Clm

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opencode-clm
the agent that manages its own context

opencode-clm is an OpenCode plugin that lets the agent manage its own context: before each request the plugin writes the conversation to a file, the language model edits that file with its ordinary tools, and the edited version becomes its next input. OpenCode's stored session stays unchanged. It ports pi-clm, the Pi extension for the paper Context Language Models and its research codebase.

Install

opencode plugin opencode-clm        # this project: .opencode/opencode.json and .opencode/tui.json
opencode plugin -g opencode-clm     # global: opencode.json(c) and tui.json in ~/.config/opencode

The package holds two plugins: the server plugin (index.ts: mirror, edits, budget, /clm, /clm-compact) and the TUI plugin (tui.ts: the /clm panel). Install both: without the TUI plugin there is no panel, and each /clm command costs a model turn. opencode plugin writes the spec to both files. By hand, add it to both plugin lists; options go on the opencode.json entry only, and the TUI plugin reads them from there:

// opencode.json
{ "plugin": [["opencode-clm", { "budget": "64k" }]] }
// tui.json
{ "plugin": ["opencode-clm"] }

Quick start

command	what it does
/clm	open the panel: overview (context size per request + every accepted edit) input (what the next request contains) · edits (per-revision side-by-side diff)
/clm overview / input / edits / settings	open the panel on that page (timeline and edit also work); without the TUI plugin, print it as text
/clm status	a toast: on or off, revision, last request size, budget, fixed overhead, last outcome; mode notices-only when set
/clm config	open settings; /clm config <setting> <value> changes one, /clm config reset drops this session's changes
/clm-compact [instructions]	ask the model to compact its own context now; anything you add (e.g. what to keep) is passed along. The result shows on the edits page
/clm on / off / reset / path	enable, use raw context, discard the accepted revision, show the mirror's path
/clm budget [value]	show or change the budget, the same as /clm config budget: a share of the model window (default 50%), tokens (64k), or window
/clm config mode notices-only	keep the budget notices, reminders and overflow guard but take away editing: no mirror, no protocol prompt, raw history. For comparing "telling the model its budget" with "letting it edit"; /clm config mode edit switches back

With the TUI plugin, typed /clm … lines run in the TUI and cost no model turn, and Tab completes their subcommands, setting names and values; /clm reset is handed to the server plugin, also without a turn. The right of the session prompt shows clm <size> / <budget> · r<revision> (~ before the size marks an estimate the provider has not confirmed; clm off · r<revision> while CLM is off; clm notices-only <size> / <budget> · r<revision> in notices-only mode).

In the panel: 1–4 or Tab switch pages, ← → step through the overview's markers or the edits page's revisions, z zooms the chart, Enter opens the selection, r reloads, q closes.

Benchmarks

These numbers come from one machine (AMD Strix Halo, gfx1151, Vulkan) running Qwen3.8-Flash-Next (UD-IQ4_XS) through lemonade, on a llama.cpp build with an unreleased patch that ports the paper's Suffix Cache Reuse (an SGLang patch) to llama.cpp's hybrid models. On a stock server, an edit re-prefills everything after the first changed token.

GSM8K, 50 test problems, edited prompt. Each problem is primed with an 8-shot prompt holding three stale worked examples, then asked again with that block replaced by a one-line note, mirroring a CLM edit. Temperature 0, thinking off.

	reuse after the edit	full prefill
accuracy	48/50	49/50
median tokens prefilled	23	1,362
median prompt time	0.51 s	5.02 s
median request time	3.1 s	7.2 s

A live OpenCode session with opencode-clm 0.2.0 (48k budget, auto-compaction off) read and summarised every file under src/ and test/ of this repository and wrote its notes: 49 requests, 16 accepted edits, 0 rejected. The server reused cache after 23 edits and prefilled 11,240 tokens in total, where a prefix-only cache would have prefilled 214,585 (95% less); requests of 20–48k tokens prefilled 34–3,523 tokens each.

Nine agent tasks in OpenCode (find and fix, opencode-clm 0.3.0, 1 run each), CLM at a 32k budget vs CLM off: both solved 9/9; CLM took 55.5 s per task vs 91.3 s and prefilled 2,868 tokens vs 7,317 on average. CLM accepted only 1 edit in 9 runs because no task came near the budget, so most of the gain looks behavioural: told its budget, the model makes fewer tool calls. One CLM run read files outside its workspace and is not comparable.

Flash-Next was not trained for CLM, so it makes more edit mistakes than the paper's trained models. Hosted APIs are untested.

Docs

• How it works — the mirror, what runs without the model, the panel, model and server support, safety.
• Configuration — every setting (editing, budget, reserve, reminders, reminder-cooldown, gate, guard, compaction, cap, steering, mode, one-tool, trailer, compact-prompt, reasoning), plugin options and environment variables.
• Architecture — modules, session files, design notes, known limitations.
• Development — setup, checks, the integration suites, releasing.

Citation

If you use opencode-clm in your research, please cite Context Language Models:

@article{shao2026context,
  title   = {Context Language Models},
  author  = {Shao, Rulin and Shen, Shannon Zejiang and Yin, Junjie Oscar and Li, Yuetai and
             Wang, Minheng and Ivison, Hamish and Poovendran, Radha and Lambert, Nathan and
             Xiao, Teng and Lewis, Mike and Yih, Wen-tau and Zettlemoyer, Luke and Koh, Pang Wei},
  journal = {arXiv preprint arXiv:2609.37725},
  year    = {2026}
}

Credits

• pi-clm 1.0.0 (MIT, Copyright 2026 Emanuel Casco): the design and most of the code derive from it, the /clm panel included, and most model-facing text is adapted from it. NOTICE lists the files.
• facebookresearch/context-language-models (CC BY-NC 4.0): this package copies no text from it; the fit / shrink edit gate and the default 25/50/75% reminder steps follow its harness design. This package is not licensed under CC BY-NC and is not endorsed by its authors.
• Claude Code (Claude Opus) wrote the code and documentation; the maintainer has not hand-reviewed them.

License

MIT. See LICENSE, which includes the pi-clm notice, and NOTICE.