Kimi Codex Memory 1.2.0

1.2.0

• Show a native Kimi hook card when a newer stable plugin release is available,
  with the exact manual installation command. No automatic installs or Kimi upgrades.
• Check only public release metadata in a short-lived background process, at most
  once per 24 hours. Foreground hooks read local cache only; failures stay quiet.
• Deduplicate each announced version across sessions after a matched accepted turn;
  another hook blocking the input does not permanently consume the notice.
• Add optional updates.toml with enabled=false to disable both checks and notices,
  independently of memory reading and generation. No user or model credentials sent.
• Native hook cards also enter user-message context; no model-generated reminder
  or extra model request is needed. Existing memory prompts and data formats stay unchanged.

1.1.0

• Publish memory artifacts without temporary diffs, Git objects or reflogs;
  clean old processing files from the current publication without model calls.
• Retry a prepared injection when another hook blocked its prompt. Correlate
  acceptance with the matching user turn after Kimi's gate; do not claim
  exactly-once delivery. Preserve ordinary continuation deduplication.
• Bind rendering and snapshot pins to one locked selection, refresh active pins,
  and rebuild context when a long-idle session's old snapshot has been retired.
• Defer external budget, network, authentication and provider failures without
  consuming permanent source attempts. Changed model configuration re-enables
  failed sources; add explicit retry/list commands without regenerating successes.
• Launch the offline reader directly from the bundled native executable, without
  invoking Kimi's internal Node command. Model bridges remain independently isolated.
• Use independent plugin versions with a Kimi 2.1.0 minimum and unified 2.1.1
  source/testing baseline. Add minimum-host release checks and a weekly read-only
  latest-host compatibility report for maintainers; never upgrade user Kimi.

Existing memory/configuration/database formats remain supported. Old releases
are not overwritten, and no migration or full-history regeneration is required.

1.0.5

• Accept the last valid submit_memory_extraction call instead of rejecting an
  otherwise usable response with multiple calls. Invalid or unrelated later
  calls cannot hide an earlier valid submission.
• When no valid submission exists, select the largest complete, schema-valid
  JSON object from final answer text. Measure the original object's UTF-8 bytes;
  prefer the later object on a size tie. Never use reasoning or repair JSON.
• Apply the same schema, Unicode, slug and empty-result checks before selection.
  Truncated responses and invalid results still preserve existing memories and
  use per-source retries. No schema, configuration or reader migration required.
• Add three-protocol streaming and frozen-package tests for corrected tool calls,
  final-output fallback, channel isolation and unchanged batch progress.

1.0.4

• Submit extraction results through one terminal submit_memory_extraction tool,
  using Codex v2's two required string fields. Never parse answer prose or
  reasoning as the extraction result; valid tool arguments finish the job without
  a follow-up model call.
• Keep native Kimi streaming/tool/thinking handling for all three protocols.
  Default to auto for gateway compatibility; direct official OpenAI endpoints
  additionally enforce strict arguments, required tool use and no parallel calls.
• Validate complete tool calls, field types, duplicate keys and completion state.
  Bad submissions retain old memories, use existing bounded retries, and do not
  block other sources. No configuration or stored-data migration is needed.
• Add split-argument stream, strict wire-format, reasoning separation and
  frozen-package regressions across Chat, Responses and Anthropic.

1.0.3

• Keep SDK debug logging disabled inside the private native-request pipe. User
  OPENAI_LOG/ANTHROPIC_LOG settings must not contaminate replies or emit request
  bodies. Includes all session-isolation and native-requester changes in 1.0.2.

1.0.2

• Isolate missing, archived, malformed or concurrently changed sessions at every
  history-read boundary, including native HTTP-200 not-found envelopes. Keep
  useful work when one source, citation timestamp, extraction or note fails.
• Preserve the prior selected memories and defer expiration when citation
  coverage is incomplete; healthy sources and explicit notes can still merge.
  New activity no longer blocks non-evicting publication.
• Use validated snapshots during model work, acknowledge queue items per source,
  and make cleanup failures non-fatal after a successful publication.
• Reuse pinned native Kimi Chat/Responses/Anthropic streaming requesters, thinking
  configuration and message codecs instead of separate Python wire adapters.
  Final extraction accepts exact JSON or one complete JSON fence, never thoughts.
• New requester versions rearm failed extraction budgets once without regenerating
  successful memories. Existing configuration, database and published data remain
  compatible; failures never disable the offline reader.

