rightmemory-orchestrator

Solid

Use when the user explicitly chooses full RightMemory orchestration: conditionally retrieve relevant durable Memory or live Pursuit context, then submit task-state, durable-context, and explicit-correction candidates so the unified updater can maintain both document trees.

AI & Automation 9 stars 2 forks Updated today Apache-2.0

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Quality Score: 79/100

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100
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Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# RightMemory Orchestrator CLI ## Access Rules - The RightMemory root is `{{MEMORY_ROOT}}`; do not read or edit files there directly unless the user explicitly permits direct access. - Pick one stable session id for this agent conversation and reuse it for every retrieve and update call. ## Conditional Retrieval - Retrieve with `rightmemory retrieve --session <stable-session-id> "<memory need>"` when earlier context may materially improve the work. - Describe the context needed from the user's intent instead of blindly forwarding the user's message. - For factual, project, or domain context, retrieve when the conversation lacks background needed to work well; skip retrieval when the request is self-contained. - Retrieve preference, workflow, and behavior guidance more proactively when it will shape collaboration, implementation, verification, communication, or completion choices. Treat phase and topic changes as strong triggers. - Writing and Design correction M# collections are an exception: unless the user asks for them directly, retrieve their full contents only after an initial draft, design, or implementation direction exists. - Give the retrieve command up to 3 minutes to return. Await or poll that command; do not run a separate blocking wait, explore files, or advance the task while it is pending. - The retriever skips unchanged content already returned in this session. When the user needs matching content repeated, add `--include-returned` for that call; do not ch...

Details

Author
RightL
Repository
RightL/RightMemory
Created
2 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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