# Alternatives to Salesforce Agentforce > Source: https://theagentsindex.com/salesforce-agentforce/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. Glean Enterprise AI platform for building, governing and running agents on permission-aware company context. **Research coverage:** 35/35 criteria **Where it improves on Salesforce Agentforce:** - [Reviews code: yes — The pull request review agent fetches a PR diff, checks it against style guides and posts comments back to GitHub.](https://www.glean.com/agent-library/pull-request-review) - [Open models: yes — Open-weight models are a named tier in the rate card, served through Fireworks or Baseten.](https://docs.glean.com/glean-enterprise-flex-pricing) - [Self-hosted: partial — Customer Hosted runs Glean inside your own AWS or GCP account, but as a Glean-operated managed service you may not deploy or patch yourself.](https://docs.glean.com/get-started/prepare/about-deployment) **Trade-offs against Salesforce Agentforce:** - [Writes tests: partial — Test changes appear in the vendor's own agent example output; no dedicated test-generation feature is documented.](https://www.glean.com/agent-library/spec-to-implementation-pr) - [Ships it: no — It stops at a draft pull request; review and merge stay in the customer's source control.](https://docs.glean.com/administration/assistant/features/code-writer) - [Done-for-you service: no — Glean sells licensed software; it manages the infrastructure and application but customers build and run their own agents.](https://docs.glean.com/get-started/prepare/about-deployment) [View Glean](https://theagentsindex.com/glean) ### 2. Dust Platform for building and running AI agents on connected company data, with 20+ models and MCP tools. **Research coverage:** 32/35 criteria **Where it improves on Salesforce Agentforce:** - [Reviews code: yes — GitHub tools let an agent review pull requests against your internal rules; an admin must first run the OAuth flow and pick the repositories.](https://docs.dust.tt/docs/user-documentation/agents/tools/github) - [Open models: yes — Open-weight families such as Mistral, DeepSeek, Kimi and GLM are offered, but Dust serves them itself through providers like Fireworks rather than your own weights.](https://dust.tt/home/product) - [On the command line: yes — A published npm CLI opens an interactive terminal chat with filesystem access, and takes single non-interactive messages that return JSON on stdout.](https://docs.dust.tt/docs/developer-platform/dust-cli/dust-cli) **Trade-offs against Salesforce Agentforce:** - [Writes code: partial — Agents author React components (Frames) and run code in a sandbox to produce files, but Dust documents no repository-level code authoring or commits.](https://docs.dust.tt/docs/user-documentation/pods/frames) - [Debugs and fixes: partial — Marketed for debugging by surfacing code context, docs and past issues to the engineer; nothing documents the agent landing the fix itself.](https://dust.tt/home/solutions/engineering) - [Done-for-you service: no — You buy software and configure the agents yourself; Dust's own people come in as onboarding and customer success on Enterprise, not as a build team.](https://dust.tt/home/pricing) [View Dust](https://theagentsindex.com/dust) ### 3. Agno Python SDK, open-source AgentOS runtime and hosted control plane for building and operating agents. **Research coverage:** 35/35 criteria **Where it improves on Salesforce Agentforce:** - [Reviews code: yes — Code review over a diff is one of the documented coding-agent patterns.](https://docs.agno.com/use-cases/coding-agents) - [Open models: yes — Local runtimes llama.cpp, LM Studio, Ollama and vLLM are first-class provider keys, alongside Llama, Mistral, DeepSeek and Qwen.](https://docs.agno.com/models/providers/model-index) - [On the command line: yes — The `agno` command scaffolds a project, starts and stops it, connects clients and mints service-account tokens.](https://docs.agno.com/cli/overview) **Trade-offs against Salesforce Agentforce:** - [Writes tests: partial — The documented Verify stage runs the repository's existing gates; test authoring appears only in the example prompt, not as a capability claim.](https://docs.agno.com/use-cases/coding-agents) - [Ships it: partial — Publishing is deliberately outside the default loop; commits, PRs and deploys must be exposed as separately gated tools.](https://docs.agno.com/use-cases/coding-agents) - [Done-for-you service: no — You run the software in your own cloud; Enterprise adds dedicated build help, not a managed