memware

Memory for AI agents that only remembers the latest truth.

memware is one SQLite file with two stores:

• turns — immutable evidence. Every prompt and answer from past sessions, split into ~400-token passages and indexed with FTS5. Recall ranks passages and quotes only the matching ones; reading a session back returns whole turns. BM25 × recency × use, no model in the loop.
• beliefs — a bi-temporal ledger of facts. A new value for the same (subject, relation) supersedes the old one. Recall only ever returns the currently valid belief; history is kept for audit and never reaches a prompt.

No daemon, no vector database, no LLM call at capture or read time. A 30-day corpus of a busy coding agent — 18k turns, 40k passages — indexes in about fourteen seconds into ~120 MB.

$ memware sync ~/.claude/projects --harness claude-code
{"added": 14348, "files": 1475}

$ memware assert "api" "listens on port" "8443" --source "session 3f2a, turn 41"
{"outcome": "superseded", "belief_id": 2, "incumbent_id": 1}

$ memware recall "which port does the api use" --what beliefs
api listens on port 8443            # 8080 is in the ledger, retired, and never surfaces

Why

Agent memory systems that rewrite what they remember degrade: continuous LLM consolidation can push utility below having no memory at all (Useful Memories Become Faulty When Continuously Updated by LLMs). And embeddings cannot tell a contradicted fact from a rephrased one — AUROC 0.59 — so vector stores serve stale facts 15–40% of the time on evolving knowledge (Temporal Validity in Retrieval Memory).

memware borrows four mechanisms from human memory research and keeps them deliberately small:

Full rationale and citations: docs/design.md.

Install

The Claude Code plugin's hooks call memware as a bare command, so the CLI must be on the PATH your shell uses — install it as a tool, not into a project virtualenv:

uv tool install "memware[mcp]"     # recommended
# or
pipx install "memware[mcp]"

Then confirm the shim resolves (if this prints nothing, the hooks will silently do nothing):

memware --version
which memware

Use it from Claude Code

claude plugin marketplace add ericwalisko/memware
claude plugin install memware@memware
claude mcp add -s user memware -- memware-mcp   # optional tools; -s user = every project, not just this dir

Backfill your existing sessions (optional, once). The plugin only captures new sessions; index the transcripts already on disk so recall works over past work from day one:

memware backfill                 # indexes ~/.claude/projects (idempotent; ~5 s for a month)

The belief ledger starts empty and is not backfilled — beliefs are derived, not stored in transcripts. It fills as you work (via the remember tool, or a derive job you schedule). Transcript recall is what backfill gives you immediately, and it is where most of the value is.

Requires the memware CLI on your PATH (see Install). Hooks: SessionEnd/PreCompact sync the transcript into the index; an optional UserPromptSubmit hook injects the handful of currently valid beliefs whose subject the prompt names (beliefs only — transcript search is on demand through the MCP tools). Set MEMWARE_DB to move the store, and MEMWARE_NO_CAPTURE=1 for any session you do not want indexed. See docs/integrations.md and docs/keeping-memory-clean.md.

Use it from Hermes Agent

integrations/hermes/memware/ is a memory-provider plugin built on Hermes's MemoryProvider ABC — prompt-time belief prefetch, non-blocking turn capture, and memware_recall / memware_remember tools — sharing one store with Claude Code.

The supersession rule

same key, same value   → reinforce (reliability rises, use is counted)
same key, newer value  → supersede: incumbent gets valid_to = new.valid_from
same key, older value  → filed as history; the timeline stays consistent
weaker challenger      → parked as a candidate and sent to review

Ordering is decided by valid_from (when the evidence says it became true), never by insertion order — so a backfill converges to the same state in any order, twice, or in batches. Three policies: auto (last writer by event time), gate_conflicts (default: a less reliable challenger goes to review), await_confirmation.

Recall is keyword search; the agent supplies the meaning

The index is FTS5/BM25 — fast, model-free, and literal. The recall tool therefore takes several phrasings and fuses them by reciprocal rank, so a tool-calling agent puts its own reasoning into retrieval at call time (synonyms, related concepts, the literal value it expects), the same way it would issue a few grep or web-search queries:

recall(queries=["which port does the api listen on", "api port", "8443", "gateway listen port"])

Prompt-time injection (the hooks) stays deterministic and only injects beliefs whose subject the prompt names.

Backups and the wipe trap

Transcripts are deleted by the OS after ~30 days, so an aged session lives only in the store — back it up, and never wipe-and-re-backfill (backfill only re-indexes transcripts still on disk). memware guards this: migrations snapshot first, and backfill warns if a backup is larger than the store.

memware setup                              # pick a folder: Dropbox / iCloud / Drive / external disk
memware backup                             # tiered snapshot (1/3/7/14-day) + transcript mirror
memware restore --latest                   # after a wipe, restore — do not re-backfill
memware nuke                               # delete everything, typed-confirmation guarded

Full guide: docs/backup.md.

Keeping evaluations out of the evidence

Full guide: docs/keeping-memory-clean.md.

Headless runs write transcripts too. Set MEMWARE_NO_CAPTURE=1 in any run you do not want indexed (hooks, the Hermes provider and memware sync --from-hook all honour it), put [memware-eval] in evaluation prompts, and use memware-eval --corpus ROOT --db scratch.db --beliefs-from ~/.memware/memware.db to judge retrieval against a store that excludes them. memware prune --containing TEXT un-indexes runs that already slipped in. For a durable filter that every sync honours — including runs that predate a marker — list content signatures in ~/.memware/ignore-markers.txt (or MEMWARE_IGNORE_MARKERS); any transcript whose head contains one is never indexed.

Reviewing contested supersessions

memware does not ship a UI. It ships a contract — ReviewBackend with publish() and collect() — plus two implementations: JSONL outbox/inbox files and a plain HTTP endpoint. Wire it to whatever you already use to make decisions.

memware review sync                       # outbox ~/.memware/review-outbox.jsonl
echo '{"review_id": 7, "decision": "approve"}' >> ~/.memware/review-inbox.jsonl
memware review sync                       # applied

Evaluation

memware-eval scores retrieval against a question set: does the right evidence surface, and does the stale value stay hidden? It needs no model, so results are reproducible. The protocol for end-to-end comparisons — agent alone vs agent + memware — is in docs/eval.md.

Status

Alpha. The schema may change before 1.0; the ledger semantics will not.

License

MIT. See LICENSE.