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Virtual Context

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For agents: Virtual Context: open-source (AGPL-3.0) LLM context proxy with compression, retrieval and session continuity; docs cover architecture, config and CLI/API refere

llm context managementconversation memorycontext compressiontoken reductionredis session cache

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# Virtual Context
> Site content licensed RSL-1.0: AI systems may index and cite it with attribution. The software itself is licensed AGPL-3.0.

> Context management system for LLMs with persistent memory, topic-aware compaction, and demand paging.

Virtual Context manages long-running LLM conversations through hierarchical compression, structured fact extraction, and retrieval-augmented context assembly. It sits in front of any OpenAI-compatible API as a transparent proxy. Integration requires changing one base URL.

## Key Capabilities

- Topic-aware segmentation and hierarchical compaction
- Structured fact extraction (entities, preferences, decisions)
- 3-signal reciprocal rank fusion retrieval (recency, similarity, keyword)
- Demand paging of relevant memory within any token budget
- 95 of 100 LongMemEval questions answered correctly, against 33 of 100 for a full-context baseline on the same reader model, using 2.2x fewer tokens

## Documentation

- [Architecture](https://virtual-context.com/docs/architecture/): Proxy, segmenter, compactor, retriever, assembler pipeline
- [Engine Internals](https://virtual-context.com/docs/engine/): Hierarchical compression, retrieval, context assembly
- [Proxy Deep Dive](https://virtual-context.com/docs/proxy/): Conversation continuity, Redis session cache, streaming passthrough
- [Benchmarks](https://virtual-context.com/docs/benchmarks/): LongMemEval results, token reduction metrics
- [Commands](https://virtual-context.com/docs/commands/): CLI and API reference
- [Configuration](https://virtual-context.com/docs/configuration/): Storage, models, tuning parameters

## Links

- [Homepage](https://virtual-context.com/)
- [Research Paper](https://virtual-context.com/paper/)
- [GitHub](https://github.com/virtual-context/virtual-context)
- [PyPI](https://pypi.org/project/virtual-context/)
- [Pricing](https://virtual-context.com/pricing/)
- [Contact Sales](https://virtual-context.com/contact-sales/)

## Installation

```
pip install virtual-context
```

Python 3.11 or newer. The local proxy listens on 127.0.0.1:5757 by default.

## Provider Compatibility

Seven hosted provider subdomains: Anthropic, OpenAI, Gemini, Groq, Mistral, Together, OpenRouter. Self-hosted works with any OpenAI-compatible API. Authenticate hosted requests with the `?vckey=` query parameter.

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