Act on this, mostly signal
Tutorial adds context compaction to a from-scratch agent
What to do
Read the session compaction part if you build your own agent loop.
Why
It summarizes older turns while keeping the full transcript on disk.
What the research found
Part of a tutorial series building an AI agent from scratch; this part adds context compaction that summarizes older session turns while keeping the full transcript on disk.
Claims and how well the evidence supports them
- Automatic compaction starts after passing 80% of the max-context-tokens limit, which is about 19200 tokens with the default 24000 budget 99%
- Compaction splits at the latest user-turn boundary so tool calls and results stay paired 95%
- Full transcript stays on disk while older turns are summarized 98%
Evidence
- ruxu.dev https://ruxu.dev/articles/ai/build-an-ai-agent-sessions-2
Actionability rated medium.
Related coverage
Brief
Tutorial adds JSON session persistence to a basic Python AI agent
Part of a series. It adds a SessionStore, transcript preservation and atomic writes, with code in a companion repo.
- Signal
- 90
- Facts
- 78
- Hype
- 1