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Changelog

This changelog highlights user-facing changes only. Internal maintenance, CI/CD, and infrastructure updates are omitted.

For full release details, see GitHub Releases.

0.8.6

Features

  • Added an independent Internet Research workflow across the API, Control Plane, and Cortex tooling, including optional SearXNG metasearch, Firecrawl extraction, and a dedicated /internet/research live-web reasoning endpoint that does not read or write bank memory. (5fd11ec)
  • Added a guarded retain-draft handoff for curated web findings so operators can move researched material into Retain only after review, with optional low-budget AI enrichment behind deterministic acceptance checks. (5fd11ec)

Docs And SDKs

  • Regenerated the OpenAPI and SDK contracts for the new internet research surface and expanded the developer docs with stack setup, configuration, and workflow guidance for the live-web research feature set. (5fd11ec)

0.8.5

Release Reliability

  • Fixed the release Docker dependency lane by pinning tree-sitter-language-pack to the CPython 3.11-compatible wheel range used by the published images.
  • Fixed the GitHub Pages docs deployment trigger so large release pushes on main cannot silently skip docs publishing due to GitHub's 300-file path-filter diff limit.

0.8.4

Features

  • Added the new admin operating surface and built-in llamacpp local-GGUF runtime, including superuser-gated /v1/admin/* endpoints and control-plane admin workflows. (5b009e7)
  • Added single-file codebase import so teams can ingest, review, and hydrate one source file at a time through the API and control plane. (13c3cab)
  • Upgraded brain, graph, and entity intelligence with stronger semantic signals, richer graph-state metrics, and refreshed control-plane visualizations. (2188a8e)

Docs And SDKs

  • Regenerated the Python, TypeScript, Go, and Rust SDK contracts and expanded the developer docs, release posts, and docs UX around admin APIs, local LLMs, code intelligence, and brain intelligence. (6d74710)

0.8.3

Bug Fixes

  • Fixed Rust CLI compatibility with regenerated Rust client models by handling optional fields and status enums safely, preventing release-lane build breaks.

Release Reliability

  • Hardened Rust client OpenAPI sanitization by namespacing inline schema titles to avoid typify enum collisions during code generation.
  • Added Rust CLI contract checks to client generation and release preflight so SDK regeneration failures are caught before tagging.

0.8.2

Bug Fixes

  • Fixed the LiteLLM and CrewAI Python integration package layout so released artifacts line up with the documented atulya_litellm and atulya_crewai import names.

0.8.1

Features

  • Added ASD-first Codebases: ZIP or GitHub-backed repo import, deterministic parsing, chunk review queue, repo map, symbol search, impact analysis, and selective memory hydration. (c6e2653)
  • Added explicit memory-ingest choices for reviewed codebase chunks, including ASD Direct and Retain Pipeline. (7055137)
  • Added Graph Intelligence to the Control Plane: a state-first graph for seeing what changed, an evidence graph for raw proof, analyst-driven investigation, and scalable overview/neighborhood graph exploration. (f5aabf8)

Improvements

  • Improved Codebases GitHub imports, pending-job cancellation, and developer workbench UX for large repos. (42281bc)
  • Improved Codebases memory routing with approved-history visibility and queue-backed hydration flows. (f88ff1e)
  • Added async Reflect across the API and Control Plane so long-running reasoning work can run safely through operations. (a965005)

Docs

  • Elevated Codebases across the developer docs, including released 0.8 docs sync, a dedicated coding-agent guide, and stronger landing-page navigation. (6747b1c)

0.8.0

Features

  • Added Webhooks with consolidation.completed and retain.completed events. (abbf874d)

Improvements

  • Improved OpenClaw recall/retention controls. (d425e93c)
  • Improved search/reranking quality by switching combined scoring to multiplicative boosts. (aa8e5475)
  • Improved performance of observation recall by 40x on large banks. (ad2cf72a)
  • Improved server shutdown behavior by capping graceful shutdown time and allowing a forced kill on a second Ctrl+C. (4c058b4b)

