MCP Tools

Tools available when connecting to Remind via MCP.

remember

Store an experience as an episode.

remember(content="User prefers TypeScript", episode_type="preference")
remember(content="Use Redis for caching", episode_type="decision", entities="tool:redis,subject:caching")
remember(content="Cache TTL is 300s", episode_type="fact", entities="tool:redis", labels="topic=infra", asserted_by="alice", source_ref="https://github.com/org/repo/pull/42")

Parameter	Type	Required	Description
content	string	Yes	The experience to store
metadata	string	No	Optional JSON string with additional metadata
episode_type	string	No	observation (default), decision, question, preference, meta, outcome, fact
entities	string	No	Comma-separated entity tags (type:name)
labels	string	No	Comma-separated key=value labels (e.g. "topic=architecture" or "topic=architecture,team=infra")
source_type	string	No	Origin of this memory (e.g. "agent", "slack", "github", "manual")
asserted_by	string	No	Who asserted this information (provenance)
source_ref	string	No	Link back to the original artifact (URL/permalink)

Fact episodes

When episode_type="fact", the episode is:

1. Stored and embedded
2. Clustered by entity overlap with existing facts
3. Checked for collisions with active facts in the cluster

The response includes:

• fact_id — the new fact's ID
• cluster_id — the fact cluster it was assigned to
• cluster_created — whether a new cluster was created
• collisions — existing active facts with entity overlap

Handle collisions via apply with supersede or conflict ops.

recall

Retrieve relevant memories.

recall(query="authentication issues")
recall(query="auth", entity="file:src/auth.ts")
recall(entity="file:src/auth.ts")
recall(query="database design", labels="topic=architecture")
recall(query="cache configuration", as_of="2024-06-01")
recall(query="auth", max_chars=2000)
recall(query="auth", min_score=0.3, timeout_ms=500)

Parameter	Type	Required	Description
query	string	No	Search query (required for semantic search)
k	integer	No	Number of concepts to return (default: 3)
context	string	No	Additional context to improve retrieval
entity	string	No	Scope to entity (can be used alone)
episode_k	integer	No	Episodes via direct vector search (default: 5, 0 to disable)
labels	string	No	Comma-separated key=value label filter (e.g. "topic=architecture"). Pre-filters candidates before vector search runs — spreading activation still follows the graph beyond the filtered set.
as_of	string	No	ISO date/datetime for time-travel (facts valid at that point)
max_chars	integer	No	Cap the formatted output length; drops lowest-ranked concepts/episodes whole (never mid-item) until it fits
min_score	float	No	Drop concepts/episodes below this activation score even if k/episode_k budget remains
timeout_ms	integer	No	Soft deadline; returns best-so-far instead of raising if exceeded

At least one of query or entity must be provided.

If the output shows an OPEN CONFLICTS warning, triage with list_conflicts / resolve_conflict / dismiss_conflict.

apply

Batch write for transactional memory curation. All-or-nothing; returns per-op results.

Compact format (preferred)

One op per line, shlex tokenization, key=value args, trailing quoted string = content/note:

remember as=f1 t=fact e=tool:redis by=alice "Cache TTL is 600 seconds"
supersede old=fact:a91c2 new=$f1
remember as=o1 t=outcome e=subject:auth "SameSite=Strict broke OAuth; Lax required"
concept as=c1 from=ep:11,ep:12 title="Retry with backoff" "Transient failures resolve with backoff"
resolve id=conflict:7 winner=fact:b3d01 "confirmed by bob"
processed ids=ep:11,ep:12

Parameter	Type	Required	Description
changeset	string	Yes	Ops in compact or JSON format
dry_run	boolean	No	Validate without executing

