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coding agent config lifecycle manager — keeps your agents from forgetting your project","maintainers":[{"name":"mcprotein","email":"chss3339@gmail.com"}],"readme":"# anamnesis\n\n> **Portable project memory for AI coding agents.**\n> Keep Claude Code, Codex, and Cursor aligned without re-explaining the project every session.\n\n[![release checks](https://github.com/MCprotein/anamnesis/actions/workflows/publish.yml/badge.svg)](https://github.com/MCprotein/anamnesis/actions/workflows/publish.yml)\n[![npm](https://img.shields.io/npm/v/@mcprotein/anamnesis?registry_uri=https%3A%2F%2Fregistry.npmjs.org)](https://www.npmjs.com/package/@mcprotein/anamnesis)\n[![license](https://img.shields.io/badge/license-MIT-blue)](LICENSE)\n\nEvery new agent session starts with partial memory. Tool switches make it worse:\nClaude Code, Codex, and Cursor expose different context, hook, skill, and command\nsurfaces.\n\nanamnesis keeps one project-owned source of truth and renders it onto each tool.\nIt manages context, ontology, active handoffs, Work state, hooks, and skills while\npreserving user-authored content.\n\n## Why use it\n\n- **Continue instead of re-briefing.** Active Work, requirements, evidence, and\n  handoffs survive compaction, new sessions, and agent switches.\n- **One configuration, multiple agents.** The same `Agentfile` drives Claude\n  Code, Codex, and Cursor integrations.\n- **Bounded context.** Startup stays compact; detailed facts remain retrievable\n  through source pointers.\n- **Safe updates.** Dry-runs, managed regions, drift detection, backups, and an\n  explicit executable-adapter gate protect local edits.\n- **Evidence-backed claims.** Public benchmarks use sanitized fixtures, retain\n  reproducible evidence, and state the limits of each comparison.\n\n## Retrieval batching: GPT-6 Astra / high\n\nThe **unreleased base v29 candidate** skips redundant discovery and batches\nalready-required retrieval with independent startup checks. Compared with the\nreleased 1.24.3 policy, known-source edits used **27.8% fewer total tokens** and\nmissing/stale-evidence edits used **36.4% fewer** in this controlled pilot.\nAll **22/22 executions** passed task correctness and original-source checks.\n\n![GPT-6 Astra high-reasoning pilot: token and elapsed-time changes for four scenarios; all 22 task and source checks passed](docs/benchmark-evidence/retrieval-batching-candidate/retrieval-batching-summary.svg)\n\n| Scenario | Paired runs | Mean total tokens | Mean elapsed time |\n| --- | ---: | ---: | ---: |\n| Known-source read | 3 pairs / 6 runs | -0.6% | +6.9% |\n| Known-source edit | 3 pairs / 6 runs | **-27.8%** | -25.6% |\n| Missing / stale evidence | 3 pairs / 6 runs | **-36.4%** | -5.2% |\n| Missing-path recovery holdout | 2 pairs / 4 runs | +0.4% | +4.0% |\n\n**Measured with `gpt-6-astra`, reasoning effort `high`; low was not tested.**\nChanges compare arithmetic means, including cached input tokens, and are not\nbilling savings. The retrieval engine is fixed at 1.24.3; only shared AGENTS\npolicy varies. Small fixtures, uncontrolled caches, and overlapping executions\nlimit generalization, especially timing. Native startup-hook efficiency and\nmulti-turn behavior are not measured. Required searches and source reads remain.\n\n[Results and limitations](docs/benchmark-evidence/retrieval-batching-candidate/README.md) ·\n[Raw measurements](docs/benchmark-evidence/retrieval-batching-candidate/results.json) ·\n[Rebuild chart without model calls](docs/benchmark-evidence/retrieval-batching-candidate/render-chart.py)\n\n<details>\n<summary>Earlier Astra studies — different baselines and metrics</summary>\n\n### Earlier Astra instruction-efficiency studies\n\nVersion 1.24 reduces Codex fallback context and repeated startup\nreads while preserving full procedures, source evidence and adapter permissions.\nIts read-only `anamnesis context audit-instructions` command reports instruction\nsize, recorded ownership, drift and literal duplicates; it does not automatically\nrewrite instructions or control model settings. See [usage and scope](docs/INSTRUCTION-AUDIT.md).\n\nA frozen Astra/high study passed all 66 executions. On fresh reserved tasks,\nmedian paired total tokens fell **18.2%**, while elapsed time rose **1.8%** within\nthe predeclared non-regression gate. Both arms used anamnesis with Work capture\nand Stop reminders disabled; this is not an on/off or whole-stack speed claim.\nA separate four-run Work completion follow-up measured **17.4% fewer total tokens**\nand **11.2% less time** versus its preceding repair, with correct state recovery.\nThat small, tuned comparison is not independent holdout evidence, and uncached\ninput increased 0.8%. Earlier Luna/Terra/Sol results above are separate studies.