Bug Fixes

  • Fixed an async deadlock risk by running database schema migrations in a background thread during startup. (e0a2ac63)
  • Fixed webhook delivery/outbox processing so transactions don’t silently roll back due to using the wrong database schema name. (75b95106)
  • Fixed observation results to correctly resolve and return related chunks using source_memory_ids. (cb6d1c46)
  • Fixed MCP bank-level tool filtering compatibility with FastMCP 3.x. (f17406fd)
  • Fixed crashes when an LLM returns invalid JSON across all retries (now handled cleanly instead of raising a TypeError). (66423b85)
  • Fixed observations without source dates to preserve missing (None) temporal fields instead of incorrectly populating them. (891c33b1)

0.4.15

Features

  • Added observation_scopes to control the granularity/visibility of observations. (55af4681)
  • List documents API now supports filtering by tags (and fixes the q parameter description). (1d70abfe)
  • Added PydanticAI integration for persistent agent memory. (cab5a40f)
  • Added richer entity label support (optional labels, free-form values, multi-value fields, and UI polish). (9b96becc)
  • Added support for timestamp="unset" so content can be retained without a date. (f903948a)
  • OpenClaw can now automatically retain the last n+2 turns every n turns (default n=10). (ad1660b3)
  • Added configurable Gemini/Vertex AI safety settings for LLM calls. (73ef99e7)
  • Added extension hooks to customize root routing and error headers. (e407f4bc)

Improvements

  • Improved recall performance by fetching all recall chunks in a single query. (61bf428b)
  • Improved recall/retain performance and scalability for large memory banks. (7942f181)

Bug Fixes

  • Fixed the TypeScript SDK to send null (not undefined) when includeEntities is false. (15f4b876)
  • Prevented reflect from failing with context_length_exceeded on large memory banks. (77defd96)
  • Fixed a consolidation deadlock caused by retrying after zombie processing tasks. (c2876490)
  • Fixed observations count in the control plane that always showed 0. (eaeaa1f2)
  • Fixed ZeroEntropy rerank endpoint URL and ensured the MCP retain async_processing parameter is handled correctly. (f6f1a7d8)
  • Fixed JSON serialization issues and logging-related exception propagation when using the claude_code LLM provider. (ecb833f4)
  • Added bank-scoped request validation to prevent cross-bank/invalid bank operations. (5270aa5a)

0.4.14

Features

  • Add Chat SDK integration to give chatbots persistent memory. (fed987f9)
  • Allow configuring which MCP tools are exposed per memory bank, and expand the MCP tool set with additional tools and parameters. (3ffec650)
  • Enable the bank configuration API by default. (4d030707)
  • Support filtering graph-based memory retrieval by tags. (0bb5ca4c)
  • Add batch observations consolidation to process multiple observations more efficiently. (0aa7c2b3)
  • Add OpenClaw options to toggle autoRecall and exclude specific providers. (3f9eb27c)
  • Add a ZeroEntropy reranker provider option. (17259675)

Improvements

  • Increase customization options for reflect, retain, and consolidation behavior. (2a322732)
  • Include source document metadata in fact extraction results. (87219b73)

Bug Fixes

  • Raise a clear error when embedding dimensions exceed pgvector HNSW limits (instead of failing later at runtime). (8cd65b98)
  • Fix multi-tenant schema isolation issues in storage and the bank config API. (b180b3ad)
  • Ensure LiteLLM embedding calls use the correct float encoding format to prevent embedding failures. (58f2de70)
  • Improve recall performance by reducing memory usage during retrieval. (9f0c031d)
  • Handle observation regeneration correctly when underlying memories are deleted. (ac9a94ad)
  • Fix reflect retrieval to correctly populate dependencies and enforce full hierarchical retrieval. (8b1a4658)
  • Fix OpenClaw health checks by passing the auth token to the health endpoint. (40b02645)

0.4.13

Features

  • Switched the default OpenAI LLM to gpt-4o-mini. (325b5cc1)
  • Observation recall now includes the source facts behind recalled observations. (5569d4ad)
  • Added CrewAI integration to enable persistent memory. (41db2960)

Bug Fixes

  • Fixed npx atulya-control-plane failing to run. (0758827d)
  • Improved MCP compatibility by aligning the local MCP implementation with the server and removing the deprecated stateless parameter. (ea8163c5)
  • Fixed Docker startup failures when using named Docker volumes. (ac739487)
  • Prevented reranker crashes when an upstream provider returns an error. (58c4d657)
  • Improved accuracy of fact temporal ordering by reducing per-fact time offsets. (c3ef1555)
  • Client timeout settings are now properly respected. (dcaa9f14)
  • Fixed documents not being tracked when fact extraction returns zero facts. (f78278ea)

