H-6617: Create custom graph rendering pipeline inside frontend by indietyp · Pull Request #8952 · hashintel/hash

indietyp · 2026-07-03T16:17:03Z

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🚢 Has this modified a publishable library?

This PR:

does not modify any publishable blocks or libraries, or modifications do not need publishing
modifies an npm-publishable library and I have added a changeset file(s)
modifies a Cargo-publishable library and I have amended the version
modifies a Cargo-publishable library, but it is not yet ready to publish
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The changes in this PR:

are internal and do not require a docs change
are in a state where docs changes are not yet required but will be
- this is tracked in: Insert Link Here
require changes to docs which are made as part of this PR
require changes to docs which are not made in this PR
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The changes in this PR:

do not affect the execution graph
affected the execution graph, and the turbo.json's have been updated to reflect this
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📹 Demo

feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: embedding clustering feat: embedding clustering feat: embedding clustering feat: embedding clustering feat: checkpoint feat: checkpoint feat: checkpoint fix: merge feat: checkpoint feat: checkpoint feat: checkpoint fix: merge feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint] feat: checkpoint] feat: checkpoint] feat: checkpoint feat: checkpoint

…tity-graph, INIT -> INIT_ENTITY

…flat seed/edge writer

…asses

Scene, callbacks, picking, interactions, selection, hover-tracking, hub-labels, and node-icons (renamed from entity-icons) now work against a generic SceneHandle<NodeId>, implemented by both worker connections. Flat edge hover resolves through the handle (link entity card vs link-type edge card), and hub-label thresholds become a per-host LabelPolicy scene option.

github-advanced-security · 2026-07-17T10:33:21Z

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clippy found more than 20 potential problems in the proposed changes. Check the Files changed tab for more details.

semgrep-code-hashintel · 2026-07-17T10:46:57Z

+    );
+    const neighbours: NetworkGraphPoint[] = [];
+    const edges: NetworkGraphEdge[] = [];
+    const count = 3 + Math.floor(Math.random() * 4);


Semgrep identified an issue in your code:
crypto.pseudoRandomBytes()/Math.random() is a cryptographically weak random number generator.

To resolve this comment:

🔧 No guidance has been designated for this issue. Fix according to your organization's approved methods.

💬 Ignore this finding

Reply with Semgrep commands to ignore this finding.

/fp <comment> for false positive

/ar <comment> for acceptable risk

/other <comment> for all other reasons

Alternatively, triage in Semgrep AppSec Platform to ignore the finding created by node_insecure_random_generator.

_{You can view more details about this finding in the Semgrep AppSec Platform.}

semgrep-code-hashintel · 2026-07-17T10:46:58Z

+  a: NetworkGraphId,
+  b: NetworkGraphId,
+): { fromId: NetworkGraphId; toId: NetworkGraphId } =>
+  Math.random() < 0.5 ? { fromId: a, toId: b } : { fromId: b, toId: a };


Semgrep identified an issue in your code:
crypto.pseudoRandomBytes()/Math.random() is a cryptographically weak random number generator.

To resolve this comment:

🔧 No guidance has been designated for this issue. Fix according to your organization's approved methods.

💬 Ignore this finding

Reply with Semgrep commands to ignore this finding.

/fp <comment> for false positive

/ar <comment> for acceptable risk

/other <comment> for all other reasons

Alternatively, triage in Semgrep AppSec Platform to ignore the finding created by node_insecure_random_generator.

_{You can view more details about this finding in the Semgrep AppSec Platform.}

semgrep-code-hashintel · 2026-07-17T10:46:58Z

+
+/** A random offset in `[-magnitude, +magnitude]`. */
+const jitter = (magnitude: number): number =>
+  (Math.random() - 0.5) * 2 * magnitude;


Semgrep identified an issue in your code:
crypto.pseudoRandomBytes()/Math.random() is a cryptographically weak random number generator.

To resolve this comment:

🔧 No guidance has been designated for this issue. Fix according to your organization's approved methods.

💬 Ignore this finding

Reply with Semgrep commands to ignore this finding.

/fp <comment> for false positive

/ar <comment> for acceptable risk

/other <comment> for all other reasons

Alternatively, triage in Semgrep AppSec Platform to ignore the finding created by node_insecure_random_generator.

_{You can view more details about this finding in the Semgrep AppSec Platform.}

semgrep-code-hashintel · 2026-07-17T10:46:59Z

+
+/** Pick a random element; throws on an empty array (callers guard). */
+const randomChoice = <T,>(items: readonly T[]): T => {
+  const item = items[Math.floor(Math.random() * items.length)];


Semgrep identified an issue in your code:
crypto.pseudoRandomBytes()/Math.random() is a cryptographically weak random number generator.

