The cognitive fabric for AI agents
Give your users an AI that truly remembers them. Give your agents memory, learning, and multi-agent coordination. One API, two tracks — cognitive infrastructure for everything you build.
Paste this prompt into Claude Code to get a working Cerebe integration in minutes
from cerebe import AsyncCerebe
client = AsyncCerebe(api_key="ck_live_...")
# Store a memory
await client.memory.add(
content="User prefers visual explanations",
session_id="session_abc",
type="semantic",
)
# Search memories
results = await client.memory.search(
query="What does the user prefer?",
session_id="session_abc",
)Two tracks, one API
Different brains for different problems
Human cognition and agent cognition need fundamentally different primitives. Cerebe gives you both — unified under a single API key.
Cerebe for Humans
Build products that genuinely understand each user
Persistent Memory
Your AI genuinely remembers every user — preferences, history, and context — across sessions, forever. Automatic contradiction detection keeps facts straight as users change their minds.
Cognitive Profiles
Evolving profiles that track engagement, learning modalities, cognitive load, and confidence. Every interaction gets more personalized without a single line of personalization logic.
PLRE Learning Engine
Adapts to how each user thinks with the Prepare-Learn-Reinforce-Evaluate framework. Detects cognitive patterns, learning velocity, and optimal content pacing across sessions.
Knowledge Graphs
Temporal knowledge that evolves with full provenance. Build a living understanding of your users' world — relationships, facts, and context — queryable at any point in time.
Memory-Aware LLM
OpenAI-compatible chat completions automatically enriched with relevant memories and cognitive context. Every response is informed by everything your AI knows — zero prompt engineering.
Cerebe for Agents
Make LangGraph, CrewAI, and custom agents smarter immediately
Trace Ingestion
Feed execution traces and get structured memories, plan coherence scoring, and tool reliability tracking back. Your agents learn from every run and continuously improve.
Multi-Agent Memory
Hierarchical scoping — private, task-shared, org-wide — with optimistic concurrency and conflict resolution. Multiple agents collaborate without stepping on each other's memories.
PEOA Adaptation
Plan-Execute-Observe-Adapt loops that track tool reliability, strategy preferences, and execution efficiency. Agents evolve their approach based on accumulated experience.
Working Memory
TTL-based short-term memory for active reasoning. Agents hold relevant context during execution, automatically sweeping expired items. Keeps focus sharp across long-running tasks.
MCP Server
Connect Claude Code, Cursor, or any MCP-compatible tool directly to Cerebe. Your AI coding assistant gets full access to memory, knowledge, and cognitive context instantly.
Shared Platform
Available to both humans and agents
Document Intelligence
Upload any document, search with natural language, get instant answers. Your AI reads and recalls entire document libraries.
Prompt Service
Version-controlled templates with A/B evaluation and domain-aware enrichment. Manage prompts as code, deploy without redeploying.
Object Storage
S3-compatible file storage with processing pipelines, virus scanning, and automatic memory bridging.
Same SDK, different superpowers
One client, two cognitive tracks. Python and TypeScript.
from cerebe import AsyncCerebe
client = AsyncCerebe(api_key="ck_live_...")
# Store what you learn about a user
await client.memory.add(
"User prefers visual diagrams over text",
"session_abc",
entity_id="user_123",
type="semantic",
)
# Later — your AI remembers, even in a new session
results = await client.memory.search(
"How does this user like to learn?",
"session_abc",
entity_id="user_123",
)
# Get their evolving cognitive profile
profile = await client.meta_learning.profile("user_123")
print(profile.data) # learning patterns, engagement, modalitiesSimple, transparent pricing
Start free. Scale as you grow. No credit card required.