0.4.12

Features

  • Accept and ingest PDFs, images, and common Office documents as inputs. (224b7b74)
  • Add the Iris file parser for improved document parsing support. (7eafba66)
  • Add async Retain support via provider Batch APIs (e.g., OpenAI and Groq) for higher-throughput ingestion. (40d42c58)
  • Allow Recall to return chunks only (no memories) by setting max_tokens=0. (7dad9da0)
  • Add a Go client SDK for the Atulya API. (2a47389f)
  • Add support for the pgvectorscale (DiskANN) vector index backend. (95c42204)
  • Add support for Azure pg_diskann vector indexing. (476726c2)

Improvements

  • Improve reliability of async batch Retain when ingesting large payloads. (aefb3fcf)
  • Improve AI SDK tooling to make it easier to work with Atulya programmatically. (d06a0259)

Bug Fixes

  • Ensure document tags are preserved when using the async Retain flow. (b4b5c44a)
  • Fix OpenClaw ingestion failures for very large content (E2BIG). (6bad6673)
  • Harden OpenClaw behavior (safer shell usage, better HTTP mode handling, and more reliable initialization), including per-user banks support. (c4610130)
  • Improve Python client async API consistency and reduce connection drop issues via keepalive timeout fixes. (8114ef44)

0.4.11

Features

  • Added support for LiteLLM SDK as an embeddings and reranking provider. (e408b7e)
  • Expanded Postgres search support with additional text/vector extensions, including TimescaleDB pg_textsearch and vchord/pgvector options. (d871c30)
  • Added hierarchical configuration scopes (system, tenant, bank) for more flexible multi-tenant setup and overrides. (8d731f2)
  • Added reverse proxy/base-path support for running Atulya behind a proxy. (93ddd41)
  • Added MCP tools to create, read, update, and delete mental models. (f641b30)
  • Added a "docs" skill for agents/tools to access documentation-oriented capabilities. (dd1e098)
  • Added an OpenClaw configuration option to skip recall/retain for specific providers. (fb7be3e)

Improvements

  • Improved LiteLLM gateway model configuration for more reliable provider/model selection. (7d95a00)
  • Exposed actual LLM token usage in retain results to improve cost/usage visibility. (83ca669)
  • Added user-initiated attribution to request context to improve async task and usage attribution. (90be7c6)
  • Added OpenTelemetry tracing for improved request traceability and observability. (69dec8e)
  • Helm chart: split TEI embedding and reranker into separate deployments for independent scaling and rollout. (43f9a8b)
  • Helm chart: added PodDisruptionBudgets and per-component affinity controls for more resilient scheduling. (9943957)

Bug Fixes

  • Fixed a recursion issue in memory retention that could cause failures or runaway memory usage. (4f11210)
  • Fixed Reflect API serialization/schema issues for "based_on" so reflections are returned and stored correctly. (f9a8a8e)
  • Improved MCP server compatibility by allowing extra tool arguments when appropriate and fixing bank ID resolution priority. (7ee229b)
  • Added missing trust_code environment configuration support. (60574ee)
  • Hardened the MCP server with fixes to routing/validation and more accurate usage metering. (e798979)
  • Fixed the slim Docker image to include tiktoken to prevent runtime tokenization errors. (6eec83b)
  • Fixed MCP operations not being tracked correctly for usage metering. (888b50d)
  • Helm chart: fixed GKE deployments overriding the configured ATULYA_API_PORT. (03f47e2)

0.4.10

Features

  • Provided a slimmer Docker distribution to reduce image size and speed up pulls. (f648178)
  • Added Markdown support in Reflect and Mental Models content. (c4ef090)
  • Added built-in Supabase tenant extension for running Atulya with Supabase-backed multi-tenancy. (e99ee0f)
  • Added TenantExtension authentication support to the MCP endpoint. (fedfb49)

Improvements

  • Improved MCP tool availability/routing based on the endpoint being used. (d90588b)

Bug Fixes

  • Stopped logging database usernames and passwords to prevent credential leaks in logs. (c568094)
  • Fixed OpenClaw sessions wiping memory on each new session. (981cf60)
  • Fixed atulya-embed profiles not loading correctly. (0430588)
  • Fixed tagged directives so they correctly apply to tagged mental models. (278718d)
  • Fixed a cast error that could cause failures at runtime. (093ecff)

