Asimov vs is.team: Features, Pricing & Which Is Better (2026)

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

Asimov

ASIMOV Platform

Freemium

Foundational search and module platform enabling AI agents to discover, compose, and manage neurosymbolic capabilities.

Foundational Search: A dedicated search layer that indexes modules, capabilities, and artifacts so AI agents can discover relevant components at runtime or during planning.
Polyglot SDKs: Language SDK support (notably Rust SDKs) to build, register, and integrate neurosymbolic modules into agent pipelines and services.
Module CLI Management: Command-line tools for module lifecycle tasks—publishing, versioning, dependency resolution, and module snapshots for reproducible deployments.
Snapshot Tooling: Snapshot CLI for capturing module states and dependencies to enable reproducible rollbacks and audited deployments of agent stacks.
Installer Integration: Packaging formulas and installers (Homebrew, Scoop) to simplify local developer setup and runtime installation on developer machines and CI.
Module Ecosystem & Specs: A module specification and repository model that standardizes how cognitive, symbolic, and neural components are described and consumed.
Trust & Verification Primitives: Built-in emphasis on versioning, provenance, and auditable snapshots to improve reliability and governance of neurosymbolic agents.
Foundational search for agent knowledge
Indexing and retrieval for agent workflows
API access for integrations
Documentation and terms of service referencing subscriptions/billing
Foundational search functionality targeted at AI agents

Agent Capability Discovery: Allow autonomous agents to query a searchable registry to locate vetted neurosymbolic modules (e.g., planners, perception connectors) during task planning.
Building Neurosymbolic Pipelines: Developers assemble pipelines combining neural components and symbolic logic using SDKs and module specs to create explainable agent behaviors.
Module Lifecycle Management: Teams publish, version, and snapshot modules via the CLI to ensure reproducible experiment runs and safe rollouts to production agents.
Edge and Developer Deployment: Use Homebrew/Scoop installers or packaged snapshots to rapidly provision developer machines or edge nodes with specific module sets.
Auditability & Governance: Capture module snapshots and provenance for compliance, postmortem analysis, and to enable trusted rollbacks after model or module updates.
Integration with Rust Workflows: Rust developers build high-performance modules using the ASIMOV Rust SDK and manage them via the platform CLIs.
Provide retrieval/knowledge access to autonomous agents
Index and surface documents for agent decision-making
Integrate search into multi-agent systems and pipelines
Provide retrieval/search primitives for autonomous agents to obtain context and knowledge during decision-making

IS.TEAM LLC

Freemium

An infinite-canvas project board where AI coding agents connect over MCP, subscribe to cards and reply in chat alongside the team.

MCP Agent Boards: Claude, Cursor and ChatGPT connect over MCP, subscribe to a board and reply in card chat while they work, so agents behave like teammates rather than external tools.
Infinite Canvas Workspace: Tasks, notes and planning share one zoomable surface, replacing separate tracker, whiteboard and chat tools.
AI Workflow Planner: Generates and sequences the work for a board so a project can be broken down without manual ticket writing.
AI Card Assistant: A per-card helper that drafts, summarizes and answers questions inside the context of a single task.
Meeting Note Taker: Captures meeting notes using one-time workspace credits and extracts actionable tasks straight onto the board.
Per-Workspace Pricing: A flat workspace fee covering up to 15 seats on the Pro plan, so adding an engineer never triggers a surprise invoice.
Integrations and Webhooks: HMAC-signed webhooks plus Zapier and Make connections, with API access and LLM API tokens on higher tiers.
Real-Time Collaboration: Live multi-user editing with voice chat, screen sharing, sprints, time tracking and a timeline view.

Agent-Assisted Development: Letting a coding agent pick up a card, do the work and report progress in the same thread the team is reading.
Tool Consolidation: Replacing a Jira, Slack and Miro combination with a single canvas for engineering leads tired of context-switching.
Small Team Planning: Running sprints, timelines and time tracking for a startup team on a flat monthly workspace fee.
Meeting-to-Backlog Workflow: Turning recorded meeting notes into extracted, assigned board tasks without manual transcription.
Automated Intake: Collecting work through embeddable forms that create cards automatically on the right board.
Cross-Tool Automation: Wiring board events to Zapier or Make through signed webhooks so downstream systems stay in sync.