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fidelity-ai-workspace/core/README.md

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# AI Workspace Core
Reusable operating layer for AI-assisted professional workspaces.
The core is project-independent. It defines how an AI agent should maintain file-based memory, ingest communication evidence, draft recurring updates, and adjust its own commands, prompts, and skills when reusable behavior changes.
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## Core Responsibilities
- Maintain operational memory across sessions
- Separate imported evidence from promoted memory
- Provide reusable command and prompt patterns
- Support project profiles without embedding project-specific facts in the core
- Keep tooling behavior editable by the agent when the user corrects recurring output
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## Project Profiles
Each real project should provide a profile under `profiles/<project>/`.
A profile declares:
- project name and audience
- active communication sources
- ticket/work-item system
- manager or stakeholder mapping
- domain-specific context files
- enabled commands and skills
The core should never require a specific company, codebase, manager, channel name, ticket prefix, or programming stack.
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## Memory Layers
- `daily`: facts from a specific workday
- `state`: current active focus and near-term constraints
- `work-items`: canonical memory for active units of work
- `stable-context`: durable system, domain, process, or architecture knowledge
- `people`: role, stakeholder, and collaboration memory
- `decisions`: confirmed decisions with ongoing impact
- `tooling-behavior`: reusable rules that change commands, prompts, skills, or agent behavior
See `core/memory/operational-memory.md` for the detailed rules.
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## Integration Model
Integrations extract evidence. They do not decide what becomes memory.
- live communication connectors write recent evidence to `ai/inbox/`
- historical archive connectors write selected evidence to `scripts/<source>/generated/`
- the agent promotes only high-confidence, project-relevant facts into memory
See `core/integrations/communication-model.md` for the reusable connector contract.
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## Knowledge Navigation
Optional navigation layers such as Obsidian should read the same Markdown files instead of copying memory into a second store.
See `core/integrations/obsidian-model.md` for the recommended vault model.
The project-agnostic memory interface lives in `scripts/memory/` and is documented in `core/integrations/memory-vault-model.md`. Agents should use that interface for note creation, vault search, Base queries, and health checks, while still editing Markdown directly for precise curation.