Other

  • Added a docker-compose example to simplify local deployment and testing. (5179d5f)

0.4.9

Features

  • New AI SDK integration. (7e339e1)
  • Add a Python SDK for running Atulya in embedded mode (AtulyaEmbedded). (d3302c9)
  • Add streaming support to the atulya-litellm wrappers. (665877b)
  • Add OpenClaw support for connecting to an external Atulya API and using dynamic per-channel memory banks. (6b34692)

Improvements

  • Improve the mental models experience in the control plane UI. (7097716)
  • Reduce noisy Hugging Face logging output. (34d9188)

Bug Fixes

  • Improve recall endpoint reliability by handling timeouts correctly and rejecting overly long queries. (dd621a6)
  • Improve /reflect behavior with Claude Code and Codex providers. (a43d208)
  • Fix OpenClaw shell argument escaping for more reliable command execution. (63e2964)

0.4.8

Features

  • Added profile support for atulya-embed, enabling separate embedding configurations/workspaces. (6c7f057)
  • Added support for additional LLM backends, including OpenAI Codex and Claude Code. (539190b)

Improvements

  • Enhanced OpenClaw and atulya-embed parameter/config options for easier configuration and better defaults. (749478d)
  • Added OpenClaw plugin configuration options to select LLM provider and model. (8564135)
  • Server now prints its version during startup to simplify debugging and support requests. (1499ce5)
  • Improved tracing/debuggability by propagating request context through asynchronous background tasks. (44d9125)
  • Added stronger validation and context for mental model create/refresh operations to prevent invalid requests. (35127d5)

Bug Fixes

  • Improved embedding CLI experience with richer logs and isolated profiles to avoid cross-contamination between runs. (794a743)
  • Operation validation now runs correctly in the worker process, preventing invalid background operations from slipping through. (96f0e54)
  • Fixed unreliable behavior when using a custom PostgreSQL schema. (3825506)

0.4.7

Features

  • Add extension hooks to validate and customize mental model operations. (9c3fda7)
  • Add support for using an external embedding API provider in OpenClaw plugin (with additional OpenClaw compatibility fixes). (4b57b82)

Improvements

  • Speed up container startup by preloading the tiktoken encoding during Docker image builds. (039944c)

Bug Fixes

  • Prevent PostgreSQL insert failures by stripping null bytes from text fields before saving. (ef9d3a1)
  • Fix worker schema selection so it uses the correct default database schema. (d788a55)
  • Honor an already-set ATULYA_API_DATABASE_URL instead of overwriting it in the atulya-embed workflow. (f0cb192)

0.4.6

Improvements

  • Improved OpenClaw configuration setup to make embedding integration easier to configure. (27498f9)

Bug Fixes

  • Fixed OpenClaw embedding version binding/versioning to prevent mismatches when using the embed integration. (1163b1f)

0.4.5

Bug Fixes

  • Fixed occasional failures when retaining memories asynchronously with timestamps. (cbb8fc6)

0.4.4

Bug Fixes

  • Fixed async “retain” operations failing when a timestamp is provided. (35f0984)
  • Corrected the OpenClaw daemon integration name to “openclaw” (previously “openclawd”). (b364bc3)

0.4.3

Features

  • Add Vertex AI as a supported LLM provider. (c2ac7d0, 49ae55a)
  • Add Bearer token authentication for MCP and propagate tenant authentication across MCP requests. (0da77ce)

Improvements

  • CLI: add a --wait flag for consolidate and a --date filter for listing documents. (ff20bf9)

Bug Fixes

  • Fix worker polling deadlocks to prevent background processing from stalling. (f4f86e3)
  • Improve reliability of Docker builds by retrying ML model downloads. (ecc590c)
  • Fix tenant authentication handling for internal background tasks and ensure the control-plane forwards required auth to the dataplane. (03bf13e)
  • Ensure tenant database migrations run at startup and workers use the correct tenant schema context. (657fe02)
  • Fix control-plane graph endpoint errors when upstream data is missing. (751f99a)

Other

  • Rename the default bot/user identity from "moltbot" to "openclaw". (728ce13)

0.4.2

Features

  • Added Clawdbot/Moltbot/OpenClaw integration. (12e9a3d)

