anomalyco / anomalyco/opencode
Perf: session bootstrap/compaction becomes very slow after ~50 rounds of conversation
Nobody has claimed this yet.
- Dominant language
- TypeScript
- Stars
- 209k
- Forks
- 27.5k
- PR merge metrics
- PR metrics pending
Description
Summary
After roughly 50 rounds of conversation, resuming / bootstrapping an existing session becomes noticeably slow — session load, restore, and compaction latency all balloon, and the degradation feels super-linear in transcript size.
Environment
- opencode (anomalyco/opencode), local CLI, Windows 11
- Long-lived sessions (50+ rounds), resuming from disk
Expected vs Actual
- Expected: load/resume time stays roughly proportional to transcript size; compaction runs in the background without blocking interaction.
- Actual: at ~50 rounds, resuming the session takes a long time; larger transcripts make load/compaction markedly slower.
Suggested areas to investigate
- Full-file transcript parsing on every resume (no incremental/streamed load)
- Compaction running synchronously in the interactive/init path instead of backgrounded
- No lazy hydration of large snapshots -> every resume re-parses the whole session
Acceptance criteria for a fix
- Session resume time scales near-linearly (or better) with transcript size
- Compaction is backgrounded / non-blocking
- No functional regression in session fidelity after compaction
Additional context
Long agent sessions are the main use case for this tool; this is a day-one DX pain point for anyone running long-lived conversations. Happy to provide a profile or minimal repro transcript on request.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files or tests are named in the report. Start by profiling session resume/load and compaction with a 50+ round transcript, focusing on full-file parsing, synchronous compaction, and snapshot hydration. Done means resume scales near-linearly, compaction does not block interaction, and session fidelity remains intact.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- cli, performance
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100