Asimov vs Relaticle: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Asimov and Relaticle — 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

Freemium

Open-source, self-hosted CRM with built-in AI chat and a 37-tool MCP server so external agents can read and update customer data.

Built-in AI Chat: Ask Rela anything about your CRM, @-mention records to scope a question, approve destructive actions, and undo with one click; supports voice input and searchable history.
37-Tool MCP Server: Connect Claude, ChatGPT, Gemini, or any custom MCP client for full CRUD over contacts, companies, deals, tasks, and notes, plus pipeline analysis.
Customizable Data Model: 22 field types including entity relationships, conditional visibility, and per-field encryption so the schema matches how your team actually sells.
Sales Pipeline Management: Custom opportunity stages, lifecycle tracking, and win/loss analysis across companies and contacts.
Task and Note Tracking: Create, assign, and link tasks and notes to any record; ask the chat to draft follow-ups or roll up what's due.
Team Collaboration: Multi-workspace support with role-based permissions and five-layer authorization.
Import and Export: CSV migration from any CRM with column mapping, validation, and error handling, plus export at any time.
Self-Hosting: Deploy on your own server with the published Docker Compose file under AGPL-3.0, with unlimited users and records.

A small sales team wants a CRM their Claude or ChatGPT agents can safely read and update without building a custom integration.
A privacy-conscious company needs customer data to stay on infrastructure it controls rather than in a third-party SaaS.
A founder migrating off HubSpot or Attio wants an open-source alternative with no per-seat pricing.
An operations lead automates pipeline hygiene — logging notes, rescheduling tasks, updating deal stages — through an agent with approval gates.
A developer builds a custom internal tool on top of the REST API and MCP server rather than a closed CRM's limited integrations.
A team standardizes on one shared schema so manual edits, in-app chat, and external agents never drift apart.