1.0.1

• Before the first usable memory summary, inject only short explicit-note
  guidance at the normal initial input boundary. Existing summaries still use
  the unchanged full prompt; no duplicate static instructions or late injection.
• Verify the actual system/instructions and user-hook roles for Chat
  Completions, Responses and Anthropic using native Kimi and local test models.
• Skip queued events whose session has been deleted, instead of crashing the
  worker into a retrying pause that stalls the whole batch.

1.0.0

First public release of Kimi Codex Memory.

• Self-contained Kimi plugin for Windows, macOS and Linux, on x64 and ARM64.
• Uses Kimi's effective default model and credentials: subscription OAuth or
  third-party providers with Chat Completions, Responses or Anthropic Messages.
• Codex memory-v2 extraction, consolidation, citation accounting and retention,
  with pristine upstream prompts pinned and minimal Kimi-specific templates.
• Offline memory remains readable when generation, authentication or the host
  history API fails. Injection follows initial-context and compaction boundaries.
• One self-contained hook prompt, without duplicate plugin system instructions.
  Custom SYSTEM.md templates do not need to include plugin sections. Silent
  no-op hooks add no empty JSON messages to the model's conversation.
• Source summaries and indexes use session_id consistently; the citation prompt
  explicitly maps that header value to the source-ID field.
• Tries new Kimi releases against the actual API without a product-version
  whitelist, and never upgrades Kimi on the user's behalf.

Version 1.0.0 establishes the public configuration and data-compatibility
baseline. Development-only rename, configuration, database and publication
migrations have been removed. Future compatible releases preserve 1.0.0+ user
data; necessary schema changes will include tested migration and recovery.

This is an independent project, not an official Moonshot or OpenAI product.
Generation uses the selected provider's quota.

Kimi Codex Memory 1.1.0

1.1.0

• Publish memory artifacts without temporary diffs, Git objects or reflogs;
  clean old processing files from the current publication without model calls.
• Retry a prepared injection when another hook blocked its prompt. Correlate
  acceptance with the matching user turn after Kimi's gate; do not claim
  exactly-once delivery. Preserve ordinary continuation deduplication.
• Bind rendering and snapshot pins to one locked selection, refresh active pins,
  and rebuild context when a long-idle session's old snapshot has been retired.
• Defer external budget, network, authentication and provider failures without
  consuming permanent source attempts. Changed model configuration re-enables
  failed sources; add explicit retry/list commands without regenerating successes.
• Launch the offline reader directly from the bundled native executable, without
  invoking Kimi's internal Node command. Model bridges remain independently isolated.
• Use independent plugin versions with a Kimi 2.1.0 minimum and unified 2.1.1
  source/testing baseline. Add minimum-host release checks and a weekly read-only
  latest-host compatibility report for maintainers; never upgrade user Kimi.

Existing memory/configuration/database formats remain supported. Old releases
are not overwritten, and no migration or full-history regeneration is required.

1.0.5

• Accept the last valid submit_memory_extraction call instead of rejecting an
  otherwise usable response with multiple calls. Invalid or unrelated later
  calls cannot hide an earlier valid submission.
• When no valid submission exists, select the largest complete, schema-valid
  JSON object from final answer text. Measure the original object's UTF-8 bytes;
  prefer the later object on a size tie. Never use reasoning or repair JSON.
• Apply the same schema, Unicode, slug and empty-result checks before selection.
  Truncated responses and invalid results still preserve existing memories and
  use per-source retries. No schema, configuration or reader migration required.
• Add three-protocol streaming and frozen-package tests for corrected tool calls,
  final-output fallback, channel isolation and unchanged batch progress.

