Tier
Section
Showing 912 / 912 records

What each bucket means for a reader

Active

166

A release or commit in the last 12 months. Use confidently — the project is shipping. The Active cohort is the working answer to "what is alive in this space right now".

Stale

12

Last signal 12–24 months ago. Re-verify the README, changelog, and recent issues before recommending. A stale row is often a project on a slow cadence rather than a dead one, but the burden of proof is on the catalog user.

Abandoned

1

No signal in 24+ months. Treat as historical: it shipped, it influenced things, but production deployments should not depend on it being maintained. The "Abandoned but cited" card below surfaces the abandoned rows the rest of the catalog still builds on.

Unknown

364

No parseable freshness signal in our cells — most often because the record is a closed-source product that does not publish a changelog. This is a limit of our signal, not a property of the system. The breakdown below shows the structure.

Research

369

Tier 3–5: papers, techniques, theoretical proposals. "Active development" is the wrong frame — these contribute ideas, not maintained codebases. Where a research record has a stale public repo AND is still cited, it surfaces in the "Abandoned but cited" card.

Unknown bucket — what's actually in there?

The Unknown bucket dominates the catalog (364 / 912 rows). Most of that is structural — closed-source products with no public release cadence — not evidence of abandonment. The breakdown below makes that structure visible.

  • Closed-source, internal status unknown 323 · 89% of Unknown

    Proprietary products with no public release cadence. Common for T1 commercial vendors. The catalog cannot observe their internal status — this is a limit of our signal, not a property of the system.

  • OSS but signal-too-weak 41 · 11% of Unknown

    Has a GitHub presence but we did not capture a parseable "last commit" date in the cell. Fixable by deeper data collection on these specific rows.

  • Newly created (< 6mo) 0 · 0% of Unknown

    Created in the last 6 months. Too new to assess freshness — re-check at the next snapshot.

  • N/A (research/benchmark-only) 0 · 0% of Unknown

    Genuinely not applicable: benchmark or evaluation harness mislabelled as a product, or a record that explicitly carries no operational signal.

Abandoned but still cited

The most actionable finding of this view. These rows show as Abandoned (or as research with a stale public repo) yet remain load-bearing in the catalog — other systems still cite them, build on them, or integrate against them. Re-verify before any new work depends on them; consider the lineage and the active siblings. Score = inbound integrations × 3 + inbound citations.

#1 Compressive Transformer T3

Recent method papers — theorized, no distinct product

lineage EWC (Elastic Weight Consolidation) family

Score
10
Integrations
0
Citations
10
Last signal
55mo ago

last commit 2021-10 (55mo)

#2 EMAT T3

Recent method papers — theorized, no distinct product

lineage EWC (Elastic Weight Consolidation) family

Score
3
Integrations
0
Citations
3
Last signal
41mo ago

last commit 2022-12 (41mo)

#3 EWC (Elastic Weight Consolidation) T3

Recent method papers — theorized, no distinct product

lineage EWC (Elastic Weight Consolidation) family

Score
3
Integrations
0
Citations
3
Last signal
72mo ago

last commit 2020-05 (72mo)

#4 Memformer T3

Recent method papers — theorized, no distinct product

lineage EWC (Elastic Weight Consolidation) family

Score
2
Integrations
0
Citations
2
Last signal
66mo ago

last commit 2020-11 (66mo)

#5 MemBART T4

Recent method papers — theorized, no distinct product

lineage EWC (Elastic Weight Consolidation) family

Score
1
Integrations
0
Citations
1
Last signal
35mo ago

last commit 2023-06 (35mo)

Per-section survivorship

Each row shows one section. The proportion bar gives the status mix at a glance; the dot strip below shows the individual records. Rows are ordered by aging score (stale + abandoned share, excluding research) — so the section with the most-quiet maintained surface surfaces first.

Foundation models (substrate reference)

13 rows aging 62% 5 7 1

Embedding & reranker services

11 rows aging 20% 2 2 6 1

Coding-agent memory

11 rows aging 9% 2 1 8

Voice agent platforms

13 rows aging 8% 1 12

Dedicated memory layers

41 rows aging 3% 24 1 14 2

Recent method papers — theorized, no distinct product

191 rows aging 0% 8 4 179

Use-case-specific agent harnesses

87 rows aging 0% 45 42

Vertical / domain-specific AI memory

64 rows aging 0% 56 8

Training infrastructure

51 rows aging 0% 27 13 11

Agent frameworks (no first-party memory layer)

39 rows aging 0% 21 7 11

Retrieval-as-memory hybrids

37 rows aging 0% 1 36

Agent IDEs & coding harnesses

32 rows aging 0% 4 25 3

Memory benchmarks & evaluation

32 rows aging 0% 1 3 28

Framework-embedded memory

31 rows aging 0% 11 13 7

Personal AI / PKM / lifelogging memory

20 rows aging 0% 2 18

Claude Code memory mechanisms

19 rows aging 0% 15 4

Knowledge-graph platforms

17 rows aging 0% 2 15

Robotics foundation models & agent stacks

15 rows aging 0% 10 5

Vector-database infrastructure

15 rows aging 0% 5 10

Search platforms (non-memory)

15 rows aging 0% 5 8 2

Platform-provider memory

15 rows aging 0% 7 7 1

Inference platforms & gateways

15 rows aging 0% 6 9

Evaluation & observability platforms

15 rows aging 0% 6 8 1

Theoretical / informal — ideas without a paper

14 rows aging 0% 14

File-backed / editor paradigms

13 rows aging 0% 1 12

Computer-use & desktop agents

13 rows aging 0% 1 10 2

Multi-agent orchestration platforms

12 rows aging 0% 9 3

Voice-first / wearable AI memory

11 rows aging 0% 3 7 1

Research / specialised systems

10 rows aging 0% 1 9

AI sandbox & runtime environments

10 rows aging 0% 8 2

Enterprise-search adjacencies

9 rows aging 0% 1 8

Memory governance, privacy & safety

8 rows aging 0% 1 6 1

Browser-agent memory

8 rows aging 0% 3 5

Memory observability & monitoring

5 rows aging 0% 1 4

Active cohort — when were the alive systems born?

Histogram of the Active bucket's created dates, bucketed by year-quarter. Shows the age distribution of the alive systems: a back-loaded shape means the field is fresh (most live systems are young); a front-loaded shape means the field has mature winners that keep shipping.

2 2016-Q1
2016-Q2
2016-Q3
2016-Q4
1 2017-Q1
2017-Q2
2017-Q3
2017-Q4
5 2018-Q1
2018-Q2
2018-Q3
2018-Q4
5 2019-Q1
2019-Q2
1 2019-Q3
2019-Q4
6 2020-Q1
3 2020-Q2
2020-Q3
2020-Q4
6 2021-Q1
2021-Q2
2021-Q3
2021-Q4
7 2022-Q1
1 2022-Q2
2022-Q3
3 2022-Q4
24 2023-Q1
5 2023-Q2
6 2023-Q3
3 2023-Q4
13 2024-Q1
1 2024-Q2
4 2024-Q3
9 2024-Q4
4 2025-Q1
10 2025-Q2
15 2025-Q3
11 2025-Q4
9 2026-Q1
12 2026-Q2