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@@ -21,7 +21,9 @@ Alice fixes that.
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It provides a **local-first memory and continuity engine** for capture, recall, resumption, open-loop tracking, and correction-aware, trust-aware memory, so you do not have to rebuild context from scratch every time work resumes.
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**Works via CLI, MCP, OpenClaw import, Hermes integration, and local-first workflows.**
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**Bring your own models, keep one continuity layer.**
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**Works across local, self-hosted, enterprise, and external-agent workflows via CLI, MCP, provider runtime, OpenClaw import, and Hermes integration.**
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## Current phase
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-`P11-S2` Ollama + llama.cpp Adapters is shipped
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-`P11-S3` vLLM Adapter + Self-Hosted Performance Path is shipped
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-`P11-S4` Model Packs Tier 1 is shipped
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-`P11-S5` Azure Adapter + AutoGen Integration is the active sprint
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-later Phase 11 work adds tier-2 packs and launch-clarity assets
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-`P11-S5` Azure Adapter + AutoGen Integration is shipped
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-`P11-S6` Model Packs Tier 2 + Launch Clarity Assets is the active sprint
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- Historical planning and control docs: [docs/archive/planning/2026-04-08-context-compaction/README.md](docs/archive/planning/2026-04-08-context-compaction/README.md)
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## Why Alice exists
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Alice Core runs locally and exposes the same continuity semantics through the CLI and MCP, so you can use it with your own workflows instead of being locked into a closed assistant product.
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### Swap providers, not behavior
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Alice is now model-flexible.
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You can switch or standardize model backends across local, self-hosted, enterprise, and external-agent environments without rewriting Alice's continuity, memory, approval, or provenance behavior.
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## Use Alice with your existing agents
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Alice is designed to be a **continuity layer**, not a closed assistant silo.
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-**Hermes integration paths**
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-**Hermes external memory provider**
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-**Provider runtime abstraction for workspace-scoped model/provider integration**
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-**Local, self-hosted, enterprise, and external-agent deployment paths**
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- imported workflow data from Markdown and ChatGPT exports
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That means you can use Alice to upgrade an existing agent stack instead of rebuilding everything around a new runtime.
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That means you can use Alice as shared continuity infrastructure across providers and frameworks instead of rebuilding memory behavior per runtime.
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## What ships today
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- shared explainability across recall, resume, open-loop review, and explain surfaces
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- scheduled archive maintenance, ops status reporting, and failure alerting
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- Hermes external memory provider for always-on continuity prefetch and Alice memory tools inside Hermes
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- provider runtime abstraction with workspace-scoped provider registration, capability snapshots, OpenAI-compatible base adapter, local Ollama/llama.cpp adapters, and Azure adapter support
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- provider runtime abstraction with workspace-scoped provider registration, capability snapshots, OpenAI-compatible base adapter, local Ollama/llama.cpp, self-hosted vLLM, enterprise Azure, model packs, and external-agent integration paths
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- importers for OpenClaw, Markdown, and ChatGPT exports
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