[FEATUE REQUEST] 200K is not enough. Please bring 1M token.
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## Environment
- [x] Anthropic API
- [ ] AWS Bedrock
- [ ] Google Vertex AI
- [ ] Other: <!-- specify -->
- Claude CLI version: 1.0.93
- Operating System: macOS
- Terminal: Claude Code
## Feature Request
Context window hard limit of 200K tokens severely restricts complex project workflows requiring extensive documentation, MCP tool
definitions, and multi-session state management.
## Current Limitation
- Hard limit: 200K tokens (110% = critical failure)
- MCP tools alone: 159.6K tokens (79.8% of total)
- Memory files: 19.5K tokens (9.8%)
- Remaining for actual work: ~15K tokens
## Use Case
Professional n8n workflow engineering with:
- Extensive business requirements documentation
- Complex MCP tool integrations (n8n, Supabase, GitHub, etc.)
- Multi-session project memory persistence
- Large codebase analysis and validation
## Requested Enhancement
Increase context window options to:
- 1M tokens (primary request)
- 500K tokens (minimum viable)
- User-configurable limits per project
## Business Impact
Current 200K limit forces constant /compact operations, breaking:
- Deep technical analysis workflows
- Multi-step validation processes
- Project continuity across sessions
- Professional workflow engineering tasks
## Similar Tools
- Gemini 1.5 Pro: 1M+ tokens ✅
## Expected Behavior
Context usage should scale to project complexity without forced interruptions at 200K token ceiling.
## Current Workaround
Frequent /compact operations with external memory storage - inefficient for professional workflows requiring continuous context.
This issue has 5 comments on GitHub. Read the full discussion on GitHub ↗