# Alternatives to Dust > Source: https://theagentsindex.com/dust/alternatives (current datasheets, evidence-ranked) Candidates share the baseline category or are previously researched peers. Requirements, preserved strengths, explicit trade-offs and research coverage decide the order; paid tier does not. ## Shortlist ### 1. LangChain Open source agent frameworks plus LangSmith, a hosted platform to trace, evaluate, deploy and govern agents. **Research coverage:** 34/35 criteria **Where it improves on Dust:** - [Writes code: yes — The vendor ships dcode, a free open-source terminal coding agent that writes and runs code from a prompt; it is a separate package from the paid LangSmith platform.](https://www.langchain.com/dcode) - [Done-for-you service: partial — You run the software yourself on every self-serve plan; only Enterprise buyers get LangChain engineers, architectural guidance and team training alongside the product.](https://www.langchain.com/pricing) - [Runs autonomously: yes — Engine scans traces and drafts fixes on a schedule with nobody watching, and deployed agents run as background or cron-scheduled jobs rather than only in a chat session.](https://www.langchain.com/pricing) **Trade-offs against Dust:** - [Open source: partial — The frameworks and the dcode coding agent are MIT-licensed and free, while the LangSmith platform that carries the price, seats and governance is proprietary and hosted.](https://www.langchain.com/langchain) [View LangChain](https://theagentsindex.com/langchain) ### 2. Agno Python SDK, self-hosted AgentOS runtime and hosted control plane for building and operating agent platforms. **Research coverage:** 35/35 criteria **Where it improves on Dust:** - [Writes code: yes — Ships a CodingTools toolkit whose documented job is editing files and running commands in a scoped project directory.](https://docs.agno.com/use-cases/coding-agents) - [Debugs and fixes: yes — Bug fixing is a documented pattern: reproduce, patch, rerun the failing tests.](https://docs.agno.com/use-cases/coding-agents) - [Done-for-you service: partial — You run the software yourself, but Enterprise adds vendor engineers on the build: dedicated help with your product agent, monthly office hours and ChatGPT/Claude app help.](https://www.agno.com/pricing) **Trade-offs against Dust:** - [In your pipeline: no — The enumerated serving surfaces are REST, MCP in Claude/ChatGPT and chat apps; no pull-request or CI surface appears.](https://www.agno.com/) - [Open source: partial — The SDK and AgentOS runtime are Apache-2.0 on GitHub, while the control plane is a hosted product whose self-hosted variant is quoted per deal on Enterprise.](https://github.com/agno-agi/agno) - [Certifications: partial — SOC 2 compliance is asserted in the trust band on the enterprise and SDK pages, but no ISO 27001 or GDPR statement is published; security reviews are an Enterprise item.](https://www.agno.com/enterprise) [View Agno](https://theagentsindex.com/agno) ### 3. Glean Enterprise AI platform for building, governing and running agents on permission-aware company context. **Research coverage:** 35/35 criteria **Where it improves on Dust:** - [Writes code: yes — Code Writer proposes code changes and opens draft pull requests in GitHub, callable from Glean, agents or Slack.](https://docs.glean.com/administration/assistant/features/code-writer) - [Debugs and fixes: yes — Vendor names bug fixes as a target task; the Resolve Jira ticket agent turns an issue into a review-ready PR.](https://docs.glean.com/administration/assistant/features/code-writer) - [Runs autonomously: yes — Autonomous agents plan their own approach from plain-language instructions, and time-based triggers run them unattended.](https://www.glean.com/ai-agents/agent-builder) **Trade-offs against Dust:** - [On the command line: partial — No Glean CLI of its own; a plug-in exposes Glean tools inside terminal coding agents such as Claude Code, Codex, Gemini CLI and OpenCode.](https://docs.glean.com/administration/platform/mcp/glean-plugin) - [Open source: no — Closed, vendor-operated system: even in the customer's own cloud, altering or patching Glean services is unsupported.](https://docs.glean.com/get-started/prepare/about-deployment) - [Free tier: no — Licensed 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.](https://docs.glean.com/glean-core-suite-pricing) [View Glean](https://theagentsindex.com/glean) ### 4. Sim