# 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. 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 Salesforce Agentforce:**
- [Open models: yes — A custom provider credential points at a self-hosted model server such as vLLM or Ollama, or any internal gateway speaking the OpenAI or Anthropic API.](https://docs.tale.dev/platform/admin/providers)
- [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)
- [Open source: yes — The platform is published under the MIT licence with its repository on GitHub, and the vendor states all product features are included in Community.](https://tale.dev/pricing)

**Trade-offs against Salesforce Agentforce:**
- [Ships it: no — Work stops at collected deliverables and a review verdict; the vendor states plainly that a review does not merge a pull request, and connector writes are refused to agents.](https://docs.tale.dev/platform/projects/task-automation)
- [Runs autonomously: partial — An agent completes a task unattended and posts its report, but it must stop at In review and cannot approve its own result, so a person or a separate reviewer agent closes the loop.](https://docs.tale.dev/platform/projects/task-automation)
- [In your editor: partial — There is no Tale IDE extension; instead opencode and Claude Code are pointed at Tale as a model provider and MCP tool server from your own editor.](https://docs.tale.dev/develop/use-tale-from-your-editor)

[View Tale](https://theagentsindex.com/tale)

### 3. 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 Salesforce Agentforce:**
- [Agent permissions: yes — Human-in-the-loop interrupts gate agent actions in the framework, dcode gates code execution behind approval modes, and Fleet agents can run as themselves or as the calling user.](https://www.langchain.com/langgraph)
- [Open models: yes — Open-weight models run through local Ollama, vLLM, Hugging Face and Together integrations, and the gateway can front a self-hosted OpenAI-compatible endpoint you operate yourself.](https://docs.langchain.com/oss/python/integrations/chat/ollama)
- [On the command line: yes — Several terminal surfaces exist: the LangGraph CLI for local dev servers, a Sandbox CLI on every plan, a LangSmith CLI for issues, and the dcode terminal coding agent.](https://docs.langchain.com/langsmith/engine)

**Trade-offs against Salesforce Agentforce:**
- [Debugs and fixes: partial — LangSmith Engine diagnoses failures from production traces and opens a GitHub pull request with the fix, but a human still merges it, and Engine is absent from the free Developer plan.](https://docs.langchain.com/langsmith/engine)
- [Writes tests: partial — Engine generates ground-truth dataset examples and assertions so a fix can be evaluated offline; those are agent evals, not unit tests, and the vendor's CI guide leaves unit tests to you.](https://docs.langchain.com/langsmith/engine)
- [In your editor: partial — LangSmith Studio is the vendor's own agent IDE for visualising and debugging graphs, but no plugin for VS Code, JetBrains or Cursor is documented; dcode is a terminal, not an editor.](https://docs.langchain.com/langsmith/studio)

[View LangChain](https://theagentsindex.com/langchain)

### 4. 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 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)
- [Agent permissions: yes — Permissions are enforced at runtime per agent and per tool, and a tool can be flagged to pause for user confirmation or for an admin approval that leaves a record.](https://www.agno.com/products/sdk)
- [Open models: yes — Open-weight models run through documented local runtime adapters for Ollama, vLLM, llama.cpp and LM Studio, so inference can stay on your own hardware.](https://docs.agno.com/models/providers/model-index)

**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)
- [In your editor: partial — There is no Agno IDE extension; instead the CLI registers your running AgentOS as an MCP server inside Cursor, Claude Code and Codex, which is a connection rather than an editor surface.](https://www.agno.com/pricing)

[View Agno](https://theagentsindex.com/agno)

### 5. OpenClaw

Open-source personal agent runtime you host yourself and message from any chat app.

**Research coverage:** 32/35 criteria

**Where it improves on Salesforce Agentforce:**
- [Agent permissions: yes — Exec policy spans deny, allowlist, ask, auto and full modes with approval prompts, allowlist bindings and a deny fallback when no approval UI is reachable, so how much runs unattended is configurable.](https://docs.openclaw.ai/tools/exec-approvals)
- [Open models: yes — Open-weight models run through local servers such as Ollama, LM Studio, vLLM and SGLang, or any compatible endpoint you point the Gateway at.](https://openclaw.ai/integrations)
- [On the command line: yes — A global npm CLI plus a CLI-only installer give a full terminal surface, with subcommands for onboarding, gateway, agents, approvals, backup and MCP.](https://openclaw.ai/install)

**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 — There is no service business behind this: you install and operate the software yourself on your own hardware, and the project is stewarded by a foundation rather than sold as an engagement.](https://openclaw.ai/)
- [How it meters: no — The vendor meters nothing at all: no seats, credits, tokens or tasks are billed, and your only running cost is whatever the model provider you connect charges.](https://openclaw.ai/)

[View OpenClaw](https://theagentsindex.com/openclaw)

### 6. 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)

## Method

Unknown data is never treated as a benefit or a trade-off. Featured placement is labelled but cannot alter recommendation order.
