Hexis vs Scout by Fini: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Hexis and Scout by Fini — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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Hexis
Bevelites GmbH
Open-source git-backed control plane for enterprise AI agents — context, skills, tools and permissions as files in your own repo, served over MCP.
Key features
- Git-backed source of truth: Context, skills, tools, permissions, and agent identities live as Markdown/YAML files in your own repository — reviewed, branched, and diffed like any other code.
- Typed knowledge with provenance: Every fact is a typed node with source, owner, and last verification date, compiled into a graph you can traverse, mass-update, and dashboard.
- Markdown skills, not prompt fragments: Procedures live as readable Markdown files that domain owners can review, instead of prompt snippets buried in a vendor config.
- Tool manifests with vaulted secrets: Declare each tool once, hold secrets in a vault, and set file-level access rules that say which agent may read which file and call which endpoint.
- Per-agent identity: Each agent is a named actor with its own credentials and scope — no shared service accounts, and every action is attributable to a specific agent.
- Any runtime via MCP or UTCP: Serves the same governed surface to Claude Code, Cursor, ChatGPT, opencode, background agents, in-platform agents, and self-hosted models.
- Open-source Apache-friendly release: Hexis is the OSS core; Bevel (paid) adds hosted services, integrations, and enterprise support on top.
Best for
- Enterprises running AI agents across multiple vendors (Claude, Cursor, ChatGPT) who want context and skills defined once in their own infrastructure instead of re-uploaded per vendor.
- Procurement, GTM, and RFI teams building specialised agents (e.g., tender desks, campaign agents) on top of a shared reusable knowledge layer with provenance.
- Platform teams that need per-agent identities and file-level access controls so every tool call is attributable and destructive endpoints are gated by review.
- Companies wary of vendor lock-in who want a portable spec (MCP/UTCP) so they can switch agent runtimes without rebuilding context, skills, and tool wiring.
- Engineering leaders who want the AI 'operating manual' reviewed in git diffs and change requests instead of edited inside a black-box vendor console.
- Open-source-first teams evaluating a control plane locally with Hexis before committing to Bevel's hosted platform for larger deployments.
Scout by Fini
Fini AI
Scout is Fini's AI coworker for support teams, resolving tickets across chat, email and voice, including inside Slack.
Key features
- Multi-Channel Resolution: One agent handles voice, chat and email with shared policies and audit trail.
- Helpdesk Integrations: One-click OAuth with Zendesk, Intercom, Salesforce, HubSpot and others without migration.
- Agentic Actions: Performs actions such as searching Stripe charges and issuing refunds.
- Slack Coworker: Scout works with support teams directly inside Slack.
- Knowledge Atlas: Scans knowledge sources nightly on higher plans to stay current.
- Guardrails: Enforces policies for compliance-sensitive teams.
- 130+ Languages: Supports multilingual support operations.
Best for
- Ticket Deflection: Resolving common tickets before they reach a human.
- Billing Support: Handling refunds and duplicate-charge checks via Stripe.
- Voice Support: Answering phone support with AI voice.
- Slack Support Ops: Giving internal support teams an AI coworker in Slack.
- Enterprise Compliance: Automating support in regulated environments.
