Epismo OS
Freemium
Teams using multiple AI tools on the same tasks
2ools
Freemium
You switch from Claude to Cursor mid-project and spend the next twenty minutes re-explaining what you already decided — the goals, the constraints, the rejected paths. 2ools exists to make that conversation unnecessary.
$24/mo · Free tier: 10 projects, 500 MB, 10 submissions per rolling 24 hours, one active server build
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Summary
2ools acts as a persistent project layer that sits between you and whatever AI client you're using. Via MCP, a connected AI client can pull the current task, last decision, and checkpoint, then return its result with attached evidence — changed files, test outputs, the actual proof — so you're not taking the AI's word for it. You review before anything advances. The version history keeps every direction you explored, so a discarded approach from last Tuesday isn't gone, just parked. The ceiling appears early: ten projects and ten submissions per 24-hour window on the free tier, and no self-hosted option means your project data lives on their servers.
Bottom line: 2ools solves the context-collapse problem for small teams juggling two or three AI tools on a single project — but if you're running more than ten parallel projects or need data residency control, you'll be back at the architecture drawing board.
Pricing Plans
Subscription- Price
- $24/mo
- Free Tier
- 10 projects, 500 MB, 10 submissions per rolling 24 hours, one active server build
Free
Free
Core MCP loop, 10 projects, 500 MB, 10 submissions per rolling 24 hours, one active server build
- BYO AI
- 10 projects
- 500 MB storage
Pro
$24per month
More capacity, BYO or Hosted AI
- BYO AI at $24/mo
- Hosted Pro $35/mo with $10/mo inference
Team
$50per month
Shared administration and collaboration
- $25/seat/month
- 2-seat minimum
View full pricing on 2ools.ai →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
Before you choose 2ools
More options in Workflow Builders. Compare pricing, platforms, and features side by side.
Agent X
Paid
E-commerce and retail businesses
Pros
- MCP-based context handoff means switching from one AI client to another mid-project doesn't require re-explaining goals, prior decisions, or rejected directions — the receiving client reads the project record directly.
- Checkpoint-and-proof workflow attaches changed files and test results to each completed task, so 'it's done' from the AI comes with verifiable evidence rather than a confident message you have to trust.
- Non-destructive versioning saves each new direction as a branch rather than an overwrite, which means a discarded design path from an earlier session stays inspectable and resumable instead of being buried in chat history.
- Approval gates at each step keep you in the loop before work advances, so a misread requirement doesn't propagate silently through five subsequent tasks before you catch it.
Cons
- The free tier caps submissions at ten per rolling 24-hour window — on a focused build day with multiple AI passes, that ceiling arrives before the afternoon, and the team either waits or upgrades mid-sprint.
- No self-hosted option and no API means teams operating under data residency requirements or building internal tooling on top of the platform have no path forward; they move to an open-source orchestration layer like LangGraph or a self-hostable alternative instead.
- The MCP integration requires a supported client — teams not already using Claude, ChatGPT, Cursor, or another MCP-compatible tool get no benefit from the context-handoff architecture, since the connection point doesn't exist.
- With no agentic execution layer, 2ools tracks and coordinates but does not run anything itself — teams expecting a tool that also executes the work find they are maintaining 2ools as a record-keeping layer on top of however many AI clients they were already managing.
About
- API Available
- No
- Self-Hosted
- No
- Last Updated
- August 16, 2026
Best For
Who it's for
- Teams using multiple AI coding or design tools
- Projects requiring versioned plans and proof of changes
- Users who need to resume work from saved checkpoints
What it does well
- Maintaining context when switching between AI clients mid-project
- Reviewing evidence and checkpoints before approving next steps
- Preserving multiple design directions without losing prior work
Integrations
Frequently Asked Questions
- Is 2ools free?
- 2ools offers a free option alongside paid upgrades. Pricing: $24/mo. Check the current allowances and terms before choosing a plan.
You switch from Claude to Cursor mid-project and spend the next twenty minutes re-explaining what you already decided — the goals, the constraints, the rejected paths. 2ools acts as a persistent project layer that sits between you and whatever AI client you’re using.
How it works
Via MCP, a connected AI client can pull the current task, last decision, and checkpoint, then return its result with attached evidence — changed files, test outputs, the actual proof. You review before anything advances. The version history keeps every direction you explored, so a discarded approach from last Tuesday isn’t gone, just parked.
Pricing and limits
The vendor states a free tier allows ten projects and ten submissions per rolling 24-hour window, with 500 MB storage and one active server build. Pro starts at $24 per month on a subscription basis. No self-hosted option or API is offered.
Integrations and limits
Supported integrations include Claude, ChatGPT, and other MCP clients. The ceiling appears early on the free tier, and teams needing data residency controls or custom builds have no path forward on the platform.
Who it is for / who should skip it
Best for teams using multiple AI coding or design tools, projects requiring versioned plans and proof of changes, and users who need to resume work from saved checkpoints. Skip it if your team already hits the free-tier submission limit on focused days or requires self-hosting and an open API.
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