Open-source AI workspace for building, deploying and running agents across 1,000+ integrations. **Research coverage:** 35/35 criteria **Where it improves on Dust:** - [Whole-codebase work: yes — Create PR clones the whole repository into a sandbox with full read, shell, edit and git access.](https://docs.sim.ai/workflows/blocks/pi) - [Runs autonomously: yes — Schedule triggers run a deployed workflow on a timer with no input and no operator present; webhook triggers fire on external events.](https://docs.sim.ai/workflows/triggers/schedule) - [Agent permissions: yes — A Human in the Loop block pauses a run indefinitely for approval; Enterprise permission groups block disallowed models and block types mid-execution.](https://docs.sim.ai/workflows/blocks/human-in-the-loop) **Trade-offs against Dust:** - [Admin controls: partial — Enterprise Access Control groups restrict which model providers and block types users may run, enforced in the executor; not available below Enterprise.](https://docs.sim.ai/platform/enterprise/access-control) - [Opt out of training: partial — No 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.](https://www.sim.ai/privacy) - [Certifications: partial — SOC2 is claimed on the homepage but the plan table lists 'SOC2 Compliance' only in the Enterprise column; the privacy policy addresses GDPR and CCPA. No ISO 27001 claim found.](https://www.sim.ai/) [View Sim](https://theagentsindex.com/sim) ### 5. Tale Open-source project workspace where teams assign tasks to AI coding agents running in sandboxes. **Research coverage:** 33/35 criteria **Where it improves on Dust:** - [Writes code: yes — Project agents run on a coding harness that reads and writes files and runs commands in a sandbox, so new code is authored from the task brief.](https://docs.tale.dev/platform/agents/harnesses) - [Done-for-you service: partial — You run the software, but the Enterprise plan adds professional operation, installation and maintenance, with consulting and custom development charged hourly rather than a built-for-you agent.](https://tale.dev/pricing) - [Self-hosted: yes — Self-hosting is the Community edition's only deployment mode and remains an option on Enterprise, on your own hardware or in Tale's cloud.](https://tale.dev/pricing) **Trade-offs against Dust:** - [Reviews code: partial — A separate agent can be granted a review tool to judge another agent's completed result and its evidence, but the vendor scopes this to task deliverables and says Tale does not verify GitHub state itself.](https://docs.tale.dev/platform/projects/task-automation) - [On the command line: partial — A Tale CLI exists for deployment and configuration projects, and terminal agents can call the REST and MCP endpoints, but agent runs themselves are driven from the web app.](https://docs.tale.dev/develop/ai-assisted-development) - [Certifications: partial — Ruler GmbH holds ISO/IEC 27001 covering Tale Enterprise and offers a GDPR/FADP DPA with a custom DPA on Enterprise, but no SOC 2 report is published.](https://docs.tale.dev/cloud/trust-and-compliance) [View Tale](https://theagentsindex.com/tale) ### 6. n8n Workflow automation platform for building and running AI agents on a visual canvas, with code where needed. **Research coverage:** 35/35 criteria **Where it improves on Dust:** - [Runs autonomously: yes — Agents run a reasoning loop until they produce a result and fire from schedules or channels with nobody watching; approval steps are something you add.](https://docs.n8n.io/build/build-and-manage-agents) - [Agent permissions: yes — Approval 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.](https://docs.n8n.io/build/integrate-ai/ai-examples/human-in-the-loop-for-tools) - [In your pipeline: yes — Git 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.](https://n8n.io/enterprise/) **Trade-offs against Dust:** - [Reviews code: no — The 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.](https://docs.n8n.io/build/manage-workflows/workflow-reviews) - [Open source: partial — Source-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.](https://docs.n8n.io/privacy-and-security/sustainable-use-license) - [Seat model: no — Not 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).](https://n8n.io/pricing/) [View n8n](https://theagentsindex.com/n8n) ## Method Unknown data is never treated as a benefit or a trade-off. Featured placement is labelled but cannot alter recommendation order.