Hexis vs Wisry: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Hexis and Wisry — 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.
Wisry
Wisry
Agentic ad platform that reverse-engineers the ads already winning in your market, rebuilds them for your brand, and launches them to Meta and Google.
Key features
- Competitive ad research agents: Analyze the ads currently performing in your market and reverse-engineer the creative patterns behind them
- Evidence-backed angles: Produces a set of six messaging angles per run, each grounded in observed market performance rather than a generic template
- Brand-matched creative: Rebuilds winning concepts as static and video ads in the customer's own brand rather than reusing competitor assets
- Direct campaign launch: Pushes finished creative live to Meta and Google, optimized for return on ad spend
- End-to-end loop: Research, angles, creative and live campaign run as one continuous flow instead of separate tools and handoffs
- Trained on $1B+ ad spend: Creative and targeting models are built on a large base of historical advertising performance data
- Multi-model orchestration: Coordinates several leading foundation models rather than relying on a single provider
Best for
- An ecommerce brand entering a new category and wanting to see which creative angles already convert there before spending
- A performance marketer who needs a steady volume of fresh ad variations to fight creative fatigue
- A small DTC team without an in-house creative department producing static and video ads at agency cadence
- Testing six distinct messaging angles against each other instead of iterating on a single hypothesis
- Launching Meta and Google campaigns directly from the creative step rather than exporting assets to a separate campaign manager
- An agency scaling creative output across multiple ecommerce clients without proportional headcount