Operations

Op	Arguments	Description
remember	as, t, e, by, ref, content	Store episode (batched)
supersede	old, new	Replace old fact with new
conflict	fact_a, fact_b, severity, description	Open a conflict
resolve	id, winner, note	Resolve conflict (winner supersedes loser)
dismiss	id, note	Dismiss conflict (both stay active)
concept	as, title, from, type, relations, summary	Create concept from episodes
update	id, field=value...	Update episode/concept fields
link	from, to, type	Add concept relation
label	id, key, value	Add a key=value label to episode/concept
unlabel	id, key, value	Remove a key=value label from episode/concept
entity_relation	source, target, relation, strength, context	Add a typed relation between entities
evidence	concept, episode, type, strength, note	Link an episode to a concept as supporting/contradicting/exemplifying/qualifying evidence
unlink	concept, episode	Remove an evidence link
reshape	id, type, reason	Change a concept's type (e.g. pattern → hypothesis)
merge	from, into, reason	Merge overlapping concepts (sources soft-deleted with lineage)
split	id, into, reason	Split a concept into multiple new concepts
delete	id	Soft delete
restore	id	Restore deleted item
processed	ids	Mark episodes as reviewed

Local refs: Use as=name to declare, $name to reference within the changeset.

JSON format

[
  {"op": "remember", "as": "f1", "t": "fact", "content": "Cache TTL is 600s",
   "e": ["tool:redis"], "by": "alice"},
  {"op": "supersede", "old": "fact:a91c2", "new": "$f1"},
  {"op": "resolve", "id": "conflict:7", "winner": "fact:b3d01", "note": "confirmed"}
]

snapshot

Batch read returning current memory state as JSON. Combine scopes in a single call.

snapshot(scopes="pending")                    # Unprocessed episodes with entities
snapshot(scopes="conflicts")                  # Open conflicts with fact context
snapshot(scopes="pending,conflicts")          # Both at once
snapshot(scopes="entity:tool:redis")          # All data for an entity
snapshot(scopes="labels")                     # All distinct labels with counts
snapshot(scopes="label:topic=architecture")   # All data for a label
snapshot(scopes="concept:abc123")             # Concept detail with facts/history
snapshot(scopes="recent:20")                  # 20 most recent episodes
snapshot(scopes="stats")                      # Memory statistics
snapshot(scopes="query:cache config")         # Semantic search (concepts only)

Parameter	Type	Required	Description
scopes	string	Yes	Space or comma separated scope specifiers

Scopes:

• pending — Episodes not yet processed, with their entities
• conflicts — Open conflicts with both facts and provenance
• entity:<id> — Entity detail with episodes and fact clusters
• labels — All distinct key=value labels in use, with counts
• label:<key>=<value> — All episodes and concepts carrying a label
• concept:<id> — Concept detail including superseded fact history
• recent:<n> — N most recent episodes
• stats — Memory statistics
• query:<text> — Semantic search for concepts
• events[:<since_seq>] — Change-feed events with seq > since_seq (default 0). Prefer the events tool below.
• bootstrap[:<n>] — Query-free stable context: top-n actionable concepts by confidence and instance count, plus open conflict count and stats (default 10). Needs no embedding call and is deterministic for a given memory state — cheap enough to call every session, or to place in a system prompt via an injection layer.

events

Read the append-only change feed of writes. Poll with since_seq instead of re-scanning snapshot(scopes="pending") to detect new activity — useful for consolidation daemons and sync layers built on top of Remind.

events()                                       # All events from the start
events(since_seq=42)                           # Only events after seq 42
events(since_seq=42, kind="conflict_opened")   # Filter to one kind

Parameter	Type	Required	Description
since_seq	integer	No	Only return events with seq greater than this (default: 0)
limit	integer	No	Maximum number of events to return (default: 200)
kind	string	No	Filter to a single event kind

Returns {since_seq, count, events, next_since_seq}. Every successful remember and every successful apply op appends one row, atomically with the write it describes. kind is one of remembered, superseded, conflict_opened, conflict_resolved, conflict_dismissed, concept_created, updated, labeled, unlabeled, deleted, restored, processed. Each event has seq, ts, kind, subject_type, subject_id, and an optional payload. Save next_since_seq and pass it back as since_seq on the next poll.

list_conflicts

List detected memory conflicts (contradictions) awaiting triage.

list_conflicts()
list_conflicts(status="all")
list_conflicts(status="open", kind="fact")

Parameter	Type	Required	Description
status	string	No	open (default), resolved, dismissed, or all
kind	string	No	Filter by fact or concept

resolve_conflict

Resolve a conflict by declaring which fact is correct. The losing fact is structurally superseded (kept as history, hidden from recall).

resolve_conflict(conflict_id="conflict:7", winning_fact_id="fact:b3d01", note="confirmed in prod config")

