/usr/bin/graphsub — 132×43 — us-east-1 --:--:-- UTC · xterm-256color · UTF-8
BOOT[BOOTING]

graphsub@cloud:~$ graphsub --describe

Built for agents.

Sub-millisecond graph operations, stigmergic coordination, hierarchical memory, and replayable proof for systems where agents and operators need one operational truth graph.

67µsP99 lookup
25Mops/sec
1 graphmemory + proof
130× cost-effective 166× faster Native agent primitives Fundable capsules Live product console
initialize_free_tier

50K GSU included · No credit card required · press / for commands

LIVE://TELEMETRY● sim
regionus-east-1
agents.live1,214,069
graph.nodes824,326
graph.edges3,785,778
lookup.p9967µs
throughput24.7M ops/s
OPS/SEC24.7M OPS/S
┤ FIELD://SUBSTRATE · cursor deposits · traces become structure ├
EVENTS://STREAM● sim
SSE · /api/v1/events/stream0 ev/shover to pause
SHARDS://256LSM · RAFT · SWIM
OP MIX
MEM TIERSw:0 · e:0 · s:0
SESSION GSU0 · $0.00
67µs
Node Lookup
P99 LATENCY
25M
Operations
PER SECOND
6
Capsules
PILOT WEDGES
131
API Endpoints
REST + GRAPHQL
3-tier
Memory
HIERARCHICAL

graphsub@cloud:~/graphsub$ ls -l ./capabilities

01

Native agent primitives

8 MODULES · SELECT TO INSPECT
MODULES
./CAPABILITIES/MEMORYLOADED

graphsub@cloud:~/cap/memory$ cat manifest.json

Hierarchical Memory

Working → Episodic → Semantic. Automatic consolidation with configurable decay.

graphsub@cloud:~/graphsub$ graphsub examples --capsules --syntax

01B

Code-first capsules

PYTHON · CYPHER · REST · REPLAY
PYTHON://AGENT_MEMORYCOPYABLE PATTERN
memory_replay.pywrite · recall · replay
from graphsub import Client

client = Client(base_url="https://graphsub.com")

memory = client.memory.remember(
    tier="working",
    content="limit breach on EUR rates book",
    source="risk-run-2026-07-03",
    importance=0.92,
)

trace = client.capsules.execute(
    capsule="trading-control-graph",
    workload="risk-recompute",
    evidence="source-linked",
)

print(trace.replay_id, trace.affected_outputs)

The pitch is concrete: memory write, capsule execution, affected-output replay, and evidence links in one path.

CYPHER://DEPENDENCY_GRAPHAGENT STATE
affected_outputs.cypherblast radius query
// Which reports need recompute after a curve update?
MATCH (s:Source {id: 'SOFR:2026-07-03'})
  -[:FEEDS]->(m:Model)
  -[:PRODUCES]->(o:Output)
WHERE o.status <> 'replayed'
RETURN
  o.id AS output,
  m.version AS model,
  shortestPath((s)-[*..4]->(o)) AS proof_path
ORDER BY o.priority DESC

This is the product wedge: explain impact, recompute only what changed, and keep the proof path inspectable.

REST://CAPSULE_PLANLIVE MODAL ROUTE
capsule_plan.sh/api/plan · /api/execute · /api/examples
curl 'https://graphsub.com/api/plan?capsule=trading-control-graph&target=enterprise-team&workload=risk-recompute' \
  | jq '.execution_preview | {capsule, buyer, workflow, artifacts}'

curl -X POST 'https://graphsub.com/api/execute?capsule=regulated-evidence-graph&workload=audit-evidence' \
  | jq '.execution.replay'

# crawlable examples for LLMs, docs, and sales engineering
curl 'https://graphsub.com/api/examples'

The landing page now exposes implementation-shaped proof, not only market copy.

graphsub@cloud:~/graphsub$ graphsub repl

02

The API surface

131 ENDPOINTS · VERIFIED TABS RUN LIVE CAPTURES
REPL

        
ENDPOINT
// output — press RUN to replay the selected request.

graphsub@cloud:~/graphsub$ graphsub console --launch

02B

Live product console

CAPSULE PLANNER · BENCHMARK API · MARKET MAP
CONSOLE://LIVECONNECTING

Launch a graph-native workflow

Loading live product data.

--capsules
--competitors
--bench lanes
BUILDER://CAPSULE_TO_WORKFLOWPOST /api/execute

Build a capsule workflow

Pick the workflow, buyer, and output mode. GraphSub returns a launch plan with schema, replay, benchmark, and ROI outputs.

awaiting /api/plan ...
/api/plan
workflow plan
Capsule launch steps with selected buyer and workload.
/api/evidence
source links
Competitor and benchmark context with direct source routes.
/api/execute
launch plan
Manifest, schema, replay, benchmark slice, and ROI worksheet.

graphsub@cloud:~/graphsub$ graphsub capsules --fundable --real-world

03

Fundable capsules

BUYER → PROOF → PLATFORM
CAPSULES
CAPSULE://TRADING_CONTROL_GRAPHPILOT-READY

graphsub@cloud:~/capsules$ inspect trading-control-graph

Trading Control Graph

BUYER
WEDGE
PILOT
COMMERCIAL
PROOF ARTIFACT
DATA PLANE
MOAT
EXPANSION PATH
FUNDABILITY SIGNAL

DILIGENCE BINDER

Each capsule ships with architecture map, data contracts, trace log, eval harness, and ROI worksheet.

inspectable, not narrative-only

PILOT PROTOCOL

One workflow, one buyer, one success metric, one replayable output. Start narrow, then expand into the control graph.