1.0.4

• Submit extraction results through one terminal submit_memory_extraction tool,
  using Codex v2's two required string fields. Never parse answer prose or
  reasoning as the extraction result; valid tool arguments finish the job without
  a follow-up model call.
• Keep native Kimi streaming/tool/thinking handling for all three protocols.
  Default to auto for gateway compatibility; direct official OpenAI endpoints
  additionally enforce strict arguments, required tool use and no parallel calls.
• Validate complete tool calls, field types, duplicate keys and completion state.
  Bad submissions retain old memories, use existing bounded retries, and do not
  block other sources. No configuration or stored-data migration is needed.
• Add split-argument stream, strict wire-format, reasoning separation and
  frozen-package regressions across Chat, Responses and Anthropic.

1.0.3

• Keep SDK debug logging disabled inside the private native-request pipe. User
  OPENAI_LOG/ANTHROPIC_LOG settings must not contaminate replies or emit request
  bodies. Includes all session-isolation and native-requester changes in 1.0.2.

1.0.2

• Isolate missing, archived, malformed or concurrently changed sessions at every
  history-read boundary, including native HTTP-200 not-found envelopes. Keep
  useful work when one source, citation timestamp, extraction or note fails.
• Preserve the prior selected memories and defer expiration when citation
  coverage is incomplete; healthy sources and explicit notes can still merge.
  New activity no longer blocks non-evicting publication.
• Use validated snapshots during model work, acknowledge queue items per source,
  and make cleanup failures non-fatal after a successful publication.
• Reuse pinned native Kimi Chat/Responses/Anthropic streaming requesters, thinking
  configuration and message codecs instead of separate Python wire adapters.
  Final extraction accepts exact JSON or one complete JSON fence, never thoughts.
• New requester versions rearm failed extraction budgets once without regenerating
  successful memories. Existing configuration, database and published data remain
  compatible; failures never disable the offline reader.

1.0.1

• Before the first usable memory summary, inject only short explicit-note
  guidance at the normal initial input boundary. Existing summaries still use
  the unchanged full prompt; no duplicate static instructions or late injection.
• Verify the actual system/instructions and user-hook roles for Chat
  Completions, Responses and Anthropic using native Kimi and local test models.
• Skip queued events whose session has been deleted, instead of crashing the
  worker into a retrying pause that stalls the whole batch.

1.0.0

First public release of Kimi Codex Memory.

• Self-contained Kimi plugin for Windows, macOS and Linux, on x64 and ARM64.
• Uses Kimi's effective default model and credentials: subscription OAuth or
  third-party providers with Chat Completions, Responses or Anthropic Messages.
• Codex memory-v2 extraction, consolidation, citation accounting and retention,
  with pristine upstream prompts pinned and minimal Kimi-specific templates.
• Offline memory remains readable when generation, authentication or the host
  history API fails. Injection follows initial-context and compaction boundaries.
• One self-contained hook prompt, without duplicate plugin system instructions.
  Custom SYSTEM.md templates do not need to include plugin sections. Silent
  no-op hooks add no empty JSON messages to the model's conversation.
• Source summaries and indexes use session_id consistently; the citation prompt
  explicitly maps that header value to the source-ID field.
• Tries new Kimi releases against the actual API without a product-version
  whitelist, and never upgrades Kimi on the user's behalf.

Version 1.0.0 establishes the public configuration and data-compatibility
baseline. Development-only rename, configuration, database and publication
migrations have been removed. Future compatible releases preserve 1.0.0+ user
data; necessary schema changes will include tested migration and recovery.

This is an independent project, not an official Moonshot or OpenAI product.
Generation uses the selected provider's quota.

Kimi Codex Memory 1.0.5

1.0.5

• Accept the last valid submit_memory_extraction call instead of rejecting an
  otherwise usable response with multiple calls. Invalid or unrelated later
  calls cannot hide an earlier valid submission.
• When no valid submission exists, select the largest complete, schema-valid
  JSON object from final answer text. Measure the original object's UTF-8 bytes;
  prefer the later object on a size tie. Never use reasoning or repair JSON.
• Apply the same schema, Unicode, slug and empty-result checks before selection.
  Truncated responses and invalid results still preserve existing memories and
  use per-source retries. No schema, configuration or reader migration required.
• Add three-protocol streaming and frozen-package tests for corrected tool calls,
  final-output fallback, channel isolation and unchanged batch progress.

