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memshelf-mcp

Put your agent's memory on a shelf, hand it the index.

PyPI Python License: MIT Docs Sibling: docshelf

                              _          _  __
 _ __ ___   ___ _ __ ___  ___| |__   ___| |/ _|
| '_ ` _ \ / _ \ '_ ` _ \/ __| '_ \ / _ \ | |_
| | | | | |  __/ | | | | \__ \ | | |  __/ |  _|
|_| |_| |_|\___|_| |_| |_|___/_| |_|\___|_|_|
  ____________________________________________
 | INDEX >> | E-01 | E-02 | E-03 | E-04 | ... |
 |__________|______|______|______|______|_____|
        memory shelves for AI agents

What this is

Long-running agent sessions burn tokens re-sending history and lose detail to lossy auto-compaction. memshelf applies the docshelf pattern — tiny index in context, bodies fetched on demand — to the agent's own working memory:

  1. Closed conversation topics, research dumps, and bulky tool output are offloaded to a local shelf as Markdown episodes.

  2. Each episode carries an LLM-written, contract-validated digest that preserves decisions, rejected alternatives, artifacts, and open threads.

  3. The agent keeps only INDEX.md (kilobytes) + digests in context and recalls exact sections via INDEX → SUBINDEX navigation over MCP.

Positioning in one sentence: claude-mem's loop, git's substrate, docshelf's navigation — episodic memory you can grep, diff, review, and carry between hosts. Private and local by default: the standard storage mode is a local git repo with no remote configured. The tool is public; the memory never is.

Related MCP server: hmem

Measured, not promised

One week of dogfooding on the live shelf — full numbers and methodology in docs/demo.md:

Measure

Result

Episodes on the shelf

34

Standing cost in every session (INDEX + digests)

~8.6K tokens

Shelved mass those episodes replace

~1.9M tokens — ≈220 : 1

One question answered from memory

~1.8K tokens (INDEX + one episode)

Recall test: fresh agent, INDEX path only

5 / 5 — zero misses, zero over-fetch

Tokens are counted as chars/4 everywhere, so the ratios are estimator-independent; absolute counts move with the tokenizer.

Quick start

As an MCP server:

# Claude Code
claude mcp add memshelf -- uvx memshelf-mcp
// Claude Desktop (claude_desktop_config.json)
{
  "mcpServers": {
    "memshelf": { "command": "uvx", "args": ["memshelf-mcp"] }
  }
}

As a Claude Desktop extensionadapters/claude-desktop/: an .mcpb bundle installed from Settings → Extensions, with a Default shelf setting so calls need not repeat the path. Nothing has to be installed alongside it — not even Python.

As a Claude Code pluginadapters/claude-code/: a /shelve skill plus SessionStart / SessionEnd / PreCompact hooks.

Or from the shell (pip install memshelf-mcp, Python ≥ 3.10) — the same loop, no MCP:

memshelf init   --shelf ~/my-shelf --name "My working memory"
memshelf shelve --shelf ~/my-shelf --slug 2026-07-23-topic --kind topic \
  --digest "What was decided, what was rejected and why, what stays open." \
  --section "Decisions=What was decided, and what was rejected instead — one line each."
memshelf recall --shelf ~/my-shelf --id 2026-07-23-topic --section Decisions --log
memshelf stats  --shelf ~/my-shelf   # claimed + realized savings
memshelf doctor --shelf ~/my-shelf   # exit 1 on integrity errors

Tool surface

One verb per job; the same names over MCP (memshelf_*) and in the CLI:

Tool

What it does

init

Create (or top up) a memory shelf: docshelf layout, fixed categories

shelve

Offload one closed topic as a durable, indexed episode; --amend rewrites in place

lint_digest

Validate a digest against the contract without touching the shelf

import

Retro-shelve a whole exported dialog without pulling it through context

index

Return the shelf INDEX — the small recall entry point

recall

Fetch an episode by id, or a single ## Section of it

search

Grep the shelf; returns matching episodes

stats

The shelf's token economy: standing cost vs shelved mass, claimed vs realized

advise

What your context is made of and what you could put down — proposals only

rebuild

Regenerate every derived file from the episodes

rollup

Archive a period behind one digest-of-digests

purge

Drop episodes past retain_until, then reindex — dry run by default

resolve

Settle multi-writer conflicts: regenerate derived, union the recall log

doctor

Diagnose: episode schema, digest contract at rest, secret shapes, index bloat

The rules the tools enforce

The digest is a contract, not a convention. It is the only thing read at recall before fetching a body, so a weak one devalues the whole episode. lint_digest runs the same validator as shelve with no side effects (--strict turns warnings into failures); errors block a shelve, warnings do not — a pure reference digest legitimately carries no decision marker. A rejected digest is a feature: the tool prints exactly what to fix and writes nothing.

--amend re-runs the whole pipeline — redaction, the digest contract, composition — so an amended episode is exactly as guarded as a fresh one, which a hand-edit of the file never is. Amending a slug that is not on the shelf is an error, not a create.

The episode is the source; everything else is output. ledger.tsv, INDEX.md, stats.svg and each category's .meta.json are derived: shelve writes and commits the episode alone, rebuild renders the rest — delete all four and rebuild restores them byte-identically. That is what makes two sessions shelving in parallel a non-event: the merge is clean by construction. On a shared shelf, let a bot own the derived files on main — ready-to-copy workflows in adapters/shelf-repo/; rebuild --adopt migrates an older shelf once, rebuild --check is the CI guard.

