Production-Ready Persistent Memory for AI Agents. Give your applications long-term memory with reliable machine contracts.
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Best way to start
For testing and early prototypes
Most popular
For growing apps and small teams
Highest limits
For heavy usage and larger teams
Choose the integration method that fits your workflow.
Traditional HTTP endpoints for any language. Full CRUD, truthful indexing status, stable batch correlation, and semantic search.
/api/v1/*
Native Model Context Protocol with request-id echo, protocol-correct errors, and `tools/call` `isError` semantics for autonomous recovery.
/mcp
Auto-generated documentation. Generate SDKs, test with Swagger UI, or integrate any HTTP client.
/api/v1/openapi.json
Real-time bidirectional communication. Subscribe to tenant-scoped memory events with stable payload semantics and embedding lifecycle updates.
/socket
A complete toolkit for memory, knowledge, tasks, decisions, skills, and broker productivity — all accessible through the Model Context Protocol.
memory_create
Store a memory document with automatic chunking and embedding generation
memory_search
Search memories using semantic similarity with temporal weighting
memory_read
Retrieve a specific memory by its ID
memory_delete
Remove a memory from the system
memory_batch_create
Create multiple memories efficiently in a single request
memory_batch_delete
Bulk delete memories by filter criteria
entity_create
Create entities to associate memories with users, projects, etc.
deal_create
Create a new deal with milestones, stakeholders, and tracking
deal_update
Update deal stage, status, and track progress through pipeline
apply_template
Apply industry-specific pipeline template to deal with auto-populated milestones
client_profile
Get 360° client view with AI insights, timeline, and recommendations
pipeline_analytics
Get deal pipeline metrics, forecasts, and revenue projections
milestone_complete
Mark deal milestones as complete and track progress
commission_split
Track commission splits with multiple recipients per deal
commission_analytics
Get organization-level commission reports with date filtering and projections
client_interaction
Log client interactions (calls, emails, meetings) with sentiment analysis
deadline_create
Create deadlines with multi-stage reminders and escalation rules
deal_intelligence
AI-powered win probability (cached), risk assessment, and recommendations
document_upload
Upload documents for OCR processing and intelligent extraction
document_extract
Extract entities and structured data from uploaded documents
document_list
List organization documents with filtering by type, status, and deal
template_apply
Apply document templates with auto-fill from deal and client data
document_template_list
List available document templates by industry and document type
entity_link
Create typed relationships between entities in the knowledge graph
graph_traverse
Traverse the knowledge graph following specific relationship types
graph_search
Find paths between entities in the knowledge graph
task_create
Create tasks with dependencies, priorities, and goal assignments
task_update
Update task status, assignment, and other properties
task_list
List tasks with optional filters by status, agent, or goal
task_complete
Complete a task with outcome summary and progress tracking
goal_create
Create goals with target metrics and deadlines
goal_list
List goals with optional status filters
goal_progress
Get progress updates for specific goals
decision_create
Record decisions with context, alternatives, and reasoning chains
decision_update_outcome
Update decision outcomes for learning and calibration
decision_search
Find similar past decisions by context for informed choices
skill_create
Create reusable skills with parameter validation schemas
skill_execute
Execute skills with validated parameters and tracking
skill_list
List available skills with type and tag filters
Get started with your preferred integration method.
# Store a memory
curl -X POST /api/v1/memories \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"content":"User prefers dark mode for the dashboard","memory_type":"episodic","event_timestamp":"2026-03-04T14:30:00Z","entities":[{"type":"user","external_id":"user_123","name":"Alice"}]}'
# Context-aware search
curl -X POST /api/v1/search \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"query":"UI preferences for dashboard","time_window_days":30,"entity_filter":{"type":"user","external_id":"user_123"},"recency_weight":0.4}'
Production-ready features designed for autonomous AI systems.
Bearer token auth plus explicit read/write/delete scope checks across REST, MCP, and WebSocket.
Consistent machine-readable errors with MCP `result.isError` for tool-level validation failures.
Memory status reports real chunk progress (`total_chunks` / `embedded_chunks`) with truthful lifecycle states.
Deterministic per-item `index` correlation in batch results, even with duplicate payloads.
Beyond memory storage — complete cognitive capabilities for autonomous AI agents. Build agents that learn, reason, and improve.
Comprehensive tools for professional brokers: visual deal pipelines with industry templates, client 360° profiles, commission tracking & analytics, deadline management, AI-powered insights with intelligent caching, and document intelligence with OCR & auto-extraction. Perfect for real estate, insurance, financial services, and more.
Build entity relationships with typed connections. Traverse graphs, find paths, and maintain contextual knowledge about users, projects, and systems.
Hierarchical task tracking with dependencies, priorities, and goal progress monitoring. Assign tasks to agents and track completion.
Track reasoning chains, alternatives, and outcomes. Learn from past decisions with similarity search and confidence calibration.
Reusable action templates with parameter validation. Version and execute complex workflows with execution tracking.
See how cognitive features transform AI agents into autonomous, learning systems.
Manage deal pipelines visually, track client relationships with AI insights, forecast revenue, automate milestone tracking, manage commission splits, and never miss a deadline. Perfect for real estate, insurance, and financial services.
Agent remembers user preferences across conversations, tracks task progress autonomously, and learns from past decisions to improve future recommendations.
Manage hierarchical tasks with dependencies, track goals and milestones, maintain a knowledge graph of project entities and relationships.
Store research findings semantically, link concepts in a knowledge graph, journal decision processes for methodology transparency.
Built specifically for AI agents — not just storage, but cognitive capabilities.
| Feature | AI Memory | Traditional Vector DB | Simple Key-Value |
|---|---|---|---|
| Semantic Memory | |||
| Knowledge Graph | |||
| Task Management | |||
| Decision Journaling | |||
| Skills & Procedures | |||
| Broker Productivity | |||
| MCP Native Support | |||
| Temporal Weighting |
AI agents are stateless by default — every conversation starts from zero. We solve that with memory that understands context.
Vector embeddings enable intelligent search that understands meaning, not just keywords.
Recent memories score higher with automatic recency decay — just like human memory.
Query memories about specific subjects — users, projects, customers, codebases, and more.
Episodic (events with timestamps) and semantic (extracted facts) memories like human cognition.
Simple REST API with full OpenAPI 3.1 spec documentation for any HTTP client or SDK generator.
Native MCP 2024-11-05 support with 37 tools for seamless Claude and AI agent integration.
Knowledge graphs, task management, decision journaling, and skills library for autonomous agents.
Agents learn from past decisions, track reasoning chains, and improve over time with confidence calibration.
Get up and running in under 5 minutes with our simple setup process.
Sign up for free and get your API key instantly. No credit card required to start.
Use the REST API, MCP tools, or batch operations to store your first memory.
Query memories with semantic search, temporal weighting, and entity filtering.
Check out the OpenAPI spec and MCP endpoint for full integration details.
Start building persistent, context-aware AI applications today.