1.0.4

• Submit extraction results through one terminal submit_memory_extraction tool,
  using Codex v2's two required string fields. Never parse answer prose or
  reasoning as the extraction result; valid tool arguments finish the job without
  a follow-up model call.
• Keep native Kimi streaming/tool/thinking handling for all three protocols.
  Default to auto for gateway compatibility; direct official OpenAI endpoints
  additionally enforce strict arguments, required tool use and no parallel calls.
• Validate complete tool calls, field types, duplicate keys and completion state.
  Bad submissions retain old memories, use existing bounded retries, and do not
  block other sources. No configuration or stored-data migration is needed.
• Add split-argument stream, strict wire-format, reasoning separation and
  frozen-package regressions across Chat, Responses and Anthropic.

1.0.3

• Keep SDK debug logging disabled inside the private native-request pipe. User
  OPENAI_LOG/ANTHROPIC_LOG settings must not contaminate replies or emit request
  bodies. Includes all session-isolation and native-requester changes in 1.0.2.

1.0.2

• Isolate missing, archived, malformed or concurrently changed sessions at every
  history-read boundary, including native HTTP-200 not-found envelopes. Keep
  useful work when one source, citation timestamp, extraction or note fails.
• Preserve the prior selected memories and defer expiration when citation
  coverage is incomplete; healthy sources and explicit notes can still merge.
  New activity no longer blocks non-evicting publication.
• Use validated snapshots during model work, acknowledge queue items per source,
  and make cleanup failures non-fatal after a successful publication.
• Reuse pinned native Kimi Chat/Responses/Anthropic streaming requesters, thinking
  configuration and message codecs instead of separate Python wire adapters.
  Final extraction accepts exact JSON or one complete JSON fence, never thoughts.
• New requester versions rearm failed extraction budgets once without regenerating
  successful memories. Existing configuration, database and published data remain
  compatible; failures never disable the offline reader.

1.0.1

• Before the first usable memory summary, inject only short explicit-note
  guidance at the normal initial input boundary. Existing summaries still use
  the unchanged full prompt; no duplicate static instructions or late injection.
• Verify the actual system/instructions and user-hook roles for Chat
  Completions, Responses and Anthropic using native Kimi and local test models.
• Skip queued events whose session has been deleted, instead of crashing the
  worker into a retrying pause that stalls the whole batch.

1.0.0

First public release of Kimi Codex Memory.

• Self-contained Kimi plugin for Windows, macOS and Linux, on x64 and ARM64.
• Uses Kimi's effective default model and credentials: subscription OAuth or
  third-party providers with Chat Completions, Responses or Anthropic Messages.
• Codex memory-v2 extraction, consolidation, citation accounting and retention,
  with pristine upstream prompts pinned and minimal Kimi-specific templates.
• Offline memory remains readable when generation, authentication or the host
  history API fails. Injection follows initial-context and compaction boundaries.
• One self-contained hook prompt, without duplicate plugin system instructions.
  Custom SYSTEM.md templates do not need to include plugin sections. Silent
  no-op hooks add no empty JSON messages to the model's conversation.
• Source summaries and indexes use session_id consistently; the citation prompt
  explicitly maps that header value to the source-ID field.
• Tries new Kimi releases against the actual API without a product-version
  whitelist, and never upgrades Kimi on the user's behalf.

Version 1.0.0 establishes the public configuration and data-compatibility
baseline. Development-only rename, configuration, database and publication
migrations have been removed. Future compatible releases preserve 1.0.0+ user
data; necessary schema changes will include tested migration and recovery.

This is an independent project, not an official Moonshot or OpenAI product.
Generation uses the selected provider's quota.

Kimi Codex Memory 1.0.4

1.0.4

• Submit extraction results through one terminal submit_memory_extraction tool,
  using Codex v2's two required string fields. Never parse answer prose or
  reasoning as the extraction result; valid tool arguments finish the job without
  a follow-up model call.
• Keep native Kimi streaming/tool/thinking handling for all three protocols.
  Default to auto for gateway compatibility; direct official OpenAI endpoints
  additionally enforce strict arguments, required tool use and no parallel calls.
• Validate complete tool calls, field types, duplicate keys and completion state.
  Bad submissions retain old memories, use existing bounded retries, and do not
  block other sources. No configuration or stored-data migration is needed.
• Add split-argument stream, strict wire-format, reasoning separation and
  frozen-package regressions across Chat, Responses and Anthropic.

