# Alternatives to Manus

> Source: https://theagentsindex.com/manus/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 Manus:**
- [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)
- [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/)
- [Claude: yes — Anthropic Claude models are named rows in the supported-model table, and the non-default AWS-Hosted Agentforce model option is a Claude model on Amazon Bedrock.](https://developer.salesforce.com/docs/ai/agentforce/guide/supported-models.html)

**Trade-offs against Manus:**
- No researched regression against the baseline.

[View Salesforce Agentforce](https://theagentsindex.com/salesforce-agentforce)

### 2. 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 Manus:**
- [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)
- [Claude: yes — A first-party langchain-anthropic package covers Claude with tool calling, structured output and streaming, and the LLM Gateway routes Anthropic model IDs with one LangSmith key.](https://docs.langchain.com/oss/python/integrations/chat/anthropic)

**Trade-offs against Manus:**
- [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)

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

### 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 Manus:**
- [Claude: yes — Anthropic models are offered through Google Vertex AI or Amazon Bedrock, or directly with your own Anthropic key.](https://docs.glean.com/administration/llms)
- [GPT: yes — OpenAI models are listed in the Model Hub text-model table, via Azure or OpenAI directly.](https://docs.glean.com/administration/llms)
- [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)

**Trade-offs against Manus:**
- [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)
- [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. Devin

Cloud AI software engineer that takes a ticket, works in its own VM, and opens a pull request.

**Research coverage:** 35/35 criteria

**Where it improves on Manus:**
- [Writes tests: yes — Analyses the repository's existing test style and writes additional tests to raise coverage.](https://docs.devin.ai/use-cases/tutorials/code-coverage)
- [Whole-codebase work: yes — Migrations spanning many files, modules or whole repositories are the stated use for fanning work out to parallel sessions.](https://docs.devin.ai/work-with-devin/advanced-capabilities)
- [Agent permissions: yes — Graded modes from prompt-before-writing up to full bypass, plus an OS-sandboxed autonomous mode.](https://docs.devin.ai/cli/reference/permissions)

**Trade-offs against Manus:**
- [Ships it: partial — Stops at the pull request in your repository; your team merges and ships through its existing pipeline.](https://docs.devin.ai/product-guides/deployment-capabilities)
- [Certifications: partial — SOC 2 Type II since September 2024; the Trust Center additionally lists ISO/IEC 27001:2022 and CCPA, behind an NDA request.](https://docs.devin.ai/enterprise/security-access/security/enterprise-security)

[View Devin](https://theagentsindex.com/devin)

### 5. UiPath Agent Builder

Low-code canvas in UiPath Studio Web for building AI agents that run on the UiPath automation platform.

**Research coverage:** 35/35 criteria

**Where it improves on Manus:**
- [Agent permissions: yes — The agent can act only through tools you explicitly grant it, per-tool guardrails evaluate deterministic rules before and after each call with Log, Filter, Block or Escalate actions, and a max-iterations setting caps its reasoning loops.](https://docs.uipath.com/agents/automation-cloud/latest/user-guide/agent-tools)
- [Claude: yes — Anthropic is one of only three model providers the Agents documentation lists as selectable for an agent, served through AWS Bedrock, and you choose it per agent in the Properties panel.](https://docs.uipath.com/agents/automation-cloud/latest/user-guide/analyze-files)
- [GPT: yes — OpenAI is a first-class provider in the Agents model documentation and in the platform LLM configuration table, selectable per agent alongside Anthropic and Google.](https://docs.uipath.com/agents/automation-cloud/latest/user-guide/analyze-files)

**Trade-offs against Manus:**
- [Writes code: partial — Autopilot generates and extends agent logic from a prompt inside the canvas, and third-party coding agents can author the same projects, but what it writes is agent configuration on a low-code canvas rather than source code in your repository.](https://www.uipath.com/platform/agentic-automation/agentic-ai/agent-builder)
- [Pooled budget: partial — It splits by phase: run-time consumption defaults to a zero tenant allocation and draws from the organisation pool, while the design-time AI and Agentic allowance is sized per seat grade and the docs say plainly it cannot be pooled.](https://docs.uipath.com/agents/automation-cloud/latest/user-guide/licensing)

[View UiPath Agent Builder](https://theagentsindex.com/uipath-agent-builder)

### 6. 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 Manus:**
- [Claude: yes — Native Anthropic adapter with a `Claude` model class, plus Claude via Bedrock, Vertex AI and Azure AI Foundry.](https://docs.agno.com/models/providers/native/anthropic/overview)
- [GPT: yes — OpenAI is the default model provider; both Chat Completions and Responses adapters ship, plus Azure OpenAI.](https://docs.agno.com/faq/default-model)
- [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)

**Trade-offs against Manus:**
- [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 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)

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

## Method

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