Improvements

  • Added additional configuration options to control LLM retry behavior. (3f211f0)
  • Added real-time logs showing a detailed timing breakdown during consolidation runs. (8781c9f)

Bug Fixes

  • Fixed atulya-embed crashing on macOS. (c16ccc2)

0.4.1

Features

  • Added support for using a non-default PostgreSQL schema by default. (2b72e1f)

Improvements

  • Improved memory consolidation performance (benchmarking and optimizations). (b43ef98)

Bug Fixes

  • Fixed the /version endpoint returning an incorrect version. (cfcc23c)
  • Fixed mental model search failing due to UUID type mismatch after text-ID migration. (94cc0a1)
  • Added safer PyTorch device detection to prevent crashes on some environments. (67c4788)
  • Fixed Python packages exposing an incorrect version value. (fccbdfe)

0.4.0

Observations, Mental Models, new Agentic Reflect and Directives, read the announcement.

Features

  • Added support for providing a custom prompt for memory extraction. (3172e99)
  • Expanded the LiteLLM integration with async retain/reflect support, cleaner API, and support for tags/mission (including passing API keys correctly). (1d4879a)
  • Added a new worker service to run background tasks at scale. (4c79240)
  • MCP retain now supports timestamps. (b378f68)
  • Added support for installing skills via npx add-skill. (ec22317)

Improvements

  • CLI retain-files now accepts more file types. (1eeced3)

Bug Fixes

  • Fixed a macOS crash in the embed daemon caused by an XPC connection issue. (e5fc6ee)
  • Fixed occasional extraction in the wrong language. (87d4a36)
  • Fixed PyTorch model initialization issues that could cause startup failures (meta tensor/init problems). (ddaa5f5)

Features

  • Add memory tags so you can label and filter memories during recall/reflect. (20c8f8b)
  • Allow choosing different AI providers/models per operation. (e6709d5)
  • Add Cohere support for embeddings and reranking. (4de0730)
  • Add configurable embedding dimensions and OpenAI embeddings support. (70de23e)
  • Support custom base URLs for OpenAI-style embeddings and Cohere endpoints. (fa53917)
  • Add LiteLLM gateway support for routing LLM/embedding requests. (d47c8a2)
  • Add multilingual content support to improve handling and retrieval across languages. (c65c6a9)
  • Add delete memory bank capability. (4b82d2d)
  • Add backup/restore tooling for memory banks. (67b273d)

Improvements

  • Add retention modes to control how memories are extracted and stored. (fb31a35)
  • Add offline (optional) database migrations to support restricted/air-gapped deployments. (233bd2e)
  • Add database connection configuration options for more flexible deployments. (33fac2c)
  • Load .env automatically on startup to simplify configuration. (c06d9b4)
  • Expose an operation ID from retain requests so async/background processing can be tracked. (1dacd0e)
  • Add per-request LLM token usage metrics for monitoring and cost tracking. (29a542d)
  • Add LLM call latency metrics for performance monitoring. (5e1f13e)
  • Include tenant in metrics labels for better multi-tenant observability. (1ffc2a4)
  • Add async processing option to MCP retain tool for background retention workflows. (37fc7fb)

Bug Fixes

  • Fix extension loading in multi-worker deployments so all workers load extensions correctly. (f5f3fca)
  • Improve recall performance by batching recall queries. (5991308)
  • Improve retrieval quality and stability for large memory banks (graph/MPFP retrieval fixes). (6232e69)
  • Fix entities list being limited to 100 entities. (26bf571)
  • Fix UI only showing the first 1000 memories. (67c1a42)
  • Fix duplicated causal relationships and improve token usage during processing. (49e233c)
  • Improve causal link detection accuracy. (2a00df0)
  • Make retain max completion tokens configurable to prevent truncation issues. (7715a51)
  • Fix Python SDK not sending the Authorization header, preventing authenticated requests. (39e3f7c)
  • Fix stats endpoint missing tenant authentication in multi-tenant setups. (d6ff191)
  • Fix embedding dimension handling for tenant schemas in multi-tenant databases. (6fe9314)
  • Fix Groq free-tier compatibility so requests work correctly. (d899d18)
  • Fix security vulnerability (qs / CVE-2025-15284). (b3becb6)
  • Restore MCP tools for listing and creating memory banks. (9fd5679)