1.0.3

• Keep SDK debug logging disabled inside the private native-request pipe. User
  OPENAI_LOG/ANTHROPIC_LOG settings must not contaminate replies or emit request
  bodies. Includes all session-isolation and native-requester changes in 1.0.2.

1.0.2

• Isolate missing, archived, malformed or concurrently changed sessions at every
  history-read boundary, including native HTTP-200 not-found envelopes. Keep
  useful work when one source, citation timestamp, extraction or note fails.
• Preserve the prior selected memories and defer expiration when citation
  coverage is incomplete; healthy sources and explicit notes can still merge.
  New activity no longer blocks non-evicting publication.
• Use validated snapshots during model work, acknowledge queue items per source,
  and make cleanup failures non-fatal after a successful publication.
• Reuse pinned native Kimi Chat/Responses/Anthropic streaming requesters, thinking
  configuration and message codecs instead of separate Python wire adapters.
  Final extraction accepts exact JSON or one complete JSON fence, never thoughts.
• New requester versions rearm failed extraction budgets once without regenerating
  successful memories. Existing configuration, database and published data remain
  compatible; failures never disable the offline reader.

1.0.1

• Before the first usable memory summary, inject only short explicit-note
  guidance at the normal initial input boundary. Existing summaries still use
  the unchanged full prompt; no duplicate static instructions or late injection.
• Verify the actual system/instructions and user-hook roles for Chat
  Completions, Responses and Anthropic using native Kimi and local test models.
• Skip queued events whose session has been deleted, instead of crashing the
  worker into a retrying pause that stalls the whole batch.

1.0.0

First public release of Kimi Codex Memory.

• Self-contained Kimi plugin for Windows, macOS and Linux, on x64 and ARM64.
• Uses Kimi's effective default model and credentials: subscription OAuth or
  third-party providers with Chat Completions, Responses or Anthropic Messages.
• Codex memory-v2 extraction, consolidation, citation accounting and retention,
  with pristine upstream prompts pinned and minimal Kimi-specific templates.
• Offline memory remains readable when generation, authentication or the host
  history API fails. Injection follows initial-context and compaction boundaries.
• One self-contained hook prompt, without duplicate plugin system instructions.
  Custom SYSTEM.md templates do not need to include plugin sections. Silent
  no-op hooks add no empty JSON messages to the model's conversation.
• Source summaries and indexes use session_id consistently; the citation prompt
  explicitly maps that header value to the source-ID field.
• Tries new Kimi releases against the actual API without a product-version
  whitelist, and never upgrades Kimi on the user's behalf.

Version 1.0.0 establishes the public configuration and data-compatibility
baseline. Development-only rename, configuration, database and publication
migrations have been removed. Future compatible releases preserve 1.0.0+ user
data; necessary schema changes will include tested migration and recovery.

This is an independent project, not an official Moonshot or OpenAI product.
Generation uses the selected provider's quota.

Kimi Codex Memory 1.0.3

1.0.3

• Keep SDK debug logging disabled inside the private native-request pipe. User
  OPENAI_LOG/ANTHROPIC_LOG settings must not contaminate replies or emit request
  bodies. Includes all session-isolation and native-requester changes in 1.0.2.

1.0.2

• Isolate missing, archived, malformed or concurrently changed sessions at every
  history-read boundary, including native HTTP-200 not-found envelopes. Keep
  useful work when one source, citation timestamp, extraction or note fails.
• Preserve the prior selected memories and defer expiration when citation
  coverage is incomplete; healthy sources and explicit notes can still merge.
  New activity no longer blocks non-evicting publication.
• Use validated snapshots during model work, acknowledge queue items per source,
  and make cleanup failures non-fatal after a successful publication.
• Reuse pinned native Kimi Chat/Responses/Anthropic streaming requesters, thinking
  configuration and message codecs instead of separate Python wire adapters.
  Final extraction accepts exact JSON or one complete JSON fence, never thoughts.
• New requester versions rearm failed extraction budgets once without regenerating
  successful memories. Existing configuration, database and published data remain
  compatible; failures never disable the offline reader.

