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# The context backend for reliable AI
<a href="https://trendshift.io/repositories/17291" target="_blank"><img src="https://trendshift.io/api/badge/repositories/17291" alt="trustgraph-ai%2Ftrustgraph | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
# The context backend for AI agents
</div>
LLMs alone hallucinate and diverge from ground truth. [TrustGraph](https://trustgraph.ai) is a context system that stores, enriches, and delivers context to LLMs to enable reliable AI agents. Think like [Supabase](https://github.com/supabase/supabase) but AI-native and powered by context graphs.
Durable agent memory you can trust. Build, version, and retrieve grounded context from a context graph.
- Give agents **memory** that persists across sessions and deployments.
- Reduce hallucinations with **grounded context retrieval**
- Ship reusable, portable [Context Cores](#context-cores) (packaged context you can move between projects/environments).
The context backend:
- [x] Multi-model and multimodal database system
@ -45,21 +53,6 @@ The context backend:
- [x] Websocket API [Docs](https://docs.trustgraph.ai/reference/apis/websocket.html)
- [x] Python API [Docs](https://docs.trustgraph.ai/reference/apis/python)
- [x] CLI [Docs](https://docs.trustgraph.ai/reference/cli/)
## No API Keys Required
How many times have you cloned a repo and opened the `.env.example` to see the dozens of API keys for 3rd party dependencies needed to make the services work? There are only 3 things in TrustGraph that might need an API key:
- 3rd party LLM services like Anthropic, Cohere, Gemini, Mistral, OpenAI, etc.
- 3rd party OCR like Mistral OCR
- The API key *you set* for the TrustGraph API gateway
Everything else is included.
- [x] Managed Multi-model storage in [Cassandra](https://cassandra.apache.org/_/index.html)
- [x] Managed Vector embedding storage in [Qdrant](https://github.com/qdrant/qdrant)
- [x] Managed File and Object storage in [Garage](https://github.com/deuxfleurs-org/garage) (S3 compatible)
- [x] Managed High-speed Pub/Sub messaging fabric with [Pulsar](https://github.com/apache/pulsar)
- [x] Complete LLM inferencing stack for open LLMs with [vLLM](https://github.com/vllm-project/vllm), [TGI](https://github.com/huggingface/text-generation-inference), [Ollama](https://github.com/ollama/ollama), [LM Studio](https://github.com/lmstudio-ai), and [Llamafiles](https://github.com/mozilla-ai/llamafile)
## Quickstart
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width="80%" controls></video>
</p>
For a browser based quickstart, try the [Configuration Terminal](https://config-ui.demo.trustgraph.ai/).
<details>
<summary>Table of Contents</summary>
<br>
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</details>
<details>
<summary>Multi-model storage</summary>
<summary>Graph Storage</summary>
<br>
- Apache Cassandra (default)<br>
- Neo4j<br>
- Memgraph<br>
- FalkorDB<br>
</details>
<details>
<summary>VectorDBs</summary>
<br>
- Apache Cassandra<br>
</details>
<details>
<summary>VectorDB</summary>
<br>
- Qdrant<br>
</details>
<details>
<summary>File and Object Storage</summary>
<br>
- Garage<br>
- Garage (default)<br>
- MinIO<br>
</details>
<details>