tokens&
BrowseFor enterprises
Submit an offer
tokens&

Find tools, check provider offers, save a build plan, and share your work when you’re ready.

For buildersFor enterprises

For builders

  • Product launches
  • Builder projects
  • Startup credits and perks
  • Agent Skills
  • Published agents
  • API and agent docs
  • Publish a project

For enterprises

  • Start free company workspace
  • Submit a tool, product, or perk

Community

  • Community
  • Newsletter
  • Events
Xin

© 2026 tokensand, LLC. All rights reserved.

  • Terms
  • Privacy
  • Security
  • Data Processing
  • Status
  1. Home
  2. Tools
  3. RAG Frameworks
  4. Kit for AI
Kit for AI logo

Kit for AI

RAG Frameworks · Freemium

Persistent memory, document conversion, retrieval, and structured extraction for AI agents through REST and MCP interfaces.

Visit websiteDocs

Related tools

Explore products with related capabilities. Check their details for your use case.

Browse the category
Tavily logo
Tavily

RAG Frameworks· tavily.com

Freemium

Search and extraction API for AI agents that need live web context, retrieval, and structured research inputs.

Evaluate for your team
Is this your company?Verify ownership · Add products · See activity
OverviewProduct evaluationResources

Product evaluation

Review Kit for AI for your team’s requirements before a technical pilot.

Commercial model

Freemium

View vendor website

Listed pricing category. Confirm current rates, limits and enterprise contract terms with the vendor.

Implementation

API listed

Documentation

Validate integration, deployment and operational requirements in your own environment.

Enterprise review

Security, data handling, support and contract terms require vendor confirmation. Linked sources do not establish certification or approval.

Resources

Documentation and setup for builders and coding agents.

Kit for AI website and API docsProduct Hunt launch
Setup & agents

Quickstart

Preparing Kit for AI docs pack
Streaming

The product profile is ready. Official docs, README snippets, and the AI paste pack are loading in the background.

Follow, compare & product details

Community support for Kit for AI. Votes do not verify product usage.

Add projectEmbed badgeFor companies
1,426
189
API available
AnySearch logo
AnySearch

RAG Frameworks· anysearch.com

Freemium

Real-time structured search API and agent skill for web, code, academic, and multimodal retrieval.

6,797
394
Open source
Cap'n Hook logo
Cap'n Hook

RAG Frameworks· github.com

Open source

Persistent, invalidation-aware memory for coding agents that recalls codebase discoveries and removes stale context when files change.

97
1
Open source
claude-mem logo
claude-mem

RAG Frameworks· github.com

Open source

Open-source persistent memory layer that captures, compresses, and retrieves coding-agent session context across Claude Code, Codex, Gemini, OpenCode, and other agents.

108,027
9,479
Open source
Start building with Kit for AI

Inferred — verify against official docs

Copy the setup, example and source links for your coding agent.

Preview pack
# Building with Kit for AI

Persistent memory, document conversion, retrieval, and structured extraction for AI agents through REST and MCP interfaces.

**Category:** RAG Frameworks
**Directory listing:** https://tokensand.com/tools/rag-frameworks/kit-for-ai
**Detected stack:** unknown
**Snippets derived from real docs:** no (fallback)

## Goal

I'm building a project with Kit for AI. Help me ship end-to-end in the smallest number of steps — hackathon speed, production-safe defaults. If any step below is ambiguous or the docs snippet is incomplete, ask me what I'm trying to build before writing code.

### Install
(No canonical install command detected — see docs links below.)

### First call
(No verified example detected — consult the official docs links before writing one.)

## Docs links
- [Official Docs](https://kitforai.com/)
- [Website](https://kitforai.com/)


## Your task
1. Read the install and first-call blocks above. Write a minimal runnable starter in the detected stack (unknown).
2. Call out any secrets I'll need (API keys, env vars) and how to get them.
3. Suggest one "next step" that would make this project demo-worthy in 10 minutes.
4. Verify current official docs be
…
Docs:Official DocsWebsite