\n\n![Astra paired benchmark changes: fresh reserved tokens -18.2%, time +1.8%; separate tuned follow-up tokens -17.4%, time -11.2%](docs/benchmark-evidence/instruction-efficiency/astra-loop-2026-09-07/astra-summary.svg)\n\n| Study | Paired executions | Total tokens | Elapsed time |\n| --- | ---: | ---: | ---: |\n| V6 development | 9 pairs / 18 runs | -26.7% | -2.3% |\n| V6 fresh reserved | 24 pairs / 48 runs | -18.2% | +1.8% |\n| V8 vs V7 tuned follow-up | 2 pairs / 4 runs | -17.4% | -11.2% |\n\nChanges are medians of per-pair ratios, not ratios of aggregate totals.\nReserved tasks were outcome-unseen, not content-blind. The full report discloses\nthe post-measurement evaluator correction and preserves failed revisions.\n[Rebuild the chart](docs/benchmark-evidence/instruction-efficiency/astra-loop-2026-09-07/render-chart.py)\nfrom the checked-in JSON; this does not execute models.\n\n[Full Astra results, failed revisions and limitations](docs/benchmark-evidence/instruction-efficiency/astra-loop-2026-09-07/README.md)\n\n</details>\n\n## Measured Work continuity\n\nThe latest published real-Codex benchmark compares Work disabled and enabled\nacross six continuity scenarios and nine paired repetitions per scenario.\nCorrection turns are charged to the condition that needed them.\n\n![Work continuity real Codex A/B summary](docs/benchmark-evidence/work-agent-ab/work-agent-ab-summary.svg)\n\n| Published strict 9-pair benchmark | Change with Work |\n| --- | ---: |\n| Average total tokens/run | **-50.30%** |\n| Average elapsed time/run | **-44.19%** |\n| Status recall | **72.59% → 100%** |\n| Re-explained requirements/run | **17.11 → 0.33** |\n\nBoth conditions retained 100% completion and gate correctness; Work also reached\n100% requirement and summary recall with no hallucinated or duplicate\nrequirements. The strict contract passed all six scenarios (108 initial calls,\n153 including bounded corrections). See the\n[scenario evidence](docs/benchmark-evidence/work-agent-ab/README.md) and\n[methodology](docs/AGENT-TASK-BENCHMARKS.md).\n\nThe same six-scenario diagnostic (`n=3`) reproduced the overall direction on\ntwo additional models:\n\n| Cross-model diagnostic | Tokens/run | Elapsed/run | Enabled status recall | Token pair wins |\n| --- | ---: | ---: | ---: | ---: |\n| `gpt-5.6-terra` | **-50.80%** | **-44.56%** | **100%** | **18/18** |\n| `gpt-5.6-sol` | **-53.76%** | **-50.97%** | **100%** | **18/18** |\n\nScenario variance remains material — Terra delegation/review was nearly flat\nat -0.19% while Sol reached -50.02% — so Luna `n=9` remains the strict baseline\nand both `n=3` runs are directional cross-model evidence.\n\n![Luna strict plus Terra and Sol diagnostic token savings by scenario](docs/benchmark-evidence/work-agent-ab/work-agent-ab-cross-model.svg)\n\n[Terra diagnostic evidence](docs/benchmark-evidence/work-agent-ab/terra-3pair/README.md) ·\n[Sol diagnostic evidence](docs/benchmark-evidence/work-agent-ab/sol-3pair/README.md)\n\n### Parallel-agent benchmark\n\nThe latest bounded Luna diagnostic measured three paired, externally\norchestrated pipelines: leader planning, two concurrent children,\nauthoritative review, and final integration. Both conditions were exact in all\nthree pairs, while Work reduced paired total-token p50 by **1.19%** (90%\nbootstrap upper bound **-0.98%**), combined-child tokens by **2.78%**, and\nreviewer tokens by **0.27%**. Critical-path p50 was **+0.64%** and passed its\npreregistered non-regression gate. The 24-call harness, quality, stage-cost,\nlatency, and diagnostic-efficiency contracts all passed. This is a small,\nscenario-bounded efficiency signal—not a release-quality or general native\nsubagent performance claim.\n\n![Parallel-agent Luna V10 diagnostic](docs/benchmark-evidence/work-parallel-agent-ab/v10-shadow/work-parallel-agent-ab-summary.svg)\n\n[V10 diagnostic evidence](docs/benchmark-evidence/work-parallel-agent-ab/v10-shadow/README.md) ·\n[Parallel-agent methodology and historical evidence](docs/benchmark-evidence/work-parallel-agent-ab/README.md)\n\n## Quickstart\n\nInstall the scoped package (`anamnesis` without the scope is an unrelated npm\npackage):\n\n```bash\nnpm install -g @mcprotein/anamnesis\n```\n\nPreview first-time setup in a project:\n\n```bash\ncd /path/to/your/project\nanamnesis init --dry-run\n```\n\nInstall the managed project context and native agent adapters:\n\n```bash\nanamnesis init --tools all --allow-exec-adapters\nanamnesis status\n```\n\nNative hooks, commands, skills, and Cursor rules are written only when\n`--allow-exec-adapters` is explicit. Content-only setup remains the default.