

Function

Classify

assign a category

Classify Browse Classify

Function

Generate

produce new text, code, or media

Generate Browse Generate

Function

Observe

watch a system

Observe Browse Observe

Interface

http

HTTP API

Matched model

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Toloka · 12

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notes1.2 pts
  • ComposabilityNo signal yet
  • Checklist6.7 pts
  • Evidence quality4.6 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
appintake
BlockRun

Provides model and service access through documented APIs, SDKs and MCP tools.

Function

Route

send work to the right tool

Route Browse Route

Function

Generate

produce new text, code, or media

Generate Browse Generate

Function

Tool-call

invoke an external action

Tool-call Browse Tool-call

Interface

http

HTTP API

Open spec

Interface

sdk

Language SDK

Open spec

Interface

mcp

Model Context Protocol server

Open spec

Matched model

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

BlockRun · 9

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist6.7 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only

Concentrate is a managed LLM gateway: one API base URL (https://api.concentrate.ai/v1) for hundreds of models across all major providers (OpenAI, Anthropic, Gemini, DeepSeek, etc.). You pick the model and provider; Concentrate runs the request, applies your fallbacks and limits, and surfaces spend/logs.

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Interface

http

HTTP API

Matched model

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Concentrate.ai · 9

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality3.2 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
appseed
OpenRouter

OpenRouter is a unified large language model inference router and model marketplace: one OpenAI-compatible HTTP application programming interface across many underlying inference providers, with automatic fallbacks and cost-aware routing. The marketplace object is models and inference providers (tokens in → tokens out), not installable agent tools ranked by dual human-and-agent reputation.

Function

Route

send work to the right tool

Route Browse Route

Function

Tool-call

invoke an external action

Tool-call Browse Tool-call

Interface

http

HTTP API

Matched model

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

OpenRouter · 9

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality3.2 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
agentseed
Prime Agent

Prime Agent is an MIT-licensed open-source coding and research agent from Prime Intellect, built around a Recursive Language Model (RLM) runtime and a persistent IPython control environment. The model works through programmatic Python: file/shell operations, data transforms, skills, context management, and recursive subagents are all callable from the durable kernel rather than exposed as a large fixed tool palette.

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Interface

a2a

Agent-to-agent protocol

Matched model

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Prime Agent · 9

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health5.4 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality3.2 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceintake
PulseMCP

Directory of MCP servers, clients, use cases, and tools plus an MCP newsletter, with listing ingestion currently paused for process rework.

Function

Retrieve

fetch stored knowledge

Retrieve Browse Retrieve

Function

Index

make retrieval cheap

Index Browse Index

Function

Ingest

bring raw material in

Ingest Browse Ingest

Function

Notify

tell a human or agent

Notify Browse Notify

Matched model

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

PulseMCP · 9

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notes1.2 pts
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality4.6 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
telemetry.dev

Hosted observability for AI/LLM apps. Product line: every model call, tool step, and retrieval in one OpenTelemetry trace, with tokens, cost, latency, and errors. Ingest via TypeScript or Python SDKs, or any OTLP exporter. Cost is computed server-side against 4700+ models.

Function

Ingest

bring raw material in

Ingest Browse Ingest

Function

Observe

watch a system

Observe Browse Observe

Function

Retrieve

fetch stored knowledge

Retrieve Browse Retrieve

Interface

sdk

Language SDK

Matched model

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

telemetry.dev · 9

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality3.2 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
harnessseed
Deep Agents

Deep Agents (langchain-ai/deepagents) is LangChain AI’s batteries-included agent harness: production-ready, extensible, with filesystem, context management, sub-agent delegation, skills, and long-term memory (PyPI summary). README principles: opinionated, extensible, model-agnostic, production-ready on LangGraph + LangSmith.

Function

Memory

keep context across turns

Memory Browse Memory

Function

Summarize

compress meaning

Summarize Browse Summarize

Matched model

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Deep Agents · 8

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health5.4 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only

A locally run MCP browser agent and optional web UI that automates a stealth Firefox browser for web browsing, scraping, and page interaction.

Function

Browser

operate a live page

Browser Browse Browser

Function

Code

write or edit programs

Code Browse Code

Function

Identity

name a person, agent, or org

Identity Browse Identity

Function

Policy

allow, deny, or bound an action

Policy Browse Policy

Interface

mcp

Model Context Protocol server

Matched model

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Invisible Playwright MCP · 6

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only

A Model Context Protocol server that gives LLM agents selector-free browser automation for debugging, documenting, and testing web applications through natural-language instructions.

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Function

Browser

operate a live page

Browser Browse Browser

Function

Code

write or edit programs

Code Browse Code

Function

Generate

produce new text, code, or media

Generate Browse Generate

Interface

mcp

Model Context Protocol server

Matched model

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

kogiQA MCP Web Browser · 6

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
appintake
MiniMax

Developer APIs for language and multimodal generation, including speech, images, video and music.

Function

Generate

produce new text, code, or media

Generate Browse Generate

Function

Reason

plan or chain steps

Reason Browse Reason

Interface

http

HTTP API

Open spec

Interface

sdk

Language SDK

Open spec

Matched model

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

MiniMax · 6

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
Open Notebook

Open Notebook is an open-source implementation of Google NotebookLM-style workflows with more model choice and deployment flexibility. The project positions itself as a private, multi-model, local/self-hostable notebook for ingesting sources, searching them, chatting with grounded context, and generating podcasts from research material.

Function

Deploy

put software into a runtime

Deploy Browse Deploy

Matched model

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Open Notebook · 5

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
QuiverAI

QuiverAI ships foundational models for generating, editing, and animating editable vector/SVG assets (logos, illustrations, diagrams, line work; typography & animations marked coming soon on marketing site). Arrow 2 is the Sep 2026 model line called out as higher quality and faster, in App and API.

Function

Embed

turn content into vectors

Embed Browse Embed

Matched model

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

QuiverAI · 5

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only

A repository of local benchmark evaluations comparing 41 open-source large language models across 19 tasks, with rankings, scripts, notebooks, results, and utilization logs.

Function

Rank

order candidates by trust or fit

Rank Browse Rank

Function

Evaluate

score quality against a bench

Evaluate Browse Evaluate

Function

Generate

produce new text, code, or media

Generate Browse Generate

Function

Reason

plan or chain steps

Reason Browse Reason

Matched model

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

41 Open-Source LLMs Evaluated on 19 Benchmarks · 3

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
harnessintake
Factory Droid

A coding-agent terminal interface for scoped repository changes and reviewable development tasks.

Function

Code

write or edit programs

Code Browse Code

Function

Test

prove behavior

Test Browse Test

Function

Compose

assemble other functions

Compose Browse Compose

Interface

cli

Command-line interface

Open spec

Matched model

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Factory Droid · 3

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only

Evidence

Leyline ranks components. It does not proxy inference or resell tokens.

Human evidence

Observed stars, notes, maintainer trust, and public sources. Missing signals read No signal yet.

Agent evidence

Observed installs, success, resolve wins, and benches. Unobserved usage is never guessed or zeroed.