Elva vs Minimi: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Elva and Minimi — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Elva

Theneo

Freemium

Reads your repositories to discover every API, scores and governs them, then exposes them to developers and AI agents via hosted MCP servers.

Spec-Free API Discovery: Elva scans repository code directly to find endpoints and generates OpenAPI 3.1 as output, so no existing spec is needed to start.
Endpoint Scoring: Every collection is graded on design, developer experience, AI readiness, security and performance, with the weakest collection surfaced first.
AI Fix Pass: A one-click agent writes missing descriptions from code, types response schemas and documents auth, then rescores the collection.
API Contracts: Per-audience contracts pin the exact endpoints and fields a partner, internal team, public developer or MCP client receives, excluding PII and internal fields.
Breaking Change Enforcement: Each commit is diffed against published contracts, showing the schema diff, affected consumers and tools, and blocking publish by policy.
Hosted MCP Servers: Contracts generate MCP servers hosted behind Elva's gateway with OAuth2, scoped keys, per-tool authorization and exportable call logs.
MCP Playground and Agent Feedback: Test the server with a live model, then read the complaints agents file about confusing or failing tools, scored back into the catalog.
Multi-Target Publishing: One approved contract ships as OpenAPI spec, Theneo docs, MCP server, Postman collection and a typed TypeScript SDK in sync.

API Inventory Audit: Discover undocumented or forgotten endpoints across a large codebase and get a ranked list of what to fix first.
Agent Enablement: Expose an internal service to Claude, Cursor or ChatGPT as a governed MCP server instead of hand-writing tool wrappers.
Partner Integration Safety: Publish a restricted contract to an external partner and have Elva block commits that would break their integration.
PII Scoping: Keep customer emails and internal ops annotations out of a public or agent-facing surface while the same endpoints serve them internally.
Zombie Endpoint Retirement: Prove no active consumer references an endpoint before deleting it, using contract and call-log evidence.
Enterprise Security Review: Satisfy SOC 2, ISO 27001 and GDPR questions and wire agent access into an existing SSO and SCIM identity provider.
Documentation Drift Control: Keep docs, SDKs and Postman collections regenerated from code on every merge instead of maintained by hand.

Shram

Paid

Minimi is an ambient memory Mac app that quietly captures tabs, documents, calls, and Slack threads to provide context for Claude.

Ambient Memory Capture: Continuously records user activity on macOS — including open browser tabs, documents, calls, and Slack threads — to create a persistent context layer.
Claude Context Integration: Supplies collected context to Claude to improve response relevance and maintain continuity across conversations.
Background Mac App: Runs quietly on the Mac, minimizing user friction while maintaining an ongoing record of interactions across apps.
Meeting Notetaker Support: Enables creation of live artifacts such as Mini-scribe, a Granola-style AI meeting notetaker that operates entirely on Minimi memory.
Inbox for Incomplete Conversations: Acts as an AI inbox that surfaces and preserves incomplete or ongoing conversations for follow-up and continuity.
Context-First Responses: Ensures every Claude response can start with rich, user-specific context gathered from recent activity.
Continuous background capture of user activity (browser tabs, documents, calls, Slack threads)
Centralized ambient memory to provide context to Claude conversations
Inbox-style management for incomplete or ongoing conversations
Enables context-rich downstream tools (e.g., meeting notetakers like "Mini-scribe")
Quiet/background operation aimed at minimizing user friction

Enhancing Claude chat quality by pre-loading recent tabs, documents, and messages so answers reflect the user's current context and work.
Automated meeting notetaking: running a Mini-scribe artifact that uses Minimi memory to generate meeting notes and action items without manual setup.
Managing an inbox of incomplete or pending conversations, enabling easier follow-up and continuity across asynchronous threads.
Research and writing assistance: providing the assistant with the user's active documents and tabs so drafting and summarization use accurate source context.
Cross-app context retrieval: surfacing recent Slack discussions, call notes, and opened documents to inform decisions and reduce repetitive explanations.
Provide persistent context to Claude for better, context-aware assistant responses
Automatically capture meeting context to power AI meeting notes and summaries
Aggregate fragmented conversation threads (email, Slack, docs) into a unified inbox of incomplete tasks
Recall past interactions and documents when composing responses or continuing conversations
Power custom Claude-based agents that rely on personal desktop context