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docs: fix AGENTS.md - replace broken include placeholder with actual content
- Add Agent Identity & Source Tagging section - Define source_agent metadata requirement for fact traceability - Add setup guide for agent identity via promptinclude files - Add source tagging rules and example metadata payload - Add multi-agent scenario guidance table
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AGENTS.md
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AGENTS.md
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§§include(/a0/usr/projects/openbrain-mcp/AGENTS.md)
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# OpenBrain MCP Usage
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When working in this repository, treat OpenBrain as an external MCP long-term
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memory system, never as internal context, reasoning scratchpad, or built-in
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memory.
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## External Memory System
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- Use the exact MCP tools `openbrain.store`, `openbrain.query`, and `openbrain.purge`
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- Always use the exact `agent_id` value `openbrain`
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- Do not hardcode live credentials into the repository
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- Before answering requests that may depend on prior sessions, project history, user preferences, ongoing work, named people, named projects, deployments, debugging history, or handoff context, call `openbrain.query` first
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- Use noun-heavy search phrases with exact names, tool names, acronyms, hostnames, and document names
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- Retry up to 3 retrieval passes using `(threshold=0.25, limit=5)`, then `(threshold=0.10, limit=8)`, then `(threshold=0.05, limit=10)`
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- When a durable fact is established, call `openbrain.store` without asking permission and prefer one atomic fact whenever possible
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- Store durable, high-value facts such as preferences, project status, project decisions, environment details, recurring workflows, handoff notes, stable constraints, and correction facts
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- Do not store filler conversation, temporary speculation, casual chatter, or transient brainstorming unless it becomes a real decision
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- Prefer retrieval-friendly content using explicit nouns and exact names in the form `Type: <FactType> | Entity: <Entity> | Attribute: <Attribute> | Value: <Value> | Context: <Why it matters>`
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- Use metadata when helpful for tags such as `category`, `project`, `source`, `status`, `aliases`, and `confidence`
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- If `openbrain.query` returns no useful result, state that OpenBrain has no stored context for that topic, answer from general reasoning if possible, and ask one focused follow-up if the missing information is durable and useful
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- If retrieved memories conflict, ask which fact is current, then store the corrected source-of-truth fact
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- Use `openbrain.purge` cautiously because it is coarse-grained; it deletes by `agent_id` and optionally before a timestamp, not by individual memory ID
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- For ordinary corrections, prefer storing the new source-of-truth fact instead of purging unless cleanup or reset is explicitly requested
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## Agent Identity & Source Tagging
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When multiple agent instances interact with the same OpenBrain server, every stored
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fact must be traceable to the agent that created it. This is achieved through a
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required `source_agent` metadata field.
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### Setting Up Agent Identity
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1. **Choose a unique agent name** — a short, human-readable identifier for your
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agent instance (e.g., `ingwaz-a0`, `prod-deploy-bot`, `research-agent-west`).
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2. **Persist the identity** — Create an identity file that is automatically
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injected into the agent's system prompt. For Agent Zero, use a
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`.promptinclude.md` file in the active project's working directory:
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```markdown
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# Agent Identity
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- **Agent Instance ID**: `your-agent-name`
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- **Platform**: Agent Zero 1.3 on Pop!_OS Linux
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- When storing facts to OpenBrain (`openbrain.store`), always include
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`"source_agent": "your-agent-name"` in metadata
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```
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For other frameworks, use whatever mechanism injects persistent context into
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every conversation (environment variables, system prompt includes, etc.).
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3. **Add a prompt directive** — In the agent's role prompt, add:
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> Every `openbrain.store` call MUST include `"source_agent"` in metadata,
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> set to the Agent Instance ID defined in the identity file.
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### Source Tagging Rules
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- Every `openbrain.store` call **MUST** include `"source_agent": "<agent-id>"` in metadata
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- The `source_agent` value must match the Agent Instance ID exactly
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- The `agent_id` parameter (`openbrain`) is the shared namespace; `source_agent` in metadata identifies *who* stored the fact
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- When querying, use `source_agent` metadata to filter or attribute facts if needed
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### Example
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```json
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{
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"agent_id": "openbrain",
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"content": "Type: Decision | Entity: HetLife API | Attribute: auth-method | Value: JWT with refresh tokens | Context: Chosen over session cookies for mobile app support",
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"metadata": {
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"source_agent": "ingwaz-a0",
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"category": "project-decision",
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"project": "hetlife",
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"status": "active"
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}
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}
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```
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### Multi-Agent Scenarios
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| Scenario | Guidance |
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| Single agent instance | Still tag `source_agent` for future-proofing |
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| Multiple agents, same project | Each agent uses its own unique `source_agent` value |
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| Agent replacement / migration | New agent gets a new name; old facts remain attributed to the old agent |
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| Subordinate agents | Inherit the parent agent's `source_agent` value unless independently identified |
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