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termyte

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SUMMARY

Termyte is a local execution and continuity layer for coding agents. It records agent execution, preserves evidence, maintains authoritative task state, and supplies relevant state and experience to later sessions.

README.md

Termyte

Termyte helps coding agents remember what happened in a repository.

It runs locally, records agent sessions, keeps useful decisions and task progress, and makes that history available to later sessions. A local Viewer lets you inspect the captured work.

Install

npm install -g termyte
termyte init
termyte viewer

termyte init connects Termyte to Claude Code, Codex, or OpenCode. You can use an agent's existing login, an OpenAI-compatible API, or capture events without creating memories.

Termyte stores its configuration and SQLite database in ~/.termyte.

Common commands

termyte init
termyte viewer [--no-open]
termyte doctor [--json]
termyte task <create|show|add-step|verify-step|checkpoint|resume|handoff> [options]
termyte uninstall
termyte help

Use termyte doctor to check the database, hooks, background work, and recent traces. Use termyte viewer to inspect sessions, tasks, memories, context, and failures.

For task continuity:

termyte task create --repo <repo-id> --title "Fix login" --objective "Restore login"
termyte task add-step --task <task-id> --title "Reproduce failure" --position 1 --version 1
termyte task checkpoint --task <task-id> --workspace <repo-path> --platform codex
termyte task resume --task <task-id> --workspace <repo-path>

Configuration

The main environment variables are:

Variable Purpose
TERMYTE_DB SQLite database path
TERMYTE_LLM_BASE_URL OpenAI-compatible API address
TERMYTE_LLM_API_KEY API key
TERMYTE_LLM_MODEL Model used to process observations
TERMYTE_EMBED_MODEL_LOCAL Local model used for search
TERMYTE_AUTO_WORKER Set to 0 to disable the background worker

Development

npm install
npm run typecheck
npm test
npm run build
npm run verify

See docs/getting-started.md for setup details and docs/how-it-works.md for the processing flow.

Current limits

  • Redaction helps remove secrets but is heuristic; review captured data before sharing it.
  • OpenCode capture works, but automatic context injection is not supported.
  • Search ranking has not been calibrated against a public coding-agent dataset.
  • Retrieved history is context, not proof that it caused a later result.
  • Strong claims about productivity still need controlled paired-agent trials.

License

MIT. See LICENSE.

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