Leyline Sorcery

Component catalogue

156 records
AllRisingIn demandScore 70+MCPAPI

7 of 156 match

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kitseed
LlamaIndex

Data framework for retrieval and agents. Memory and index slices, not a whole 'RAG product' box.

Function

Retrieve

fetch stored knowledge

Retrieve Browse Retrieve

Function

Index

make retrieval cheap

Index Browse Index

Function

Embed

turn content into vectors

Embed Browse Embed

Function

Ingest

bring raw material in

Ingest Browse Ingest

Function

Compose

assemble other functions

Compose Browse Compose

Interface

mcp

Model Context Protocol server

Interface

http

HTTP API

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

LlamaIndex · 18

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
  • Checklist10.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only

## Here are 48 public repositories matching this topic...

Function

Code

write or edit programs

Code Browse Code

Function

Index

make retrieval cheap

Index Browse Index

Function

Ingest

bring raw material in

Ingest Browse Ingest

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Function

Memory

keep context across turns

Memory Browse Memory

Interface

mcp

Model Context Protocol server

Interface

http

HTTP API

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Build software better, together · 13

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
  • Checklist10.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
appseed
PageIndex

PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.

Function

Index

make retrieval cheap

Index Browse Index

Function

Reason

plan or chain steps

Reason Browse Reason

Function

Embed

turn content into vectors

Embed Browse Embed

Function

Memory

keep context across turns

Memory Browse Memory

Function

Retrieve

fetch stored knowledge

Retrieve Browse Retrieve

Interface

mcp

Model Context Protocol server

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

PageIndex · 12

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
  • Checklist3.3 pts
  • Evidence quality3.2 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
evalintake
awesome

139 lines (106 loc) · 17.5 KB

Function

Memory

keep context across turns

Memory Browse Memory

Function

Code

write or edit programs

Code Browse Code

Function

Evaluate

score quality against a bench

Evaluate Browse Evaluate

Function

Index

make retrieval cheap

Index Browse Index

Function

Policy

allow, deny, or bound an action

Policy Browse Policy

Interface

mcp

Model Context Protocol server

Interface

http

HTTP API

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

awesome · 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
mcpintake
Self

Self-Hosted AIEnterprise Search18 min readPublished May 22, 2026

Function

Index

make retrieval cheap

Index Browse Index

Function

Code

write or edit programs

Code Browse Code

Function

Compose

assemble other functions

Compose Browse Compose

Function

Embed

turn content into vectors

Embed Browse Embed

Function

Rank

order candidates by trust or fit

Rank Browse Rank

Interface

mcp

Model Context Protocol server

Interface

http

HTTP API

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Self · 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

Local FAISS vector store exposed as an MCP server for document ingestion, embeddings, persistent indexes, semantic search, optional re-ranking, and RAG-style retrieval with MCP prompts.

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Function

Memory

keep context across turns

Memory Browse Memory

Function

Code

write or edit programs

Code Browse Code

Function

Embed

turn content into vectors

Embed Browse Embed

Function

Extract

pull a fact or field out

Extract Browse Extract

Interface

mcp

Model Context Protocol server

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Local FAISS MCP Server · 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

An MCP server using Playwright to let AI models visually analyze, automate, test, and debug web interfaces.

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Function

Browser

operate a live page

Browser Browse Browser

Function

Crawl

walk the public web

Crawl Browse Crawl

Function

Extract

pull a fact or field out

Extract Browse Extract

Function

Index

make retrieval cheap

Index Browse Index

Interface

mcp

Model Context Protocol server

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

VUDA (Visual UI Debug Agent) · 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

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.