qredence/.fleet/context/skills/memory-system-guide
.fleet/context/skills/memory-system-guide/SKILL.md
--- title: AgenticFleet Memory System Guide tags: [memory, documentation, setup] author: AgenticFleet Architect created: 2024-12-29 --- # AgenticFleet Memory System Guide > **A comprehensive guide to using the Two-Tier Memory System (Local + Chroma Cloud) for persistent agent context.** ## Context **When to use this skill:** - You are a new agent or contributor starting a session. - You need to recall past architectural decisions or debugging solutions. - You want to save a new complex solu
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SKILL.md
- title:
- AgenticFleet Memory System Guide
- tags:
- [memory, documentation, setup]
- author:
- AgenticFleet Architect
- created:
- 2024-12-29
AgenticFleet Memory System Guide
A comprehensive guide to using the Two-Tier Memory System (Local + Chroma Cloud) for persistent agent context.
Context
When to use this skill:
- You are a new agent or contributor starting a session.
- You need to recall past architectural decisions or debugging solutions.
- You want to save a new complex solution for the future.
Prerequisites:
- Python dependencies installed:
uv pip install -r .context/scripts/requirements.txt - Chroma Cloud configured in
.context/.chroma/config.yaml.
Step-by-Step Guide
1. Initialization
At the start of a session, always hydrate the local context.
uv run python .fleet/context/scripts/memory_manager.py init
2. Recalling Information (Semantic Search)
To find information stored in Chroma Cloud:
uv run python .fleet/context/scripts/memory_manager.py recall "how to fix cors error"
This queries the semantic (facts) and procedural (skills) collections.
3. Learning (Saving New Skills)
When you solve a tough problem:
- Create a markdown file in
.context/skills/(e.g.,fix-auth-bug.md). - Use the
SKILL_TEMPLATE.mdstructure. - Index it into Chroma:
uv run python .context/scripts/memory_manager.py learn --file .context/skills/fix-auth-bug.md
4. Reflection (End of Session)
Summarize your work to keep the history clean.
uv run python .fleet/context/scripts/memory_manager.py reflect
Common Pitfalls
- Not Configuring Chroma: If
config.yamlis missing or has no keys, the system falls back to local-only (no search). - Committing Private Data: Never force-add files in
core/orskills/unless they are generic templates. - Forgetting to Learn: Solving a problem without running
/learnmeans the next agent has to solve it again.
Related Resources
AGENTS.md(System Instructions).fleet/context/MEMORY.md(Architecture Docs)
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