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OpenAGI
For agents: OpenAGI v0.1.0 docs: framework for building AI agents with planner, workers, LLM, memory, vector store and tools; includes installation and quickstart guides.
ai agentsagent frameworkvector storellm componentsquickstart
- Authority
- 59 reach 13 · trust 10 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://openagi.aiplanet.com/llms.txt
- llms-full.txt
- https://openagi.aiplanet.com/llms-full.txt
- Sections
- 2
- Links
- 38
- Size
- 4283 bytes
- Popularity rank
- #52952
- Registered
- 2013-10-13
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- AI agents and MCP
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- Inferred actions
- Read documentation About these labels
- Audience
- developers · agents can: read docs · en
- First seen
- 2026-10-18T15:08:56.461Z
- Last checked
- 2026-10-25T12:26:25.189Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T12:26:22.406Z. Cached copy · Source on aiplanet.com
# OpenAGI
## v0.1.0
- [📝Introduction](https://openagi.aiplanet.com/v0.1.0-1/getting-started/readme.md)
- [Installation](https://openagi.aiplanet.com/v0.1.0-1/getting-started/installation.md)
- [Quickstart](https://openagi.aiplanet.com/v0.1.0-1/getting-started/quickstart.md): Lets build our first Agent use cases.
- [Admin](https://openagi.aiplanet.com/v0.1.0-1/components/admin.md)
- [Workers](https://openagi.aiplanet.com/v0.1.0-1/components/workers.md)
- [Planner](https://openagi.aiplanet.com/v0.1.0-1/components/planner.md)
- [LLM](https://openagi.aiplanet.com/v0.1.0-1/components/llm.md)
- [Action](https://openagi.aiplanet.com/v0.1.0-1/components/action.md)
- [Tools](https://openagi.aiplanet.com/v0.1.0-1/components/action/tools.md)
- [Memory](https://openagi.aiplanet.com/v0.1.0-1/components/memory.md)
- [VectorStore](https://openagi.aiplanet.com/v0.1.0-1/components/vectorstore.md)
- [ChromaStorage](https://openagi.aiplanet.com/v0.1.0-1/components/vectorstore/chromastorage.md)
- [Movie Recommender Agent](https://openagi.aiplanet.com/v0.1.0-1/use-cases/movie-recommender-agent.md)
- [JobSearch Agent](https://openagi.aiplanet.com/v0.1.0-1/use-cases/jobsearch-agent.md)
- [Blog Writing Agent](https://openagi.aiplanet.com/v0.1.0-1/use-cases/blog-writing-agent.md): This example shows how to create an OpenAGI agent with three workers (Research Analyst, Tech Content Strategist, Review and Editing Specialist) to autonomously research, write, and review a blog post.
- [News Agent](https://openagi.aiplanet.com/v0.1.0-1/use-cases/github-agent.md): Staying current with the latest developments is crucial, especially in the fast-paced world of technology and artificial intelligence. A News Agent can help you stay informed by gathering the latest n
- [Itinerary Planner](https://openagi.aiplanet.com/v0.1.0-1/use-cases/market-agent.md): This example uses OpenAGI to create trip itineraries by leveraging an OpenAI model through an Admin agent, with results displayed using Markdown via the rich library.
- [Special Mentions](https://openagi.aiplanet.com/v0.1.0-1/acknowledgment/special-mentions.md)
- [Contact Us](https://openagi.aiplanet.com/v0.1.0-1/contact-us.md)
## OpenAGI
- [📝Introduction](https://openagi.aiplanet.com/getting-started/readme.md)
- [🔧 Installation](https://openagi.aiplanet.com/getting-started/installation.md)
- [🚀 Quickstart](https://openagi.aiplanet.com/getting-started/quickstart.md): Lets build our first Agent use cases.
- [👨💼 Admin](https://openagi.aiplanet.com/components/admin.md)
- [👷 Workers](https://openagi.aiplanet.com/components/workers.md)
- [🗂 Planner](https://openagi.aiplanet.com/components/planner.md)
- [🧠 LLM](https://openagi.aiplanet.com/components/llm.md)
- [🔧 Action](https://openagi.aiplanet.com/components/action.md)
- [🛠️ Tools](https://openagi.aiplanet.com/components/action/tools.md)
- [🧠 Memory](https://openagi.aiplanet.com/components/memory.md)
- [📦 VectorStore](https://openagi.aiplanet.com/components/vectorstore.m
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