Parameter	Type	Required	Description
conflict_id	string	Yes	The conflict to resolve (from list_conflicts)
winning_fact_id	string	No	The correct fact's ID (required for fact conflicts)
note	string	No	Why this resolution is correct
resolved_by	string	No	Who decided

dismiss_conflict

Dismiss a conflict: both claims are valid (e.g. different contexts). Both facts stay active.

dismiss_conflict(conflict_id="conflict:7", note="staging vs prod, both true")

Parameter	Type	Required	Description
conflict_id	string	Yes	The conflict to dismiss (from list_conflicts)
note	string	No	Why this isn't a real contradiction
resolved_by	string	No	Who decided

inspect

Inspect concepts or episodes in memory (list all, view one, or filter episodes by date range).

inspect()
inspect(concept_id="abc123")
inspect(show_episodes=True, start_date="2024-01-01", end_date="2024-01-31")

Parameter	Type	Required	Description
concept_id	string	No	ID of a specific concept to inspect
show_episodes	boolean	No	Show episodes instead of concepts
limit	integer	No	Maximum number of items to show (default: 10)
start_date	string	No	ISO date/datetime, inclusive start (episodes only)
end_date	string	No	ISO date/datetime, inclusive end (episodes only)

stats

Memory statistics: concept/episode counts, consolidation status, relation type distribution.

stats()

episode_types

List episode types configured for this project/environment (built-in and custom).

episode_types()

entities

List entities (files, functions, people, etc.) mentioned in episodes.

entities()
entities(entity_type="tool", limit=20)

Parameter	Type	Required	Description
entity_type	string	No	Filter by type: file, function, class, module, concept, person, project, tool, other
limit	integer	No	Maximum number of entities to show (default: 50)

inspect_entity

Inspect an entity and its relationships to other entities.

inspect_entity(entity_id="file:src/auth.ts")

Parameter	Type	Required	Description
entity_id	string	Yes	Entity ID to inspect (e.g. "file:src/auth.ts", "person:alice")
show_relations	boolean	No	Whether to include relationships (default: True)

update_episode

Update an existing episode — correct mistakes, reclassify, or relabel. Only provided fields are updated.

update_episode(episode_id="ep:11", content="Corrected information")
update_episode(episode_id="ep:11", labels="topic=architecture,team=infra")
update_episode(episode_id="ep:11", labels="")  # clear all labels

Parameter	Type	Required	Description
episode_id	string	Yes	ID of the episode to update
content	string	No	New content text (resets the episode for re-consolidation)
episode_type	string	No	New type
entities	string	No	New comma-separated entity IDs
plan_id	string	No	Plan episode ID to link this task to
spec_ids	string	No	Comma-separated spec episode IDs to link this task to
depends_on	string	No	Comma-separated task IDs this task depends on
priority	string	No	Priority level: p0, p1, or p2
labels	string	No	Comma-separated key=value labels; replaces all existing labels; empty string clears them

delete_episode / restore_episode

Soft delete or restore an episode.

delete_episode(episode_id="ep:11")
restore_episode(episode_id="ep:11")

update_concept

Update an existing concept — refine or correct generalized knowledge. Only provided fields are updated.

update_concept(concept_id="c-123", summary="Refined summary")
update_concept(concept_id="c-123", labels="topic=architecture")

Parameter	Type	Required	Description
concept_id	string	Yes	ID of the concept to update
title	string	No	New short title
summary	string	No	New summary text (clears the embedding; regenerates on next recall)
confidence	float	No	New confidence score (0.0-1.0)
tags	string	No	New comma-separated tags
relations	string	No	JSON array of relations, e.g. [{"type":"implies","target_id":"abc","strength":0.7}]
labels	string	No	Comma-separated key=value labels; replaces all existing labels; empty string clears them

delete_concept / restore_concept

Soft delete or restore a concept.

delete_concept(concept_id="c-123")
restore_concept(concept_id="c-123")

list_deleted

List soft-deleted episodes and concepts.

list_deleted()
list_deleted(item_type="episodes", limit=50)

Parameter	Type	Required	Description
item_type	string	No	"episodes", "concepts", or omit for both
limit	integer	No	Maximum number of items to show per type (default: 20)