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Releases: fossillogic/fossil-ai

v0.1.3

11 Aug 19:19
d1c2fe1

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This PR greatly extends the data being processed for each block of memory, adds, cross-reference, multi-hope, stronger NLP capabilities, better IoChat interface. Also bug fixes.

   # ======================
   # Git Wrap package definition
   # ======================
   [wrap-git]
   url = https://github.com/fossillogic/fossil-jellyfish.git
   revision = v0.1.3

   [provide]
   fossil-jellyfish = fossil_fish_dep

v0.1.2

28 Jul 03:45
1de92ac

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New sub-libraries for Io chat and natural langugae processing along with a stronger hashing algorithm.

   # ======================
   # Git Wrap package definition
   # ======================
   [wrap-git]
   url = https://github.com/fossillogic/fossil-jellyfish.git
   revision = v0.1.2

   [provide]
   fossil-jellyfish = fossil_fish_dep

v0.1.1

25 Jul 04:30
f534b39

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The hash algorithm in Jellyfish AI has been upgraded to enhance both consistency and temporal uniqueness across devices. Previously relying on fixed or placeholder inputs, the new implementation generates a 64-bit salt using environment-derived identifiers such as usernames, home directories, and system-specific variables. This approach ensures portability across platforms while still producing a stable fingerprint unique to the user’s environment. Additionally, the core FNV-1a hashing routine remains, preserving its fast performance and low collision rate. The result is a more reliable and context-aware identity hash that supports Jellyfish’s memory blockchain, enabling better traceability, replay resistance, and system-specific reasoning.

The updated JellyDSL introduces two key enhancements to improve trust and traceability in AI memory blocks: hardware signature and time-based metadata. The hardware signature—captured via origin_device_id and signature fields—binds each block to a unique device identity, enabling device-level accountability and tamper detection. Complementing this, the inclusion of timestamps like created_at, updated_at, and per-block timestamp, delta_ms, and duration_ms supports time-based decay and lifecycle tracking of learned data. Together, these features reinforce the integrity, authenticity, and temporal reasoning capabilities of Truthful Intelligence systems.

And much more.

   # ======================
   # Git Wrap package definition
   # ======================
   [wrap-git]
   url = https://github.com/fossillogic/fossil-jellyfish.git
   revision = v0.1.1

   [provide]
   fossil-jellyfish = fossil_fish_dep

v0.1.0

27 Jun 16:15
163567c

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First release of Jellyfish AI:

   # ======================
   # Git Wrap package definition
   # ======================
   [wrap-git]
   url = https://github.com/fossillogic/fossil-jellyfish.git
   revision = v0.1.0

   [provide]
   fossil-jellyfish = fossil_fish_dep