OSS_PR_STRATEGY.md

Headroom OSS PR Strategy

Goal

Contribute to popular LangChain ecosystem repos to demonstrate Headroom's value and drive adoption.

Target Repos (Ranked by Priority)

Priority 1: langchain-ai/how_to_fix_your_context

• What: LangChain's official repo of context management techniques
• PR: Add 06-context-compression.ipynb notebook showing Headroom as technique #6
• Why accept: They're curating techniques, not competing. Compression is genuinely different from pruning/summarization.
• Status: IN PROGRESS

Priority 2: langchain-ai/langgraph docs/cookbook

• What: Core LangGraph framework
• PR: Add compress_tool_messages pre-model hook example
• Issues it addresses: #3717 (ToolMessage overflow), #11405 (agent token limit), #2140 (127K tokens from plugin)
• Status: DONE — compress_tool_messages() and create_compress_tool_messages_node() in headroom/integrations/langchain/langgraph.py

Priority 3: langchain-ai/deepagents (~17K stars)

• What: LangChain's coding agent (like Claude Code but OSS)
• PR: Integrate Headroom as compression backend (they already claim "automatic compression")
• Status: TODO

Priority 4: langchain-ai/open-swe

• What: Async coding agent that resolves GitHub issues
• PR: Add optional Headroom compression for long-running tasks
• Status: TODO

Priority 5: assafelovic/gpt-researcher

• What: Autonomous research agent (explicitly cites token limits as motivation)
• PR: Add Headroom to compress scraped web content before synthesis
• Status: TODO

Priority 6: langchain-core — compress_messages utility

• What: Core LangChain library
• PR: Add compress_messages() alongside trim_messages()
• Status: TODO (hardest to land, highest impact)

Key Links

• how_to_fix_your_context
• LangGraph Issue #3717
• LangChain Issue #11405
• deepagents
• open-swe
• gpt-researcher