\n\nSuccessful initialization registers the project in a private user-level index.\nPreview every registered project, or upgrade the CLI and apply only safe plans:\n\n```bash\nanamnesis projects plan\nanamnesis upgrade --apply\n```\n\nMoved, replaced, conflicting, or user-modified projects are skipped and\nreported independently. Project-local Agentfiles and manifests remain\nauthoritative; the global index is only a discovery and trust-preference layer.\n\nNew installs materialize an active Work profile: adaptive continuity\nbriefings, advisory independent review, automatic delegation assessment, and\nbounded repository-side prompt-capture policy. Existing projects retain their\ncurrent behavior; explicit opt-out and trust-boundary details are in the\n[user guide](docs/USER-GUIDE.md#active-work-defaults-and-opt-out).\n\nRunning `anamnesis` prints the short first-run guide. Use `anamnesis --help` for\ngrouped help and `anamnesis --help --all` for the complete command reference.\nDaily human output is compact and verdict-first; add `--verbose` to supported\nlifecycle, health, hooks, and Work commands for full diagnostic provenance.\nStructured `--json` output remains unchanged for automation.\n\n## What it manages\n\n```text\nyour-project/\n├── Agentfile                         # fragments, tools, and policy\n├── AGENTS.md                         # canonical managed context + your prose\n├── CLAUDE.md                         # Claude Code entrypoint\n├── .anamnesis/\n│   ├── manifest.json                 # drift and ownership evidence\n│   ├── ontology/                     # static, bootstrap, and enriched context\n│   ├── handoff/                      # active and archived handoffs\n│   └── work-units/                   # typed Work ledgers and projections\n├── .claude/                          # Claude Code adapters\n├── .codex/                           # Codex hooks, config, and skills\n└── .cursor/rules/                    # Cursor rules\n```\n\nManaged `AGENTS.md` sections use `<!-- anamnesis:region ... -->` anchors.\nContent outside those anchors remains yours. anamnesis is a context lifecycle\nmanager, not an application scaffolder; it does not generate project source code.\n\n## Core workflow\n\n```bash\nanamnesis init --dry-run              # preview first installation\nanamnesis apply --dry-run             # preview managed updates\nanamnesis apply                       # apply reviewed updates\nanamnesis status                      # inspect drift and continuity state\nanamnesis doctor                      # run integrity diagnostics\nanamnesis context query \"<terms>\"     # retrieve exact source pointers\nanamnesis context audit-instructions # inspect instruction size, ownership and duplicates\nanamnesis context resume              # render a compact resume bundle\nanamnesis work status --work <id>     # refold authoritative Work state\n```\n\nThe [user guide](docs/USER-GUIDE.md) covers setup choices, lifecycle commands,\ngeneration boundaries, fragments, capability mapping, and building from source.\n\n## Safety model\n\n- Executable agent surfaces require `--allow-exec-adapters`.\n- `apply --dry-run` previews managed writes.\n- User-modified or untracked files are not silently overwritten.\n- Backups are created before managed files are changed.\n- Work mutations use typed append-only evidence, expected-head checks, and\n  fail-closed review/delegation policy boundaries.\n\nSee [DESIGN.md](docs/DESIGN.md) and [WORK-UNIT-DESIGN.md](docs/WORK-UNIT-DESIGN.md)\nfor the detailed trust and execution model.\n\n## Documentation\n\n- [Documentation map](docs/README.md) — current guides, proposals and historical records\n\n- [User guide](docs/USER-GUIDE.md) — setup, lifecycle, fragments, capabilities\n- [Work design](docs/WORK-UNIT-DESIGN.md) — requirements, evidence, policy, briefings\n- [Agent switching guide](docs/AGENT-SWITCHING-GUIDE.md) — move between supported agents\n- [Benchmarks](docs/BENCHMARKS.md) — evidence index and deterministic suites\n- [Work A/B evidence](docs/benchmark-evidence/work-agent-ab/README.md) — scenario results and limitations\n- [Terra Work A/B diagnostic](docs/benchmark-evidence/work-agent-ab/terra-3pair/README.md) — three-pair cross-model evidence\n- [Sol Work A/B diagnostic](docs/benchmark-evidence/work-agent-ab/sol-3pair/README.md) — three-pair cross-model evidence\n- [Parallel-agent Luna benchmark](docs/benchmark-evidence/work-parallel-agent-ab/README.md) — held-out accuracy, cost, and latency gates\n- [Roadmap](docs/ROADMAP.md) — shipped and deferred work\n- [Contributing](CONTRIBUTING.md) — fragments and project development\n- [Changelog](CHANGELOG.md) — release history\n\n## License\n\nMIT — see [LICENSE](LICENSE).\n","readmeFilename":"README.md"}