To resolve this comment:

🔧 No guidance has been designated for this issue. Fix according to your organization's approved methods.

💬 Ignore this finding

Reply with Semgrep commands to ignore this finding.

/fp <comment> for false positive

/ar <comment> for acceptable risk

/other <comment> for all other reasons

Alternatively, triage in Semgrep AppSec Platform to ignore the finding created by node_insecure_random_generator.

_{You can view more details about this finding in the Semgrep AppSec Platform.}

+
+/** Pick a random element; throws on an empty array (callers guard). */
+const randomChoice = <T,>(items: readonly T[]): T => {
+  const item = items[Math.floor(Math.random() * items.length)];


+
+/** A random offset in `[-magnitude, +magnitude]`. */
+const jitter = (magnitude: number): number =>
+  (Math.random() - 0.5) * 2 * magnitude;


+  a: NetworkGraphId,
+  b: NetworkGraphId,
+): { fromId: NetworkGraphId; toId: NetworkGraphId } =>
+  Math.random() < 0.5 ? { fromId: a, toId: b } : { fromId: b, toId: a };


+    );
+    const neighbours: NetworkGraphPoint[] = [];
+    const edges: NetworkGraphEdge[] = [];
+    const count = 3 + Math.floor(Math.random() * 4);


…h-graph' of github.com:hashintel/hash into bm/h-6617-experiment-with-graph-rendering-inside-of-hash-graph

github-actions · 2026-07-17T16:00:34Z

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2002	$$25.9 \mathrm{ms} \pm 237 \mathrm{μs}\left({\color{gray}-0.561 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.40 \mathrm{ms} \pm 18.0 \mathrm{μs}\left({\color{gray}-0.075 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1002	$$12.1 \mathrm{ms} \pm 109 \mathrm{μs}\left({\color{gray}-3.917 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$42.3 \mathrm{ms} \pm 366 \mathrm{μs}\left({\color{gray}-1.200 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$14.6 \mathrm{ms} \pm 105 \mathrm{μs}\left({\color{gray}-2.178 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1527	$$23.8 \mathrm{ms} \pm 181 \mathrm{μs}\left({\color{gray}-1.640 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$26.4 \mathrm{ms} \pm 171 \mathrm{μs}\left({\color{gray}-0.996 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.73 \mathrm{ms} \pm 22.1 \mathrm{μs}\left({\color{gray}-0.364 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$13.2 \mathrm{ms} \pm 107 \mathrm{μs}\left({\color{gray}-3.975 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.70 \mathrm{ms} \pm 22.6 \mathrm{μs}\left({\color{gray}-3.566 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.98 \mathrm{ms} \pm 16.9 \mathrm{μs}\left({\color{gray}-1.278 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 52	$$3.32 \mathrm{ms} \pm 18.5 \mathrm{μs}\left({\color{gray}-0.921 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.08 \mathrm{ms} \pm 32.2 \mathrm{μs}\left({\color{gray}-0.350 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.52 \mathrm{ms} \pm 20.2 \mathrm{μs}\left({\color{gray}-2.208 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 108	$$4.08 \mathrm{ms} \pm 19.1 \mathrm{μs}\left({\color{gray}-0.587 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.35 \mathrm{ms} \pm 26.3 \mathrm{μs}\left({\color{gray}-1.349 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.39 \mathrm{ms} \pm 17.3 \mathrm{μs}\left({\color{gray}-3.142 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$3.98 \mathrm{ms} \pm 21.6 \mathrm{μs}\left({\color{lightgreen}-9.068 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.70 \mathrm{ms} \pm 12.8 \mathrm{μs}\left({\color{gray}-4.447 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.66 \mathrm{ms} \pm 12.7 \mathrm{μs}\left({\color{gray}-2.164 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 2	$$2.80 \mathrm{ms} \pm 16.4 \mathrm{μs}\left({\color{gray}-4.298 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$3.06 \mathrm{ms} \pm 17.8 \mathrm{μs}\left({\color{gray}-1.031 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.92 \mathrm{ms} \pm 23.4 \mathrm{μs}\left({\color{gray}1.50 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$3.14 \mathrm{ms} \pm 16.1 \mathrm{μs}\left({\color{gray}-0.335 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$3.07 \mathrm{ms} \pm 18.9 \mathrm{μs}\left({\color{lightgreen}-5.931 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.75 \mathrm{ms} \pm 9.79 \mathrm{μs}\left({\color{gray}-2.844 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 26	$$2.92 \mathrm{ms} \pm 15.1 \mathrm{μs}\left({\color{lightgreen}-5.708 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.45 \mathrm{ms} \pm 20.9 \mathrm{μs}\left({\color{gray}-2.046 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.04 \mathrm{ms} \pm 16.4 \mathrm{μs}\left({\color{gray}-2.305 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 27	$$3.31 \mathrm{ms} \pm 23.0 \mathrm{μs}\left({\color{gray}-2.108 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.40 \mathrm{ms} \pm 21.3 \mathrm{μs}\left({\color{lightgreen}-21.516 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.04 \mathrm{ms} \pm 18.7 \mathrm{μs}\left({\color{lightgreen}-22.681 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.34 \mathrm{ms} \pm 23.8 \mathrm{μs}\left({\color{lightgreen}-20.521 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$32.1 \mathrm{ms} \pm 194 \mathrm{μs}\left({\color{gray}0.582 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$69.6 \mathrm{ms} \pm 494 \mathrm{μs}\left({\color{gray}1.97 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$36.9 \mathrm{ms} \pm 1.06 \mathrm{ms}\left({\color{gray}2.79 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$37.6 \mathrm{ms} \pm 205 \mathrm{μs}\left({\color{gray}-0.970 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$42.1 \mathrm{ms} \pm 271 \mathrm{μs}\left({\color{gray}-0.630 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$33.7 \mathrm{ms} \pm 194 \mathrm{μs}\left({\color{gray}1.17 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$404 \mathrm{ms} \pm 807 \mathrm{μs}\left({\color{gray}3.81 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$86.2 \mathrm{ms} \pm 588 \mathrm{μs}\left({\color{gray}-0.497 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$70.3 \mathrm{ms} \pm 519 \mathrm{μs}\left({\color{gray}0.402 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$302 \mathrm{ms} \pm 1.29 \mathrm{ms}\left({\color{red}11.9 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$10.8 \mathrm{ms} \pm 77.9 \mathrm{μs}\left({\color{gray}-0.678 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$10.9 \mathrm{ms} \pm 60.5 \mathrm{μs}\left({\color{gray}-1.361 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$10.9 \mathrm{ms} \pm 61.0 \mathrm{μs}\left({\color{gray}-0.074 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$10.9 \mathrm{ms} \pm 62.0 \mathrm{μs}\left({\color{gray}1.16 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$10.9 \mathrm{ms} \pm 67.2 \mathrm{μs}\left({\color{gray}-2.952 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$10.9 \mathrm{ms} \pm 60.3 \mathrm{μs}\left({\color{gray}-1.063 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$11.5 \mathrm{ms} \pm 84.4 \mathrm{μs}\left({\color{gray}4.63 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$10.9 \mathrm{ms} \pm 55.4 \mathrm{μs}\left({\color{gray}0.369 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$11.0 \mathrm{ms} \pm 60.1 \mathrm{μs}\left({\color{gray}-4.731 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$11.1 \mathrm{ms} \pm 58.1 \mathrm{μs}\left({\color{gray}-0.460 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity

