Top 6 of 28 researched candidates
Alternatives to Dust
Find a better fit for what you need. Compare alternatives to Dust with sourced features, strengths and trade-offs side by side.
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Evidence-backed shortlist
Closest researched alternatives to Dust
Ordered by the requirements met, strengths preserved, explicit trade-offs and research coverage. Sponsorship does not enter the order.
- 01
Glean
Enterprise AI platform for building, governing and running agents on permission-aware company context.
Why it's on this listWrites code · YesCode Writer proposes code changes and opens draft pull requests in GitHub, callable from Glean, agents or Slack.Evidence ↗
Where it improves on Dust
- +Debugs and fixes · YesVendor names bug fixes as a target task; the Resolve Jira ticket agent turns an issue into a review-ready PR.Evidence ↗
- +In your editor · YesA remote MCP server puts Glean inside Cursor, VS Code, Windsurf, JetBrains AI Assistant and Claude Desktop.Evidence ↗
Trade-offs against Dust
- −On the command line · PartialNo Glean CLI of its own; a plug-in exposes Glean tools inside terminal coding agents such as Claude Code, Codex, Gemini CLI and OpenCode.Evidence ↗
- −Open source · NoClosed, vendor-operated system: even in the customer's own cloud, altering or patching Glean services is unsupported.Evidence ↗
- −Free tier · NoLicensed per user per month with an upfront usage commit; every call to action on the site is a demo request, and no self-serve or free tier is published.Evidence ↗
35/35 researched criteria - 02
Sim
Open-source AI workspace for building, deploying and running agents across 1,000+ integrations.
From FreeWhy it's on this listWhole-codebase work · YesCreate PR clones the whole repository into a sandbox with full read, shell, edit and git access.Evidence ↗
Where it improves on Dust
- +Agent permissions · YesA Human in the Loop block pauses a run indefinitely for approval; Enterprise permission groups block disallowed models and block types mid-execution.Evidence ↗
- +Self-hosted · YesDocker Compose and Kubernetes deployments are documented and free; the pricing table nevertheless lists 'Self Hosting' only under Enterprise.Evidence ↗
Trade-offs against Dust
- −Admin controls · PartialEnterprise Access Control groups restrict which model providers and block types users may run, enforced in the executor; not available below Enterprise.Evidence ↗
- −Single sign-on · PartialBoth OIDC and SAML 2.0, with a verified email domain required; the plan table marks SSO available on Enterprise only.Evidence ↗
- −Opt out of training · PartialNo customer-facing training opt-out switch; the vendor commits that Google-API data is never used for generalized model training, and self-hosting keeps data on your own infrastructure.Evidence ↗
35/35 researched criteria - 03
Agno
Python SDK, open-source AgentOS runtime and hosted control plane for building and operating agents.
From FreeWhy it's on this listWrites code · YesShips a CodingTools toolkit whose documented job is editing files and running commands in a scoped project directory.Evidence ↗
Where it improves on Dust
- +Debugs and fixes · YesBug fixing is a documented pattern: reproduce, patch, rerun the failing tests.Evidence ↗
- +In your editor · Yes`agno connect` writes MCP config for Claude Code, Claude Desktop, Codex and Cursor so those clients can run your agents.Evidence ↗
Trade-offs against Dust
- −In your pipeline · NoThe enumerated serving surfaces are REST, MCP in Claude/ChatGPT and chat apps; no pull-request or CI surface appears.Evidence ↗
- −Open source · PartialSDK and AgentOS are Apache 2.0; the control plane is the commercial part and is not published as source.Evidence ↗
- −Pooled budget · PartialThere is no metered balance to pool; seats share access to the same connected runtimes and usage inside a connection is unlimited.Evidence ↗
35/35 researched criteria - 04
Salesforce Agentforce
Salesforce's platform for building, deploying and monitoring AI agents on top of CRM data.
