ai ml workflow/launched

YantrikDB

Embedded vector DB with cognitive memory APIs for AI agents.

https://yantrikdb.com

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verification

L1

Ownership verified · GitHub repo admin: yantrikos/yantrikdb

Ownership verified — not quality endorsement. icantmarket verifies control of listed assets only. last rechecked 7/3/2026.

stars

41

forks

8

created

Feb 2026

pushed

Jul 2026

active ask · launch

Newly published utility patent application covers relevance-conditioned scoring and the cognitive state graph architecture. Looking for one set of eyes — especially anyone who has built vector search at scale or shipped memory for autonomous agents — to read the architecture overview and tell me one thing they would do differently.

Looking for:
Anyone running production AI agents or building vector-search infrastructure. Strong bonus if you have shipped a vector DB or memory system.
Time:
30m
In return:
I will read your memory layer or vector backend with the same lens and send back one concrete suggestion.
Closes:
6/16/2026

Success means: I get one architectural objection that makes me reconsider something I assumed was settled.

Posts · 1

Recent activity · 5

GitHub releases · PyPI downloads · npm versions

  • release

    v0.10.0 — the Reliability release

    **Item 4 (Reliability) is complete: all 13 trace contracts implemented and release-blocking.** This release was validated as a coordinated train — yantrikdb-server (2,118 tests) and yantrikdb-mcp (con

    github releases · 7/17/2026, 7:15:02 PM

  • release

    v0.9.4 — cold-tier recall decompression fix

    ## v0.9.4 — hotfix Fixes [#62](https://github.com/yantrikos/yantrikdb/issues/62): **cold-tier recall scores were silently wrong** — garbage similarities always, and a chance NaN that poisoned the res

    github releases · 7/14/2026, 4:15:02 AM

  • release

    v0.9.3 — contract gate, isolation repair, 7.4× distance path

    ## v0.9.3 — correctness + performance train Items 1–3 of the converged improvement plan (designed in a two-round debate with gpt-5.6-sol, grounded in code audit), plus a measured speed/accuracy progr

    github releases · 7/14/2026, 2:15:02 AM

  • release

    v0.9.2 — NaN-safe recall

    ## v0.9.2 — patch Fixes [#60](https://github.com/yantrikos/yantrikdb/issues/60): a NaN-valued embedding could **panic the process** during `recall()` / `procedure(action="surface")`. ### Root cause

    github releases · 7/10/2026, 11:15:02 PM

  • release

    v0.9.1 — set_embedder_named works with the worker pool running

    ## v0.9.1 — patch Fixes a **v0.9.0 regression** ([#58](https://github.com/yantrikos/yantrikdb/issues/58)): `set_embedder_named()` always failed with *"requires exclusive access to the engine"*, regar

    github releases · 6/29/2026, 8:15:01 PM

Audit log · 3

Public · append-only

  • 7/3/2026, 4:00:02 AMreverifiedtrust=L1
  • 6/2/2026, 6:42:20 AMverifiedtrust=L1
  • 6/2/2026, 6:42:20 AMclaimedtrust=L1