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Agent Memory MCP

Unclaimed

by ipiton

MCP server that gives AI agents persistent memory with semantic search

Install

$go install github.com/ipiton/agent-memory-mcp/cmd/agent-memory-mcp@latest

Set up this server

This server needs project-specific setup. Follow the project instructions; no reusable public launch command is available yet.

Project instructions

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40 of 40 tools

Documented tools (40)

From project documentation. A server handshake does not verify each tool’s description or behavior.

accept_session_changes

Persist the raw summary and auto-apply only low-risk consolidation actions

analyze_session

Compatibility alias for closesession with the same planning and reporting behavior

close_session

Analyze a finished session into raw summary metadata, candidate knowledge items, and review-safe consolidation actions

conflicts_report

Report duplicate candidates, conflicting statuses, and multiple canonical entries

delete_memory

Delete a memory by ID

demote_sediment

Demote a memory one sediment layer down

end_task

Consolidate memory for an archived task slug: outdate working/procedural entries, route high-importance ones to the review queue

index_documents

Re-index documents for RAG search

list_canonical_knowledge

List canonical knowledge entries projected from confirmed memories

list_memories

List all memories with optional type/context filtering

mark_outdated

Mark a memory as outdated or superseded so trust-aware recall downranks it

memory_stats

Get memory statistics (counts by type)

merge_duplicates

Merge duplicate memories into a primary entry and archive the rest

project_bank_view

Show a structured project bank view for canonical knowledge, decisions, runbooks, incidents, caveats, migrations, the review queue, or sediment promotion candidates

promote_sediment

Promote a memory to a higher sediment layer (surface → episodic → semantic → character). See docs/SEDIMENTATION.md

promote_to_canonical

Promote a memory to canonical knowledge and boost its trust ranking

recall_canonical_knowledge

Recall canonical knowledge only, excluding raw memories from results

recall_memory

Recall memories by semantic/text query with optional filters and trust-aware ranking

recall_multihop

Multi-hop graph-walk recall over the (subj, rel, obj) triple corpus — returns memories ranked by aggregated path score with the chain of triples that reached each result. Use for cross-memory reasoning queries that single-hop search cannot trace. Requires MCPTRIPLEEXTRACTOR populated; backfill via i

recall_similar_incidents

Recall similar incidents from memory and indexed postmortems

repo_list

List files and folders under allowlisted paths

repo_read

Read a file from allowlisted paths

repo_search

Text search across allowlisted paths

resolve_review_item

Resolve a pending review queue item so it disappears from the active inbox while keeping an audit trail

review_session_changes

Render the explainable review report for a finished session without forcing writes

search_runbooks

Search runbook memories plus indexed runbook docs

sediment_cycle

Run the sediment transition cycle — auto-applies trivial promotions, routes non-trivial ones to the review queue

semantic_search

Hybrid search across indexed documents with optional sourcetype, trust metadata, and debug explain mode

steward_policy

Get or update the stewardship policy that controls detection thresholds, auto-apply rules, and scheduling

steward_report

Retrieve the latest stewardship report or a specific one by run ID

steward_run

Run a knowledge stewardship cycle: scan for duplicates, conflicts, stale entries, and canonical promotion candidates

store_dead_end

Record an attempted approach that failed (plus the why and the alternative used) so retrieval can surface it as a pitfall warning on related queries. Use this for standalone failures with no decision context. Use storedecision -avoided-dead-end-id <id> when the dead end is part of a larger architect

store_decision

Store an engineering decision with rationale, status, and consequences

store_incident

Store an incident with impact, root cause, resolution, service, and severity

store_memory

Store a memory with content, type, tags, and importance

store_postmortem

Store a postmortem with root cause and action items

store_runbook

Store a runbook with procedure, trigger, verification, and rollback notes

summarize_project_context

Summarize recent decisions, runbooks, incidents, and related docs

sweep_archive

Pull-mode scan over MCPTASKARCHIVEROOTS that runs endtask on every archived slug

update_memory

Update an existing memory by ID

Tool change history

Compared across complete checks of the same configuration. Tools were listed, not invoked. Input-schema changes are not measured here.

No complete tool checks yet.

FAQ

Questions about Agent Memory MCP Server

How do I connect Agent Memory MCP Server to Claude?
The listing records `go install github.com/ipiton/agent-memory-mcp/cmd/agent-memory-mcp@latest` as its setup step. Run it, then follow the repository's instructions for the client configuration; the listing names Claude Desktop, Claude Code, Cursor as compatible clients.
Is Agent Memory MCP Server free?
The listed licence is MIT. Check the upstream terms for permitted use and commercial requirements; a public repository does not by itself mean the software is free or open source. Connected APIs and hosted services may have separate charges.
What can Agent Memory MCP Server do?
Agent Memory MCP Server documents 40 tools to the agent, including accept_session_changes, analyze_session, close_session. The descriptions above come from project documentation. A live handshake does not test individual tool behavior.