Function	Value	Mean	Flame graphs
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/block/v/1`	$$11.5 \mathrm{ms} \pm 55.0 \mathrm{μs}\left({\color{gray}0.627 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/book/v/1`	$$11.8 \mathrm{ms} \pm 107 \mathrm{μs}\left({\color{red}5.54 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/building/v/1`	$$11.8 \mathrm{ms} \pm 77.2 \mathrm{μs}\left({\color{gray}4.10 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/organization/v/1`	$$11.8 \mathrm{ms} \pm 84.1 \mathrm{μs}\left({\color{red}5.22 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/page/v/2`	$$12.1 \mathrm{ms} \pm 91.9 \mathrm{μs}\left({\color{red}6.39 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/person/v/1`	$$11.4 \mathrm{ms} \pm 51.7 \mathrm{μs}\left({\color{gray}0.716 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/playlist/v/1`	$$12.0 \mathrm{ms} \pm 122 \mathrm{μs}\left({\color{red}6.72 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/song/v/1`	$$11.6 \mathrm{ms} \pm 99.6 \mathrm{μs}\left({\color{gray}2.55 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1`	$$11.5 \mathrm{ms} \pm 72.2 \mathrm{μs}\left({\color{gray}2.72 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: `bf5a9ef5-dc3b-43cf-a291-6210c0321eba`	$$8.69 \mathrm{ms} \pm 73.8 \mathrm{μs}\left({\color{gray}4.52 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$58.6 \mathrm{ms} \pm 463 \mathrm{μs}\left({\color{lightgreen}-8.075 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$107 \mathrm{ms} \pm 547 \mathrm{μs}\left({\color{gray}-3.232 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$65.1 \mathrm{ms} \pm 487 \mathrm{μs}\left({\color{gray}-2.832 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$73.2 \mathrm{ms} \pm 497 \mathrm{μs}\left({\color{gray}-4.604 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$83.8 \mathrm{ms} \pm 483 \mathrm{μs}\left({\color{gray}-2.173 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$88.8 \mathrm{ms} \pm 562 \mathrm{μs}\left({\color{gray}-3.433 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$46.0 \mathrm{ms} \pm 221 \mathrm{μs}\left({\color{gray}-2.386 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$73.0 \mathrm{ms} \pm 366 \mathrm{μs}\left({\color{gray}-0.196 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$51.7 \mathrm{ms} \pm 250 \mathrm{μs}\left({\color{gray}-3.855 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$59.6 \mathrm{ms} \pm 320 \mathrm{μs}\left({\color{gray}-3.417 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$62.5 \mathrm{ms} \pm 380 \mathrm{μs}\left({\color{gray}-1.217 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$62.9 \mathrm{ms} \pm 395 \mathrm{μs}\left({\color{gray}-0.604 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$124 \mathrm{ms} \pm 426 \mathrm{μs}\left({\color{lightgreen}-7.362 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$133 \mathrm{ms} \pm 560 \mathrm{μs}\left({\color{lightgreen}-7.420 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$23.2 \mathrm{ms} \pm 138 \mathrm{μs}\left({\color{red}6.70 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$552 \mathrm{ms} \pm 867 \mathrm{μs}\left({\color{gray}2.30 \mathrm{\%}}\right) $$	Flame Graph

