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fix: rebranding, see [docs/name-change.md](docs/name-change.md) for details

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Fahad
2025-12-04 18:11:55 +04:00
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docs/context-revival.md
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@@ -2,7 +2,7 @@
## **The Most Profound Feature: Context Revival After Reset**
**This powerful feature cannot be highlighted enough**: The Zen MCP Server implements a simple continuation system that seemingly transcends Claude's context limitations.
**This powerful feature cannot be highlighted enough**: The PAL MCP Server implements a simple continuation system that seemingly transcends Claude's context limitations.
## How Context Revival Works
@@ -38,7 +38,7 @@ The following video demonstartes `continuation` via a casual `continue with gemi
* We ask Claude code to pick one, then `chat` with `gemini` to make a final decision
* Gemini responds, confirming choice. We use `continuation` to ask another question using the same conversation thread
* Gemini responds with explanation. We use continuation again, using `/zen:continue (MCP)` command the second time
* Gemini responds with explanation. We use continuation again, using `/pal:continue (MCP)` command the second time
<div style="center">
@@ -51,20 +51,20 @@ The following video demonstartes `continuation` via a casual `continue with gemi
Here's how this works in practice with a modern AI/ML workflow:
**Session 1 - Claude's Initial Context (before reset):**
You: "Help me design a RAG system for our customer support chatbot. I want to integrate vector embeddings with real-time retrieval. think deeply with zen using 03 after you've come up with a detailed plan."
You: "Help me design a RAG system for our customer support chatbot. I want to integrate vector embeddings with real-time retrieval. think deeply with pal using 03 after you've come up with a detailed plan."
Claude: "I'll analyze your requirements and design a comprehensive RAG architecture..."
→ Uses [`thinkdeep`](../README.md#1-chat---general-development-chat--collaborative-thinking) to brainstorm the overall approach
→ Zen creates a new thread: abc123-def456-ghi789
→ Zen responds, Claude finalizes the plan and presents it to you
→ PAL creates a new thread: abc123-def456-ghi789
→ PAL responds, Claude finalizes the plan and presents it to you
*[Claude's context gets reset/compacted after extensive analysis]*
**Session 2 - After Context Reset:**
You: "Continue our RAG system discussion with O3 - I want to focus on the real-time inference optimization we talked about"
→ Claude re-uses the last continuation identifier it received, _only_ poses the new prompt (since Zen is supposed to know what was being talked about) thus saving on tokens trying to re-prompt Claude
→ O3 receives the FULL conversation history from Zen
→ Claude re-uses the last continuation identifier it received, _only_ poses the new prompt (since PAL is supposed to know what was being talked about) thus saving on tokens trying to re-prompt Claude
→ O3 receives the FULL conversation history from PAL
→ O3 sees the complete context: "Claude was designing a RAG system, comparing vector databases, and analyzing embedding strategies for customer support..."
→ O3 continues: "Building on our previous vector database analysis, for real-time inference optimization, I recommend implementing semantic caching with embedding similarity thresholds..."
→ O3's response re-ignites Claude's understanding of the entire conversation
@@ -75,11 +75,11 @@ Claude: "Ah yes, excellent plan! Based on O3's optimization insights and our ear
## Why This Changes Everything
**Before Zen MCP**: Claude's context resets meant losing entire conversation threads.
**Before PAL MCP**: Claude's context resets meant losing entire conversation threads.
Complex multi-step analyses were fragmented and had to restart from scratch. You most likely need to re-prompt Claude or to make it re-read some previously
saved document / `CLAUDE.md` etc - no need. Zen remembers.
saved document / `CLAUDE.md` etc - no need. PAL remembers.
**With Zen MCP**: Claude can orchestrate multi-hour, multi-tool workflows where:
**With PAL MCP**: Claude can orchestrate multi-hour, multi-tool workflows where:
- **O3** handles logical analysis and debugging
- **Gemini Pro** performs deep architectural reviews
- **Flash** provides quick formatting and style checks