# Alternatives to Glean > Source: https://theagentsindex.com/glean/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. Salesforce Agentforce Salesforce's platform for building, deploying and monitoring AI agents on top of CRM data. **Research coverage:** 35/35 criteria **Where it improves on Glean:** - [Writes tests: yes — Apex test classes and LWC Jest tests are generated alongside the code, with a dedicated QA Validator sub-agent for coverage.](https://developer.salesforce.com/docs/platform/agentforcevibes/guide/afv-agentic-dev.html) - [Ships it: yes — It deploys metadata to the org itself, and through the Salesforce DX MCP Server's DevOps Center tools it commits and opens pull requests; deploy and delete stay approval-gated by default.](https://developer.salesforce.com/docs/platform/agentforcevibes/guide/afv-agentic-dev.html) - [Done-for-you service: partial — Agentforce 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.](https://www.salesforce.com/services/professional-services/) **Trade-offs against Glean:** - [Reviews code: partial — Static 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.](https://www.salesforce.com/agentforce/developers/vibe-coding/) - [Open models: partial — The 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.](https://developer.salesforce.com/docs/ai/agentforce/guide/supported-models.html) - [Self-hosted: no — Agentforce runs on Salesforce's own public-cloud infrastructure, and even default model inference is operated inside the Salesforce Trust Boundary; no on-premises or customer-VPC deployment is offered.](https://www.salesforce.com/platform/public-cloud-infrastructure/) [View Salesforce Agentforce](https://theagentsindex.com/salesforce-agentforce) ### 2. 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 Glean:** - [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) - [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) - [Self-hosted: yes — The runtime always runs in your own cloud; self-hosting the control plane itself is an Enterprise add-on.](https://www.agno.com/pricing) **Trade-offs against Glean:** - [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/) - [Pooled budget: partial — There is no metered balance to pool; seats share access to the same connected runtimes and usage inside a connection is unlimited.](https://www.agno.com/pricing) - [Audit log: partial — The runtime records audit logs and approval resolutions; audit logs covering your own end users are Enterprise.](https://www.agno.com/) [View Agno](https://theagentsindex.com/agno) ### 3. 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 Glean:** - [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) - [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 Glean:** - [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) - [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) ### 4. 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 Glean:** - [Ships it: yes — LangSmith Deployment runs agents in production with one-click deploy from Studio and a control-plane API; the free Developer plan shows Deployment as N/A, so shipping starts at Plus.](https://docs.langchain.com/langsmith/studio) - [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) - [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) **Trade-offs against Glean:** - [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) - [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) - [Bring your own key: partial — You can bring your own provider keys through the gateway on every plan, or buy inference as Gateway Credits, but Engine refuses your keys and bills its model use as compute units.](https://docs.langchain.com/langsmith/engine) [View LangChain](https://theagentsindex.com/langchain) ### 5. Gumloop Multiplayer AI agent builder: teams build agents over their apps while IT keeps governance and spend control. **Research coverage:** 32/35 criteria **Where it improves on Glean:** - [Ships it: partial — Gumloop builds and deploys custom MCP servers straight from a GitHub repository on every push to main, but that ships the connector code, not the buyer's own applications.](https://docs.gumloop.com/enterprise-features/hosted_mcps) - [Agent permissions: yes — Per-connector approval modes range from always-allow to never-allow, with a read-free write-gated middle setting and per-tool custom rules.](https://docs.gumloop.com/core-concepts/human_in_the_loop) - [On the command line: yes — A first-party CLI runs agents, calls MCP tools, searches Company Brain and manages skills and artifacts from the terminal, and is included on both plans.](https://www.gumloop.com/products/cli) **Trade-offs against Glean:** - [Reviews code: partial — Through the GitHub connector an agent can open a pull request's changed files and inline review comments and post its own comment, but there is no dedicated review product or verdict workflow.](https://docs.gumloop.com/nodes/mcp/github) - [In your editor: partial — There is no Gumloop IDE extension; instead its remote MCP server is documented for Cursor, VS Code and Windsurf, so the editor drives Gumloop agents rather than Gumloop living in the editor.](https://docs.gumloop.com/mcp-server/overview) - [Admin controls: partial — Pro limits connector guardrails to a single agent's scope; org-wide policies, role-based access and model access control are Enterprise-only rows in the same table.](https://www.gumloop.com/pricing) [View Gumloop](https://theagentsindex.com/gumloop) ### 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 Glean:** - [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) - [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) - [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 Glean:** - [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) - [In your editor: partial — No IDE extension; instead deployed workflows are callable from Cursor, VS Code, Claude Code and Codex as MCP tools.](https://docs.sim.ai/workflows/deployment/mcp) [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.