Two consequences worth stating plainly, because getting them wrong costs a merge conflict:

  • doctor reports no-ledger-row and stale-index immediately after a correct shelve — on every branch, main included. Nothing is broken: the episode is written, the derived files are not rendered yet. They clear on the next rebuild — the bot's run, on a shelf that has one.

  • Do not rebuild and commit the derived files by hand to silence them. That is exactly the conflict class the split removes: a hand-regenerated ledger.tsv/INDEX.md/stats.svg meets the bot's, and the merge stops being clean by construction. Wait for the renderer; on a shelf without a bot, run memshelf rebuild --shelf . as its own step.

If those warnings persist for a day while episodes keep arriving, that is a different state — the renderer is not lagging, it is stopped — and doctor says so separately, as derived-stale at error severity.

advise proposes, never writes. It answers the question the project was founded on — a dead topic has been occupying 30K tokens for forty minutes. The tool cannot see your window, so you tell it what is in there:

memshelf advise --shelf ~/my-shelf \
  --occupant 'auth refactor=42000,closed' \
  --occupant 'search dump=9000,idle=18' \
  --occupant 'Case B verdict=12000,live,episode=2026-07-22-case-b-verdict'

Three things keep it honest: it counts itself (INDEX + digests are in the report, not left out of it), it verifies episode= claims before proposing a drop, and it reports net — a topic too small to pay for its own digest is not proposed at all.

Rollup shrinks navigation and nothing else. When INDEX grows into a real share of your window, rollup collapses a period into one digest-of-digests and moves the originals to archive/ — still reachable by recall and search, every ledger row intact. The rollup digest is yours, not the tool's: synthesizing a quarter is the part a tool cannot do.

index-bloat is not what a rollup is for. INDEX lists your episodes, so its size grows with the shelf by design; its budget grows with the shelf too (INDEX_BASE_TOKENS + INDEX_TOKENS_PER_ENTRY × listed). Over budget therefore means entries are overpriced, never that there are too many of them — so doctor reports the cost of one line, and the fix is to trim it and rebuild. A rollup would remove entries and their allowance together and leave the price where it was. Having the two paired the other way is what made "archive a third of your memory" the standard way to silence a formatting problem.

purge deletes the working tree, not history. Retention is opt-in per episode (--retain-until); purge is a dry run until --apply — and even then git history still has the file. Real erasure is a deliberate filter-repo pass over the whole repository, never a side effect of a tool call, and the purge report says so.

resolve regenerates derived paths, never merges them — a derived file has no history, only a current correct value. The one file it unions is recall-log.tsv, because a recall is an event, not a fact about the episodes. Conflicting episodes are content, not mechanics: resolve reports them and steps aside.

The design rationale behind each rule lives in docs/DECISIONS.md and docs/ARCHITECTURE.md.

One memory, multiple AIs

The memory is vendor-portable, and that is a measured fact, not a design intention: the same live shelf has been read and cross-written by Claude Code (Anthropic) and Gemini CLI (Google) through one shelf-spec server — protocol and field notes in docs/portability.md.

Status

M0 complete: the pattern was validated with zero code on a live shelf — retro-import of months of material, then a week of shelve-at-close (docs/M0.md). M1 shipped the server/CLI that enforces it, plus the Claude Code plugin. Next milestones with exit criteria: docs/ROADMAP.md; release history: CHANGELOG.md.

Documents

Rendered site: https://ignatenkofi.github.io/memshelf-mcp/ — including the week-report infographic from the dogfood shelf.

Doc

What it covers

docs/MANIFEST.md

Problem, the bet, hero scenarios, principles, non-goals

docs/ARCHITECTURE.md

Episode format, digest contract, storage modes, triggers, MCP tool surface, portability model, privacy, failure modes

docs/LANDSCAPE.md

Prior-art survey (2026-07), platform built-ins, positioning, risks

docs/ROADMAP.md

Milestones M0–M3 with exit criteria

docs/DECISIONS.md

Decision log

docs/M0.md

M0 experiment protocol and results: cases, token ledger, recall test

docs/demo.md

Measured numbers from the dogfood shelf: compression, recall test, doctor findings

docs/portability.md

One memory, multiple AIs: the cross-vendor experiment

docs/examples/

A worked episode file and a memory-shelf INDEX

adapters/claude-code/

Claude Code plugin: /shelve skill + SessionStart/SessionEnd/PreCompact hooks

adapters/claude-desktop/

Claude Desktop .mcpb extension: builder, bundle checker, default-shelf setting

Origin

Designed as RFC-0001 in the docshelf-mcp repo (#42, #43, #44); this repo is the project's home from 2026-07-13 on. The docshelf copy is frozen as a historical snapshot.

  • docshelf-mcp — the sibling project and storage layer: PDFs/Markdown → chat-project-friendly document shelves with the same index-and-fetch economics (measured: ~3.7K tokens vs 1.2M per question). memshelf was born as RFC-0001 in its repo and reuses its splitter/indexer/read/search verbatim.

  • The dogfood memory shelf is a private repo — by design (MANIFEST principle 5).

License

MIT — see LICENSE.


mcp-name: io.github.ignatenkofi/memshelf-mcp

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