Discover available tools, optionally filtered by category

Returns enough information for LLMs to call tools directly without needing how_to_use.

Args: category: Optional category filter (user, memory, project, code_artifact, document, entity, linking) ctx: FastMCP Context (automatically injected)

Returns: Dictionary with: - tools_by_category: Tools grouped by category - total_count: Total number of tools - categories_available: List of available categories - filtered_by: Category filter applied (if any)

All Available Tools

User Tools - User profile and preferences

• get_current_user: Get authenticated user info

• update_user_notes: Store user preferences/notes

Memory Tools - Atomic knowledge storage (<400 words per memory)

• create_memory: Store a single concept with auto-linking to similar memories (supports provenance tracking)

• query_memory: Semantic search across memories (use query_context for better ranking)

• get_memory: Retrieve memory by ID

• update_memory: Modify memory fields (PATCH semantics, supports provenance tracking)

• link_memories: Manually connect related memories bidirectionally

• unlink_memories: Remove link between memories

• mark_memory_obsolete: Soft-delete with audit trail and optional superseded_by

• get_recent_memories: Get newest memories (timeline view)

Provenance Tracking (optional fields for create_memory/update_memory):

• source_repo, source_files, source_url: Track where knowledge came from

• confidence: Reliability score (0.0-1.0) for AI-generated content

• encoding_agent, encoding_version: Track which agent/version created the memory

Project Tools - Organize memories by context/scope

• create_project: Create project container (development, personal, work, etc.)

• get_project: Retrieve project details

• list_projects: List all projects with optional status/repo filter

• update_project: Modify project metadata

• delete_project: Remove project (memories preserved)

Code Artifact Tools - Reusable code snippets and patterns

• create_code_artifact: Store code with language, tags, project link

• get_code_artifact: Retrieve code artifact by ID

• list_code_artifacts: List artifacts with project/language/tags filter

• update_code_artifact: Modify artifact fields

• delete_code_artifact: Remove artifact

Document Tools - Long-form content (>300 words)

• create_document: Store detailed docs, analysis, guides

• get_document: Retrieve document by ID

• list_documents: List documents with project/type/tags filter

• update_document: Modify document fields

• delete_document: Remove document

Entity Tools - Real-world entities (people, orgs, devices)

• create_entity: Create entity with type, aka (aliases), notes

• get_entity: Retrieve entity by ID

• list_entities: List entities with project/type/tags filter

• search_entities: Text search by name or aka (aliases)

• update_entity: Modify entity fields

• delete_entity: Remove entity (cascades links)

• link_entity_to_memory: Connect entity to memory

• unlink_entity_from_memory: Remove entity-memory link

• link_entity_to_project: Connect entity to project (organizational grouping)

• unlink_entity_from_project: Remove entity-project link

• get_entity_memories: Get all memories linked to entity

• create_entity_relationship: Create relationship (part_of, depends_on, works_for, etc.)

• get_entity_relationships: Get relationships for entity

• update_entity_relationship: Modify relationship

• delete_entity_relationship: Remove relationship

Workflow

1. Call discover_forgetful_tools() to see this catalog

2. Call execute_forgetful_tool(tool_name, {args}) to run any tool

3. If needed, call how_to_use_forgetful_tool(tool_name) for full parameter docs

Get detailed documentation for a specific tool

Returns complete documentation including JSON schema, multiple examples, and full parameter details.

Args: tool_name: Name of the tool to get documentation for ctx: FastMCP Context (automatically injected)

Returns: Detailed tool documentation with JSON schema

Execute any registered tool dynamically. Forgetful is a semantic memory system for LLMs.

Quick Start - One-Shot Examples (all required params shown)

Memory Operations:

• Search: execute_forgetful_tool("query_memory", {"query": "search terms", "query_context": "why searching"})

• Create: execute_forgetful_tool("create_memory", {"title": "Short title", "content": "Memory content (<2000 chars)", "context": "Why this matters", "keywords": ["kw1", "kw2"], "tags": ["tag1"], "importance": 7, "project_ids": [1]})

• Create with provenance: execute_forgetful_tool("create_memory", {"title": "...", "content": "...", "context": "...", "keywords": [...], "tags": [...], "importance": 7, "source_repo": "owner/repo", "source_files": ["src/main.py"], "confidence": 0.85, "encoding_agent": "claude-sonnet-4"})

• Update: execute_forgetful_tool("update_memory", {"memory_id": 1, "content": "new content"})

• Get: execute_forgetful_tool("get_memory", {"memory_id": 1})

• Link: execute_forgetful_tool("link_memories", {"memory_id": 1, "related_ids": [2, 3]})

• Unlink: execute_forgetful_tool("unlink_memories", {"source_id": 1, "target_id": 2})

• Obsolete: execute_forgetful_tool("mark_memory_obsolete", {"memory_id": 42, "reason": "Outdated approach", "superseded_by": 100})

Project Organization:

• List: execute_forgetful_tool("list_projects", {})

• Create: execute_forgetful_tool("create_project", {"name": "Project Name", "description": "What this project is about", "project_type": "development"})

• Get: execute_forgetful_tool("get_project", {"project_id": 1})

• Query: execute_forgetful_tool("query_memory", {"query": "search terms", "query_context": "why searching", "project_ids": [1]})

Entities (people, orgs, devices):

• Create: execute_forgetful_tool("create_entity", {"name": "Sarah Chen", "entity_type": "Individual", "notes": "Backend developer", "aka": ["Sarah", "S.C."]})

• Search: execute_forgetful_tool("search_entities", {"query": "Sarah"}) # Searches name AND aka

• Link to memory: execute_forgetful_tool("link_entity_to_memory", {"entity_id": 1, "memory_id": 1})

• Unlink from memory: execute_forgetful_tool("unlink_entity_from_memory", {"entity_id": 1, "memory_id": 1})

• Link to project: execute_forgetful_tool("link_entity_to_project", {"entity_id": 1, "project_id": 1})

• Unlink from project: execute_forgetful_tool("unlink_entity_from_project", {"entity_id": 1, "project_id": 1})

Documents (long-form content >300 words):

• Create: execute_forgetful_tool("create_document", {"title": "Doc Title", "description": "Brief summary", "content": "Long content...", "document_type": "text", "project_id": 1})

Code Artifacts (reusable snippets):

• Create: execute_forgetful_tool("create_code_artifact", {"title": "Snippet Title", "description": "What this does", "code": "def example(): pass", "language": "python", "project_id": 1})

Linking Best Practices

Always link related items for discoverability:

• When creating documents, link atomic memories: create_memory(..., document_ids=[doc_id])

• When creating code artifacts, link to memories: create_memory(..., code_artifact_ids=[artifact_id])

• Link memories to each other: link_memories(memory_id=1, related_ids=[2, 3])

• Link entities to memories: link_entity_to_memory(entity_id=1, memory_id=1)

• Link entities to projects: link_entity_to_project(entity_id=1, project_id=1)

Tool Categories

memory | project | entity | document | code_artifact | linking | user

Use discover_forgetful_tools(category?) for full parameter details and optional params.

Args: tool_name: Name of the tool to execute arguments: Dictionary of arguments to pass to the tool ctx: FastMCP Context (automatically injected)

Returns: Tool execution result (format depends on the specific tool)