Salesforce Agentforce vs Avery Software: a comparison and Agentforce alternatives
· Avery NXR
Salesforce Agentforce and Avery Software both fall under the AI agent platform category but serve very different teams. Agentforce is Salesforce-native — built for the Salesforce customer base, deeply integrated with the CRM platform. Avery Software builds local-first AI agents, with the model running on the user's hardware.
This post is an honest comparison for teams evaluating between them, plus the other Agentforce alternatives worth considering.
What Agentforce is
Agentforce is Salesforce's AI agent product, launched in late 2024. It runs inside the Salesforce platform and leverages the data, security model, and infrastructure that Salesforce customers already have in place.
Agentforce emphasizes:
- Native integration with Sales Cloud, Service Cloud, and Marketing Cloud
- Access to the customer's Salesforce data through the platform's existing security model
- Agent design through the Agent Builder, with declarative configuration
- Action execution through Salesforce's Flow and Apex frameworks
- Per-conversation pricing for agent interactions
It is designed for customers who already use Salesforce extensively and want AI agents that operate on the data and processes already in the Salesforce platform.
What Avery Software is
Avery Software builds local-first AI agents. The agent and its underlying Small Language Model run on the user's hardware. The first agent product, Avery NXR, focuses on scaffolding production-ready Next.js + Prisma + TypeScript applications from a prompt.
Avery emphasizes:
- Local inference (the model runs on the user's machine)
- Specialized agents fine-tuned for narrow workflows
- Flat-rate perpetual licensing
- Built-in audit ledger
- Signed plugin ecosystem
The two platforms target dramatically different audiences and solve different problems.
The architectural difference
Agentforce is platform-native. The agent lives inside Salesforce, accesses Salesforce data, executes Salesforce actions, and is governed by Salesforce's security and audit framework. For Salesforce customers, this is the major advantage — the AI agent works in the system the team already uses.
Avery is platform-independent. The agent lives on the user's machine, accesses local data, executes local actions, and is governed by Avery's local audit framework. For users who want to keep data local or who aren't in the Salesforce ecosystem, this is the major advantage.
The platforms are not competing for the same teams. A team deeply embedded in Salesforce will find Agentforce structurally fits their world. A team building local-first applications will find Avery structurally fits theirs.
Pricing comparison
Agentforce's pricing has been Salesforce's typical per-conversation model with platform license requirements. The bill scales with conversation volume and is layered on top of existing Salesforce licensing.
Avery's pricing is flat-rate perpetual licensing. You pay once. Updates within the version are free. Major version upgrades are optional.
For Salesforce customers running high-volume agent interactions, the Agentforce bill compounds. For users running local agents with high-volume workflows, the Avery cost remains flat.
When Agentforce wins
Agentforce is the right choice when:
You're a Salesforce customer with substantial deployment of Sales Cloud, Service Cloud, or Marketing Cloud, and you want AI agents that operate on the data already in your Salesforce environment.
Your data is already in Salesforce and you want to use it for agent actions without building new integrations.
You want the operational benefits of platform-native AI — single security model, single user management, single audit framework.
You have Salesforce administrators and developers who can build, deploy, and govern agents using the Salesforce tooling they already know.
When Avery Software wins
Avery is the right choice when:
You want local-first AI agents that run on your hardware, with the model on your machine.
You're building production applications (especially Next.js applications) and want a specialized agent for the scaffolding work.
You want flat-rate licensing rather than per-conversation pricing.
You want privacy-by-architecture: the data and the inference both stay on your machine, by design.
You're not a Salesforce customer, or you want AI agents that work outside the Salesforce ecosystem.
Other Agentforce alternatives worth considering
Beyond Avery Software, the other meaningful Agentforce alternatives include:
Microsoft Copilot Studio — Microsoft's equivalent for customers in the Microsoft ecosystem (Dynamics, Power Platform). Similar value proposition to Agentforce, scoped to Microsoft's stack.
ServiceNow Now Assist — ServiceNow's AI agent product for customers heavily deployed in ServiceNow.
Oracle AI Agent Studio — Oracle's equivalent for Oracle Cloud customers.
Lyzr.ai — platform-independent agent platform with both cloud and self-hosted options.
LangChain / LangGraph — open-source agent framework for teams that prefer to build in code.
Each of these has different strengths depending on which enterprise platform you are deepest in. The right choice depends on where your data already lives and what kind of integration you need.
How to decide
The decision is usually answered by your existing platform commitments.
If your data lives in Salesforce and your team uses Salesforce daily, Agentforce is the natural fit. The advantages of platform-native deployment usually outweigh the costs.
If your data doesn't live in Salesforce, or if you're building applications that need to run on the user's machine, Avery Software (or one of the other platform-independent alternatives) is the right fit.
For teams in neither category — building new AI agent applications without strong existing platform commitments — the comparison is between Avery and the other independent platforms. Salesforce Agentforce isn't usually the right answer for that profile.
The simplest decision rule: are you a Salesforce shop, or are you not? The answer shapes the rest of the decision.