indietyp added 30 commits June 30, 2026 11:43

feat: performance + code review

c5fa65e

feat: performance + code review

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feat: code review

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feat: code review

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feat: code review

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feat: code review

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feat: code review

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feat: code review

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feat: checkpoint

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feat: checkpoint

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feat: checkpoint

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chore: docs

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feat: checkpoint

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feat: checkpoint

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feat: checkpoint

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feat: checkpoint

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feat: explode components

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feat: checkpoint

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feat: v2 -> v1

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feat: docs + atlas

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feat: make everything configurable!

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feat: remove the old

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temp: snapshot

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temp: snapshot II

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feat: majorization improvements + UI

77cafe5

Split worker into entity lifecycle: EntityGraphWorker under worker/en…

b00c361

…tity-graph, INIT -> INIT_ENTITY

Add type-graph worker lifecycle (INIT_TYPE): TypeGraphWorker, shared …

db355a9

…flat seed/edge writer

Split worker connection into FrameConnection base + entity/type subcl…

64c532a

…asses

indietyp added 12 commits July 17, 2026 09:36

chore: checkpoint

ff84fba

feat: checkpoint

30dca38

fix: postgres

1e03f01

chore: untrack working docs, keep locally via info/exclude

ddbea19

chore: remove salt-adjudicator (parked outside repo)

3b18de2

chore: remove atlas-tools CI wiring

0941dd3

feat: contours

76b4ca3

chore: drop unused evaluation scaffold, revert unneeded uv bump

c1544ac

chore: untrack embedding2d (local precursor)

cb2f72e

chore: move agent skill and identifier rules to own branch

e951b48

chore: shrink atlas-tools test fixtures

1460e96

chore: gitignore

ed098a9

github-advanced-security AI found potential problems Jul 17, 2026

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alex-e-leon and others added 3 commits July 17, 2026 12:36

FE-1176: create graph chart component (#9046)

8fde7c6

fix: lockfile

b947ae6

chore: untrack atlas-demo (local designer demo)

789090c

semgrep-code-hashintel Bot reviewed Jul 17, 2026

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github-advanced-security AI found potential problems Jul 17, 2026

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alex-e-leon and others added 6 commits July 17, 2026 13:07

Reset hash-frontend to main

e4b73af

feat: add DVec2 double-precision vector and tests

73d95a3

Better selected node ui in network graph

bd46a3d

feat: file ll

bbbdc10

feat: lookup APIs

466f534

Merge branch 'bm/h-6617-experiment-with-graph-rendering-inside-of-has…

62dd189

…h-graph' of github.com:hashintel/hash into bm/h-6617-experiment-with-graph-rendering-inside-of-hash-graph

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indietyp commented Jul 3, 2026

🌟 What is the purpose of this PR?

🔗 Related links

🚫 Blocked by

🔍 What does this change?

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

📜 Does this require a change to the docs?

🕸️ Does this require a change to the Turbo Graph?

⚠️ Known issues

🐾 Next steps

🛡 What tests cover this?

❓ How to test this?

📹 Demo

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github-advanced-security AI commented Jul 17, 2026

What Enabling Code Scanning Means:

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semgrep-code-hashintel Bot Jul 17, 2026

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github-actions Bot commented Jul 17, 2026

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

policy_resolution_medium

policy_resolution_none

policy_resolution_small

read_scaling_complete

read_scaling_linkless

representative_read_entity

representative_read_entity_type

representative_read_multiple_entities

scenarios

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