0.2.0

Features

  • Add additional model provider support, including Anthropic Claude and LM Studio. (787ed60)
  • Add multi-bank access and new MCP tools for interacting with multiple memory banks via MCP. (6b5f593)
  • Allow supplying custom entities when retaining memories via the retain endpoint. (dd59bc8)
  • Enhance the /reflect endpoint with max_tokens control and optional structured output responses. (d49e820)

Improvements

  • Improve local LLM support for reasoning-capable models and streamline Docker startup for local deployments. (eea0f27)
  • Support operation validator extensions and return proper HTTP errors when validation fails. (ce45d30)
  • Add configurable observation thresholds to control when observations are created/updated. (54e2df0)
  • Improve graph visualization to the control plane for exploring memory relationships. (1a62069)

Bug Fixes

  • Fix MCP server lifecycle handling so MCP lifespan is correctly tied to the FastAPI app lifespan. (6b78f7d)

0.1.15

Features

  • Add the ability to delete documents from the web UI. (f7ff32d)

Improvements

  • Improve the API health check endpoint and update the generated client APIs/types accordingly. (e06a612)

0.1.14

Bug Fixes

  • Fixes the embedded “get-skill” installer so installing skills works correctly. (0b352d1)

0.1.13

Improvements

  • Improve reliability by surfacing task handler failures so retries can occur when processing fails. (904ea4d)
  • Revamp the atulya-embed component architecture, including a new daemon/client model and CLI updates for embedding workflows. (e6511e7)

Bug Fixes

  • Fix memory retention so timestamps are correctly taken into account. (234d426)

0.1.12

Features

  • Added an extensions system for plugging in new operations/skills (including built-in tenant support). (2a0c490)
  • Introduced the atulya-embed tool and a native agentic skill for embedding/agent workflows. (da44a5e)

Improvements

  • Improved reliability when parsing LLM JSON by retrying on parse errors and adding clearer diagnostics. (a831a7b)

Bug Fixes

  • Fixed structured-output support for Ollama-based LLM providers. (32bca12)
  • Adjusted LLM validation to cap max completion tokens at 100 to prevent validation failures. (b94b5cf)

0.1.11

Bug Fixes

  • Fixed the standalone Docker image and control plane standalone build process so standalone deployments build correctly. (2948cb6)

0.1.10

This release contains internal maintenance and infrastructure changes only.

0.1.9

Features

  • Simplified local MCP installation and added a standalone UI option for easier setup. (1c6acc3)

Bug Fixes

  • Fixed the standalone Docker image so it builds and starts reliably. (b52eb90)
  • Improved Docker runtime reliability by adding required system utilities (procps). (ae80876)

0.1.8

Bug Fixes

  • Fix bank list responses when a bank has no name. (04f01ab)
  • Fix failures when retaining memories asynchronously. (63f5138)
  • Fix a race condition in the bank selector when switching banks. (e468a4e)

0.1.7

This release contains internal maintenance and infrastructure changes only.

0.1.6

Features

  • Added support for the Gemini 3 Pro and GPT-5.2 models. (bb1f9cb)
  • Added a local MCP server option for running/connecting to Atulya via MCP without a separate remote service. (7dd6853)

Improvements

  • Updated the Postgres/pg0 dependency to a newer 0.11.x series for improved compatibility and stability. (47be07f)

0.1.5

Features

  • Added LiteLLM integration so Atulya can capture and manage memories from LiteLLM-based LLM calls. (dfccbf2)
  • Added an optional graph-based retriever (MPFP) to improve recall by leveraging relationships between memories. (7445cef)

Improvements

  • Switched the embedded Postgres layer to pg0-embedded for a smoother local/standalone experience. (94c2b85)

Bug Fixes

  • Fixed repeated retries on 400 errors from the LLM, preventing unnecessary request loops and failures. (70983f5)
  • Fixed recall trace visualization in the control plane so search/recall debugging displays correctly. (922164e)
  • Fixed the CLI installer to make installation more reliable. (158a6aa)
  • Updated Next.js to patch security vulnerabilities (CVE-2025-55184, CVE-2025-55183). (f018cc5)

0.1.3

Improvements

  • Improved CLI and UI branding/polish, including new banner/logo assets and updated interface styling. (fa554b8)

0.1.2

Bug Fixes

  • Fixed the standalone Docker image so it builds/runs correctly. (1056a20)