Agent Passport vs Kit For AI

Agent Passport and Kit For AI are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Agent Passport

Agent Passport is an open-source authorization layer that sits between your agents and the actions they take. You issue a scoped passport — specific permissions, a spend cap, a time window — then every action checks against it before executing. Denied calls are logged alongside allowed ones, so you have a record either way. Delegation chains shrink permissions as they pass down to sub-agents; a child passport cannot exceed what the parent granted. Revocation cascades instantly across the whole chain, so you're not hunting down API keys across six services.

Kit For AI

The core workflow is a single API endpoint: drop in a file, URL, YouTube link, or raw text; get back chunked, embedded, searchable Markdown in a knowledge base your agent queries directly over REST or MCP. The vendor states hybrid retrieval — vector embeddings plus full-text search with reranking — which means semantic queries don't miss exact codes or proper nouns the way pure vector search does. Memory persistence uses three native MCP tools (remember, recall, search) your agent calls mid-conversation, so user preferences and prior decisions survive session boundaries. The ceiling appears with complex multi-project topologies: the docs describe isolated spaces but give precious little guidance on permission boundaries between them, which teams discover when a second project needs to share a subset of documents without full knowledge base access. Self-hosting is not an option, so regulated-data environments hit a wall before the first prototype ships.

Attribute	Agent Passport	Kit For AI
Pricing	Free	Paid
Free trial	No	No
Open source	Yes	No
Has API	Yes	Yes
Self-hosted option	Yes	No
Platforms	Node.js, self-hosted	Web, API, MCP
Pros	Scoped permissions per agent per task, so a booking bot that needs calendar access cannot also charge a payment method — even if the underlying account credentials would allow it. Server-side spend tracking with hard caps, which means agents cannot silently drain API budgets between monitoring checks — the deny fires at the limit, not after the bill arrives. Instant cascade revocation across delegation chains, so cutting off a parent passport stops all child agents immediately without rotating keys across every downstream integration. Every authorize() call is logged whether allowed or denied, so when an auditor asks what your agent attempted at 14:23:08, you have a signed record — not a gap. Purpose-built packages for LangChain, CrewAI, Express, Fastify, and MCP, so wrapping existing agent tools does not require rewriting call patterns from scratch.	Hybrid retrieval combining vector embeddings and full-text search with reranking, so an agent querying product codes or proper nouns gets exact matches the pure vector path would bury — without you wiring together a separate BM25 index. Native MCP tool exposure for remember, recall, and search, which means agent memory persists across sessions without a custom middleware layer you own and debug. Ingest accepts PDFs, Office formats, CSV, HTML, OCR images, and YouTube transcripts in one pipeline, so documents trapped in formats your model cannot read stop being a gap in the knowledge base. Scheduled URL refresh keeps web-sourced documents current automatically, avoiding the stale-retrieval failure that silently degrades answer quality when a source page changes. Provider-agnostic design confirmed for OpenAI, Claude, Gemini, Meta, Mistral, and others, so switching the underlying model is a config change rather than a retrieval stack rebuild.
Cons	The audit store is SQLite. A single-file database works for a single server and moderate throughput — teams running multiple agent instances or high-frequency authorize() calls will hit write contention and need to either replace the persistence layer or front it with a queue, at which point they are maintaining infrastructure the tool does not provide. There is no managed cloud option; every component is self-hosted. Teams that need a SOC 2-audited, access-controlled audit log with role-based visibility into the dashboard will build that controls layer themselves — and teams whose security policy prohibits self-managed audit storage will move to a vendor that offers it. Delegation only constrains permissions downward — it does not add them. If your agent graph needs a sub-agent to acquire permissions the parent was not issued, you reissue from the top, which means any workflow that dynamically expands scope mid-run requires a round-trip to the issuing authority rather than a local escalation path.	No self-hosted deployment exists — every document processed travels through Kit for AI's infrastructure. Teams in healthcare, finance, or any regulated environment with data-residency requirements hit this wall before completing a proof of concept and move to a self-hosted alternative such as a local Chroma or Weaviate stack with a custom ingestion layer. Cross-project document sharing and permission granularity are not described in the vendor's public documentation. A team managing multiple projects where different roles need access to overlapping document subsets has to work around this by duplicating documents across knowledge bases — which breaks deduplication logic and doubles storage and embedding costs. Batch ingest is capped at 25 items per call per the vendor page, which means bulk onboarding of a large document library requires client-side batching and retry logic — overhead that a purpose-built data pipeline tool handles natively.

Bottom line

Agent Passport is free while Kit For AI is paid; Agent Passport is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Agent Passport and Kit For AI?

Agent Passport is Free and open source, while Kit For AI is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Agent Passport better than Kit For AI?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.