Topics / #cognitive-architecture

Cognitive-architecture projects on GitHub

Memory and reasoning architectures giving AI agents persistent cognition.

As of , the most-starred Cognitive-architecture projects on GitHub are cognee (32.4K stars), LongMemory (4.5K stars) and bitterbot-desktop (2.5K stars). GitHub.Locker tracks 5 Cognitive-architecture repositories with 40.3K stars combined. The fastest-growing on October 16 was cognee, with +51 stars in a day.

5Projects
40.3KStars in total
+60Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

5 projects · by stars

  1. #1 · topoteretes/cognee

    cognee

    Cognee is an open-source AI memory platform that gives AI agents persistent long-term memory across sessions, turning text, code, and conversations into a queryable knowledge graph.

    32.4K
  2. #2 · CaviraOSS/LongMemory

    LongMemory

    LongMemory is a cognitive memory engine that gives LLM applications and autonomous agents durable, temporal, governed memory instead of being stateless between sessions.

    4.5K
  3. #3 · Bitterbot-AI/bitterbot-desktop

    bitterbot-desktop

    A local-first personal AI that lives on your devices: it remembers your life, browses the web, runs code, and talks to you on WhatsApp — consolidating memory and distilling skills over time instead of starting from zero.

    2.5K
  1. 4

    cadence

    449muellerberndt/cadence · Python

    Cadence is an open research library toward general intelligence: a NumPy collection of 'brains' that compute by settling into an equilibrium and learn by detuning it, aiming to acquire skills from live experience the way animals and humans do.

  2. 5

    dsh-memory

    402FuRongJun-1999/dsh-memory · Python

    dsh-memory is a memory plugin for DeepSeek Harness (DSH) that gives AI agents persistent, cross-session memory built on a mostly non-LLM 'white-box' reasoning pipeline, a spatiotemporal knowledge graph, and auditable guardrails. It targets AGI research into self-cognition, continual learning, world models and self-improvement rather than everyday chat memory.

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