CrewAI lets developers coordinate autonomous agents that take on different roles.
Open source
24 alternativesNous
Nous combines AI chat, autonomous agents, developer agents, and chatbots in a TypeScript platform.
About Nous
Nous, presented as TypedAI on its repository homepage, is an open-source, TypeScript-first platform for building and running autonomous AI agents, LLM-based workflows and chatbots. It includes a code editing agent, a software engineer agent that works from a ticket to a merge request, and a pull request review agent that posts line-level comments on GitLab merge requests. Other components include an AI chat interface, a Slack chatbot, CLI tools and a web UI.
Key features
- Autonomous agents with planning, memory and sandboxed generated-code execution
- Software developer agents for code editing and ticket-to-pull-request workflows
- Pull request review agent that comments on GitLab merge requests
- AI chat interface, Slack chatbot, CLI and web UI
- Supports OpenAI, Anthropic, Gemini, Ollama, OpenRouter and other LLM services
- Human-in-the-loop settings for budget control, agent questions and error handling
Best for: TypeScript developers and teams that want an open-source base for running agents, code-related workflows and chatbots against their choice of LLM provider.
Good for
- Open source and written for the TypeScript ecosystem
- Works with many LLM services, including local options such as Ollama
- Can run locally or be deployed to the cloud with multi-user/SSO
Watch out for
- No pricing information is given in the source
- Relies on external LLM services, so prompts and data are sent to those providers
Nous at a glance
- Website
- github.com/TrafficGuard/nous
- Category
- AI & Machine Learning › AI Agent Frameworks
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Nous FAQ
Which LLM services can it use?
The project lists OpenAI, Anthropic (native and Vertex), Gemini, Groq, Fireworks, Together.ai, DeepSeek, Ollama, Cerebras, SambaNova, OpenRouter and X.ai.
How can it be run?
The command-line script runs locally, while the Docker variant runs isolated for sandboxing. It can also be deployed on the cloud with multi-user and SSO support.
What tools and integrations are available?
Callable tools include Filesystem, Jira, Slack, Perplexity, Google Cloud, GitLab and GitHub, with schemas auto-generated from source code.
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