Component catalogue

156 records

14 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
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
appintake
Casdoor

An open-source, self-hosted identity and access management platform and authentication server with a web console, supporting SSO, multiple identity protocols, policy-based authorization, APIs, SDKs, and MCP.

Function

Auth

prove identity or permission

Auth Browse Auth

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

Identity

name a person, agent, or org

Identity Browse Identity

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

Casdoor · 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
runtimeintake
cognee

Open-source memory system for agents and teams. It connects company sources such as Slack, GitHub, and Linear so agents can recall shared context through one memory API, an SDK, or an MCP server, with an optional Cognee Cloud for managed scale.

Function

Memory

keep context across turns

Memory Browse Memory

Function

Code

write or edit programs

Code Browse Code

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Function

Embed

turn content into vectors

Embed Browse Embed

Function

Retrieve

fetch stored knowledge

Retrieve Browse Retrieve

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

cognee · 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
harnessseed
fx

fx is a Vercel Labs coding-agent harness and CLI written in Zig. Official copy positions it as a tiny, open, native agent originally used internally, now open sourced for research and embedding in larger systems. The durable object is the product at fx.sh / vercel-labs/fx, not the tweet.

Function

Embed

turn content into vectors

Embed Browse Embed

Interface

cli

Command-line interface

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

fx · 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
mcpintake
memini

Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Function

Code

write or edit programs

Code Browse Code

Function

Compose

assemble other functions

Compose Browse Compose

Function

Deploy

put software into a runtime

Deploy Browse Deploy

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

memini · 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

turbopuffer is a managed, commercial search engine from turbopuffer Inc. (Canadian, founded 2023). It is object-storage-first: Amazon S3 / Google Cloud Storage / Azure Blob is the source of truth; NVMe and memory are caches. It does approximate vector search (SPFresh), BM25 full-text, filters, and hybrid fusion.

Function

Memory

keep context across turns

Memory Browse Memory

Function

Embed

turn content into vectors

Embed Browse Embed

Function

Store

persist state

Store Browse Store

Interface

sdk

Language SDK

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

turbopuffer · 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

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

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

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
appintake
Octen

Search infrastructure for web, image and video retrieval, with related embedding and research capabilities.

Function

Retrieve

fetch stored knowledge

Retrieve Browse Retrieve

Function

Embed

turn content into vectors

Embed Browse Embed

Interface

http

HTTP API

Open spec

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Octen · 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
appseed
pen.dev

Pencil / pen.dev (site banner: “pencil.dev is now pen.dev”) is an AI-native infinite design canvas positioned as “Dream on canvas. Land in code.” Backed by a16z Speedrun (site badge). Integrates with Cursor, VS Code, Claude Code, OpenAI Codex; emphasizes bi-directional MCP vector canvas, open file format, Figma bring-over, brand kits, and design-as-code.

Function

Code

write or edit programs

Code Browse Code

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Function

Diagram

map a composition

Diagram Browse Diagram

Function

Embed

turn content into vectors

Embed Browse Embed

Function

Render

draw a visual surface

Render Browse Render

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

pen.dev · 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

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
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

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

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.