30-day shadow run

DEFENSIBILITY

Subgraph deltas, blessed outputs, scenario scopes, dependency invalidation, and trace hooks compound by deployment.

customer semantics become the map

GO-TO-MARKET

Land where graph errors are expensive, then expand into memory, evals, audit, and autonomous operations.

operator pain before platform pitch
90-DAY MOTION

Capsule-to-company plan

  • days 0-14Pick one capsule, import a narrow real workflow, define blessed outputs and failure modes.
  • days 15-30Run a shadow pilot with replay, invalidation, and proof artifacts against the incumbent process.
  • days 31-60Turn the pilot into a repeatable capsule pack: schema, demo data, eval suite, security memo, buyer deck.
  • days 61-90Close design partners, price the control plane, and prove expansion from one graph wedge to platform usage.
INVESTOR THESIS

Why this can be venture-scale

Agent era: autonomous systems need persistent, queryable, replayable memory and tool traces.

Enterprise wedge: regulated and complex operators already pay for control, audit, and recomputation correctness.

Platform pull: each capsule starts narrow, then pulls in graph storage, evals, security, and orchestration.

Proof posture: every capsule produces replayable outputs, source links, and a clear success metric.

graphsub@cloud:~/graphsub$ graphsub market --compare puppygraph,neo4j,memgraph,tigergraph,neptune

04

Competitive market map

OFFICIAL SOURCES · JUL 2026 REFRESH
VENDORS
COMPARE://PUPPYGRAPHSOURCE-LINKED

PuppyGraph

BEST AT
STACK POSTURE
QUERY SURFACE
WHY THEY WIN
GRAPHSUB MOVE
AXIS SCORECARD
MATRIX://DO_NOT_FIGHT_COMMODITY_GRAPH_WARS
PUBLIC_STATS://COMPETITOR_EVIDENCEPUBLIC SOURCES · SOURCE-LINKED

Competitor context is linked to public sources so teams can compare architecture, query model, and deployment posture quickly.

graphsub@cloud:~/graphsub$ graphsub bench --compare all --fast · graphsub market --stats all

05

Expanded benchmark map

MEASURED LANES + PUBLIC CLAIM LANES
BENCH[IDLE]
all competitors shown · GraphSub performance lane · peer and market context lanes
BENCH_ALL://FAST_PUBLIC_NORMALIZERMEASURED + CLAIMED LANES

Use this map to understand where GraphSub wins: low-latency graph operations, agent memory, replay, and capsule workflows.

graphsub@cloud:~/graphsub$ graphsub openontology --tree · objects, links, actions, functions, scenarios, and permissions

06

OpenOntology on boot

65,536 CONCEPTS · 512-TYPE KERNEL · REALTIME
ONTOLOGY://TREE

      
ALGORITHMS://PAGERANK[LIVE CAPTURE]

$ pagerank --top 8 · POST /api/v1/shards/0/algorithms/pagerank

OpenOntology binds object types, link types, shared properties, actions, functions, interfaces, object sets, scenarios, provenance, permissions, and agent runtime state. 8 algorithms live: pagerank · betweenness · closeness · katz · shortest_path · all_shortest_paths · community_detection · connected_components.

graphsub@cloud:~/graphsub$ graphsub billing --explain

07

One meter. No surprises.

GSU · $0.10 PER 1,000
GSU://CONVERSIONS
ALL USAGE CONVERTS TO GSU (GraphSub Units) — ONE METRIC ACROSS CYPHER · REST · GRAPHQL$0.10 / 1,000 GSU
1 Node
1 GSU
1K Ops
10 GSU
1K Traversals
2 GSU
1 Vector Query
5 GSU
1K Analytics
25 GSU
1 LLM Extract
50 GSU
FREE
$0 forever
  • 100K nodes
  • 50K GSU / month
  • All features
  • Community support
  • No credit card required
initialize_free_tier
▸ MOST POPULAR
PAY-AS-YOU-GO
$0.10 / 1K GSU
  • Unlimited nodes + GSU
  • 100 req/s
  • 3 projects
  • Email support
start metering
▸ BEST VALUE
COMMITTED USE
−25% volume
  • Discounts at $10K / $25K / $50K / $100K per month
  • Dedicated support
  • Custom limits
talk to us

Teams need SSO, audit, SLAs? Platform seats: Pro $99/seat · Enterprise $499/seat — docs.

Ready for the agent era?

Start free. Scale to millions. No credit card required.

graphsub@cloud:~$ initialize_free_tier --now

initialize_free_tier