From FreeWhy it's on this listWrites code · YesThe Agentforce Vibes coding agent turns a natural-language description into Salesforce code and metadata.Evidence ↗
Where it improves on Dust
- +Debugs and fixes · YesVibes runs the test or deployment, reads the failure and iterates toward a fix rather than stopping at the error.Evidence ↗
- +Done-for-you service · PartialAgentforce is software the customer configures in a low-code builder; Salesforce separately sells Professional Services that performs the hands-on build, reached through an account executive rather than bundled with the product.Evidence ↗
Trade-offs against Dust
- −Reviews code · PartialStatic analysis with auto-fix runs over code in your own workspace and Git diffs can be attached as context, but no diff or pull-request review feature is documented and the docs state the trust layers do not replace code review.Evidence ↗
- −Open models · PartialThe Salesforce-managed model list names only Anthropic, OpenAI/Azure OpenAI, Google Vertex, Amazon and NVIDIA (beta), with no Llama or Mistral, so open-weight models arrive only through the customer's own BYOLLM connection.Evidence ↗
- −On the command line · PartialSalesforce CLI drives the whole agent lifecycle from a terminal, but the Vibes coding agent itself is distributed only as a VS Code extension and a hosted IDE. There is no standalone Vibes CLI.Evidence ↗
35/35 researched criteria - 05
n8n
Workflow automation platform for building and running AI agents on a visual canvas, with code where needed.
From FreeWhy it's on this listAgent permissions · YesApproval is wired per tool: the workflow pauses and a reviewer approves or denies through Chat, Slack, Discord, Telegram, Gmail or Outlook. Tools with no review step execute unattended.Evidence ↗
Where it improves on Dust
- +In your pipeline · YesGit source control with workflow diffs gates what reaches production, the n8n CLI page names CI/CD pipeline integration as a fit, and the GitHub Trigger node fires on pull request events.Evidence ↗
- +Self-hosted · YesDocker, npm or Helm on your own boxes, air-gapped if required; the free Community edition needs no licence key, and Business or Enterprise features unlock with one.Evidence ↗
Trade-offs against Dust
- −Reviews code · NoThe review feature is a human approving a pinned workflow version against a visual diff (Enterprise, Preview); nothing in the product reviews a diff for you.Evidence ↗
- −Open source · PartialSource-available under the fair-code Sustainable Use License: free to use, modify and redistribute for internal business purposes, but not to resell or host for others. Files named .ee. sit under a separate enterprise licence.Evidence ↗
- −Seat model · NoNot sold per seat. Users are unlimited on every plan and the quota is executions, so there is no seat floor or ceiling to negotiate; shared projects are what step up by tier (1, 3, 6, unlimited).Evidence ↗
35/35 researched criteria - 06
OpenClaw
Self-hosted gateway that connects chat apps like WhatsApp, Telegram and Slack to AI agents on your own machine.
From FreeWhy it's on this listWrites code · YesThe bundled agent runtime gets read, write, edit and apply_patch file tools plus exec, and the docs position the Gateway as a front end for coding agents.Evidence ↗
Where it improves on Dust
- +In your editor · YesAn Agent Client Protocol bridge over stdio lets an IDE drive a Gateway session; the docs give Zed setup steps for it.Evidence ↗
- +Self-hosted · YesSelf-hosting is the only deployment model: one Gateway process on your laptop, a Mac mini, a VPS, Docker, Kubernetes or a Raspberry Pi.Evidence ↗
Trade-offs against Dust
- −Reviews code · PartialNo built-in review product; the vendor's showcase describes a community-built loop in which OpenClaw reads a PR diff and answers with suggestions and a merge verdict.Evidence ↗
- −Single sign-on · PartialNo SAML or OIDC in the Gateway itself: it consumes a verified identity header from an identity-aware reverse proxy such as Cloudflare Access, or a Tailscale identity, and the security audit flags that delegation as critical.Evidence ↗
- −Opt out of training · PartialThere is no OpenClaw cloud in the path, so nothing trains on your data by default; whether your code trains a model depends on the provider you configure, and local providers avoid the question entirely.Evidence ↗
32/35 researched criteria · 3 not established
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How the shortlist is calculated
Comparable first. We consider listings in the same category as Dust and alternatives previously researched for this page.
Requirements first. We prioritise your selected needs, then shared strengths, fewer documented trade-offs, more complete research and finally alphabetical order.
Unknown remains unknown. Missing evidence is never converted into a benefit or a trade-off. Every improvement shown above comes from the same sourced criterion as the listing.
Independent order. Payment does not affect selection or ranking. Paid placements are labelled Advertisement.
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