service.](https://www.agno.com/products/runtime) [View Agno](https://theagentsindex.com/agno) ### 4. OpenClaw Self-hosted gateway that connects chat apps like WhatsApp, Telegram and Slack to AI agents on your own machine. **Research coverage:** 32/35 criteria **Where it improves on Salesforce Agentforce:** - [Open models: yes — Local and self-hosted inference servers are first-class providers, as is any OpenAI- or Anthropic-compatible endpoint.](https://docs.openclaw.ai/concepts/features) - [On the command line: yes — The openclaw CLI is the primary interface: onboarding, gateway control, sessions, agents, automations, backups and diagnostics.](https://docs.openclaw.ai/cli) - [Self-hosted: yes — Self-hosting is the only deployment model: one Gateway process on your laptop, a Mac mini, a VPS, Docker, Kubernetes or a Raspberry Pi.](https://docs.openclaw.ai/) **Trade-offs against Salesforce Agentforce:** - [Ships it: partial — A Gateway publication broker creates commits, pushed branches and pull requests from a session; nothing in the docs claims it deploys.](https://docs.openclaw.ai/concepts/user-model) - [Done-for-you service: no — You install and operate it yourself; the OpenClaw Foundation stewards the code and the docs offer no build-and-run service.](https://docs.openclaw.ai/start/why-openclaw) - [Single sign-on: partial — No 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.](https://docs.openclaw.ai/gateway/trusted-proxy-auth) [View OpenClaw](https://theagentsindex.com/openclaw) ### 5. ElevenLabs Agents Hosted platform for building voice and chat agents, with telephony, SDKs and a choice of LLM. **Research coverage:** 35/35 criteria **Where it improves on Salesforce Agentforce:** - [Agent permissions: yes — Tool use is gated per MCP server and per tool: always ask, fine-grained (auto-approved, requires approval, disabled), or no approval at all.](https://elevenlabs.io/docs/eleven-agents/customization/tools/mcp) - [Open models: yes — Open-weight models run two ways: ElevenLabs-hosted Qwen in the native model list, or Llama and Mixtral through a custom LLM endpoint such as Together AI, Groq or SambaNova.](https://elevenlabs.io/docs/eleven-agents/customization/llm/custom-llm/together-ai) - [On the command line: yes — A standalone CLI authenticates by OAuth and pushes, pulls and diffs agent, tool and test configurations held as files in version control.](https://elevenlabs.io/docs/eleven-agents/operate/cli) **Trade-offs against Salesforce Agentforce:** - [Writes code: partial — ElevenLabs agents do not author code themselves; the Cursor integration lets an agent launch Cursor background agents that do, and needs a paid Cursor plan.](https://elevenlabs.io/docs/eleven-agents/customization/integrations/cursor) - [Debugs and fixes: partial — Bug fixing is delegated: the agent starts and steers a Cursor background agent, which diagnoses and lands the change; ElevenLabs itself never touches the repository.](https://elevenlabs.io/docs/eleven-agents/customization/integrations/cursor) - [Ships it: partial — The CLI pushes agent configuration to the platform and into CI/CD; what it deploys is agents, not application code.](https://elevenlabs.io/docs/eleven-agents/operate/cli) [View ElevenLabs Agents](https://theagentsindex.com/elevenlabs-conversational-ai) ### 6. Sim Open-source AI workspace for building, deploying and running agents across 1,000+ integrations. **Research coverage:** 35/35 criteria **Where it improves on Salesforce Agentforce:** - [Reviews code: yes — Review Code mode checks out an existing PR read-only and submits a GitHub review with inline comments.](https://docs.sim.ai/workflows/blocks/pi) - [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) - [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 Salesforce Agentforce:** - [Writes code: partial — Generates workflow logic, blocks and schemas from a plain-English description, not application source code.](https://www.sim.ai/) - [Debugs and fixes: partial — Babysit Mode reads failing checks and review threads and runs bounded fixing rounds; no general 'diagnose a production failure' claim.](https://docs.sim.ai/workflows/blocks/pi) - [Ships it: partial — Deploys what it builds: workflows ship as versioned REST endpoints, with deploy/undeploy/rollback callable from CI. What ships is workflows, not code.](https://docs.sim.ai/workflows/deployment/api) [View Sim](https://theagentsindex.com/sim) ## Method Unknown data is never treated as a benefit or a trade-off. Featured placement is labelled but cannot alter recommendation order.