Explainer
ما ذاكرة وكلاء الذكاء الاصطناعي؟ الذاكرة القصيرة والطويلة وسياق المشروع
ذاكرة وكيل الذكاء الاصطناعي هي المعلومات التي يستطيع الوكيل نقلها إلى المهام اللاحقة بدلاً من البدء من الصفر كل مرة. تخدم الذاكرة قصيرة الأجل المحادثة الحالية، وتحفظ الذاكرة طويلة الأجل الحقائق الدائمة، بينما يربط سياق المشروع ملفات العمل وقراراته ونتائجه.
نطاقات الذاكرة الثلاثة
| Scope | Use |
|---|---|
| Short-term memory | Current thread, tool results, and resumable work |
| Long-term memory | Durable preferences, rules, and lessons across sessions |
| Project context | Sources, decisions, artifacts, and dependencies for one outcome |
الذاكرة قصيرة الأجل: خيط العمل
Short-term memory is the active state of a task. Keep recent decisions, unresolved questions, and tool results that affect the current deliverable. Summarize repetitive history and mark failed attempts so the agent does not repeat them blindly.
الذاكرة طويلة الأجل: حقائق دائمة
Long-term memory should hold only stable, useful, expected, and properly scoped facts. Give each memory an owner, timestamp, correction path, and retention rule. Do not turn a one-off request into a permanent preference or store secrets by default.
سياق المشروع: ذاكرة بحدود واضحة
Project context keeps a brief, source files, approved facts, feedback, owners, and deadlines together. A project-specific claim should not silently become a global user preference. When a source changes, mark dependent work stale and show the provenance.
الاسترجاع والحوكمة
Storing information is separate from retrieving it. Check scope, relevance, freshness, authority, and conflicts before adding a memory to the current context. Current instructions and approved project sources should normally outrank old inferences.
إخفاقات شائعة
- Remembering everything increases noise, cost, and privacy exposure.
- Wrong namespaces leak a project fact into unrelated work.
- Stale memories override current instructions without dates or precedence.
- Invisible memories cannot be corrected or deleted.
- Memory is evidence, not a guarantee of truth.
كيف تلائم Ottermind؟
Ottermind is an AI agent workspace that keeps goals, files, links, decisions, intermediate work, and follow-up tasks connected around their project. Use a bounded project, name the source of truth, review context before consequential output, and keep correction and forgetting available.
أسئلة شائعة
Is chat history the same as agent memory?
No. Chat history is one source of short-term context. Agent memory also includes durable facts, summaries, checkpoints, and project records.
Does more memory make an agent smarter?
Not automatically. Better memory is scoped, fresh, traceable, editable, and relevant to the current task.
الخلاصة
Short-term memory keeps a task moving, long-term memory carries carefully selected durable facts, and project context keeps one body of work coherent. Make the boundaries visible and design correction and forgetting from the start.
Research and disclosure: We reviewed the OpenAI Agents SDK memory guide, OpenAI Sessions guide, OpenAI context guide, and LangGraph memory documentation on August 27, 2026. These are implementation references, not an Ottermind benchmark.
