World-state engine for AI agents

Memory thatpersists

The observability backbone for autonomous coding agents. Structured event logging, hybrid retrieval, and root-cause analysis in one platform.

10k+events on cloud free tierSCALE
99.9%reliable ingestRELIABLE
<50mshybrid search p99RETRIEVAL
100%trace coverageOBSERVE
10k+events on cloud free tierSCALE
99.9%reliable ingestRELIABLE
<50mshybrid search p99RETRIEVAL
100%trace coverageOBSERVE
Platform Features

Built for agent builders.
Designed for scale.

01

Structured Event Log

Every agent action captured in a queryable format. Append-only storage with vector embeddings for semantic search across your entire trace history.

02

Hybrid Retrieval

Combine vector similarity with structured filters. Find the exact moment you need in milliseconds, whether by semantic meaning or precise metadata.

03

Real-time Anomaly Detection

Catch loops, failures, and regressions as they happen. Pattern matching on event streams surfaces issues before they compound.

AB
04

Root-Cause Analysis

When something breaks, get instant diagnosis with full trace context. Timeline reconstruction and causal analysis pinpoint the exact failure point.

Closed-loop workflow

Four steps.
Complete observability.

agent-trace.ts
1from graphe_sdk import GrapheClient, start_run
2
3client = GrapheClient.from_env()
4with start_run(client, workspace_id=..., project_id=..., actor_id=..., goal="...") as run:
5    run.log_tool("grep", lambda: ...)
Ready
Infrastructure

Built to run
in production.

Hosted API, managed Postgres, hybrid retrieval, and the console—one platform your agents connect to from your code or agent tools.

6
Core services
99.9%
Idempotent ingest
<50ms
Hybrid search p99
Platform surfacesAll operational
Event log
Postgres + pgvector
<12ms
Entity graph
Neo4j subgraph queries
<18ms
Hybrid search
Vector + structured filters
<50ms
Async workers
Claims, observations, detectors
live
API + console
Ingest, trace, explain
<24ms
Webhook bridge
CI, metrics, ticketing
sync
Live metrics

Performance you
can measure.

Live|
0%
Trace coverage per run
0.9%
Idempotent event ingest
<0ms
Hybrid search p99
0+
Built-in anomaly detectors
Integrations

Integrates with your
agent stack.

Use the languages, frameworks, and agent tools you already have. No rip-and-replace.

Python
Your code
TypeScript
Your code
Cursor
Agent apps
Claude Desktop
Agent apps
LangChain
Frameworks
LlamaIndex
Frameworks
GitHub Actions
CI/CD
Webhooks
Alerts
OpenTelemetry
Observability
Slack
Notifications
Custom agents
Any stack
Graphe Console
Dashboard
Python
Your code
TypeScript
Your code
Cursor
Agent apps
Claude Desktop
Agent apps
LangChain
Frameworks
LlamaIndex
Frameworks
GitHub Actions
CI/CD
Webhooks
Alerts
OpenTelemetry
Observability
Slack
Notifications
Custom agents
Any stack
Graphe Console
Dashboard
Graphe Console
Dashboard
Custom agents
Any stack
Slack
Notifications
OpenTelemetry
Observability
Webhooks
Alerts
GitHub Actions
CI/CD
LlamaIndex
Frameworks
LangChain
Frameworks
Claude Desktop
Agent apps
Cursor
Agent apps
TypeScript
Your code
Python
Your code
Graphe Console
Dashboard
Custom agents
Any stack
Slack
Notifications
OpenTelemetry
Observability
Webhooks
Alerts
GitHub Actions
CI/CD
LlamaIndex
Frameworks
LangChain
Frameworks
Claude Desktop
Agent apps
Cursor
Agent apps
TypeScript
Your code
Python
Your code
Trust

Your agent data
stays yours.

Designed for teams who need auditable agent memory—not a black-box chat export.

Workspace isolationSafe retriesAccess controlsAudit trailData export

Workspace isolation

Each team's project data is isolated. Credentials from the console only access that workspace.

Append-only audit trail

Raw events are immutable. Derived state always links back to source events and artifacts.

Provenance on claims

Observations and claims carry lineage so agents and humans can see what evidence supports each belief.

Export-friendly

Retention policies, export paths, and workspace isolation so you control how long agent data lives.

For developers

Built for agents.
Simple to connect.

Sign up, connect from your code or agent app, and every run shows up in the console—with full history when something breaks.

Works in your codebase

Add a few lines in Python or TypeScript so every agent action is recorded automatically.

Works in Cursor & Claude

Connect from the agent tools you already use—no separate workflow to learn.

Any agent setup

Custom agents, LangChain, or your own loop—all write to the same shared project memory.

Hosted for you

Sign up, copy your connection details from the console, and start sending activity to Graphe Cloud.

pip install -e packages/sdk-py
pip install -e packages/cli
pip install -e packages/mcp-server
Pricing

Free to start on Graphe Cloud

10k events/month on Free. Pro when your agents ship to production. Team for SSO and custom limits.

Compare all plans

Free

$0

10k events / month

Start free →

Pro

$49/mo

500k events / month

See Pro details →

Team

Custom

Custom event limits

Contact →

Ready to give your
agents memory?

Create a workspace, connect your agents, and see every run in the console in minutes.

Developer tier: unlimited events on your infrastructure