1.0.1

• Before the first usable memory summary, inject only short explicit-note
  guidance at the normal initial input boundary. Existing summaries still use
  the unchanged full prompt; no duplicate static instructions or late injection.
• Verify the actual system/instructions and user-hook roles for Chat
  Completions, Responses and Anthropic using native Kimi and local test models.
• Skip queued events whose session has been deleted, instead of crashing the
  worker into a retrying pause that stalls the whole batch.

1.0.0

First public release of Kimi Codex Memory.

• Self-contained Kimi plugin for Windows, macOS and Linux, on x64 and ARM64.
• Uses Kimi's effective default model and credentials: subscription OAuth or
  third-party providers with Chat Completions, Responses or Anthropic Messages.
• Codex memory-v2 extraction, consolidation, citation accounting and retention,
  with pristine upstream prompts pinned and minimal Kimi-specific templates.
• Offline memory remains readable when generation, authentication or the host
  history API fails. Injection follows initial-context and compaction boundaries.
• One self-contained hook prompt, without duplicate plugin system instructions.
  Custom SYSTEM.md templates do not need to include plugin sections. Silent
  no-op hooks add no empty JSON messages to the model's conversation.
• Source summaries and indexes use session_id consistently; the citation prompt
  explicitly maps that header value to the source-ID field.
• Tries new Kimi releases against the actual API without a product-version
  whitelist, and never upgrades Kimi on the user's behalf.

Version 1.0.0 establishes the public configuration and data-compatibility
baseline. Development-only rename, configuration, database and publication
migrations have been removed. Future compatible releases preserve 1.0.0+ user
data; necessary schema changes will include tested migration and recovery.

This is an independent project, not an official Moonshot or OpenAI product.
Generation uses the selected provider's quota.

Kimi Codex Memory 1.0.2

1.0.2

• Isolate missing, archived, malformed or concurrently changed sessions at every
  history-read boundary, including native HTTP-200 not-found envelopes. Keep
  useful work when one source, citation timestamp, extraction or note fails.
• Preserve the prior selected memories and defer expiration when citation
  coverage is incomplete; healthy sources and explicit notes can still merge.
  New activity no longer blocks non-evicting publication.
• Use validated snapshots during model work, acknowledge queue items per source,
  and make cleanup failures non-fatal after a successful publication.
• Reuse pinned native Kimi Chat/Responses/Anthropic streaming requesters, thinking
  configuration and message codecs instead of separate Python wire adapters.
  Final extraction accepts exact JSON or one complete JSON fence, never thoughts.
• New requester versions rearm failed extraction budgets once without regenerating
  successful memories. Existing configuration, database and published data remain
  compatible; failures never disable the offline reader.

1.0.1

• Before the first usable memory summary, inject only short explicit-note
  guidance at the normal initial input boundary. Existing summaries still use
  the unchanged full prompt; no duplicate static instructions or late injection.
• Verify the actual system/instructions and user-hook roles for Chat
  Completions, Responses and Anthropic using native Kimi and local test models.
• Skip queued events whose session has been deleted, instead of crashing the
  worker into a retrying pause that stalls the whole batch.

1.0.0

First public release of Kimi Codex Memory.

• Self-contained Kimi plugin for Windows, macOS and Linux, on x64 and ARM64.
• Uses Kimi's effective default model and credentials: subscription OAuth or
  third-party providers with Chat Completions, Responses or Anthropic Messages.
• Codex memory-v2 extraction, consolidation, citation accounting and retention,
  with pristine upstream prompts pinned and minimal Kimi-specific templates.
• Offline memory remains readable when generation, authentication or the host
  history API fails. Injection follows initial-context and compaction boundaries.
• One self-contained hook prompt, without duplicate plugin system instructions.
  Custom SYSTEM.md templates do not need to include plugin sections. Silent
  no-op hooks add no empty JSON messages to the model's conversation.
• Source summaries and indexes use session_id consistently; the citation prompt
  explicitly maps that header value to the source-ID field.
• Tries new Kimi releases against the actual API without a product-version
  whitelist, and never upgrades Kimi on the user's behalf.

Version 1.0.0 establishes the public configuration and data-compatibility
baseline. Development-only rename, configuration, database and publication
migrations have been removed. Future compatible releases preserve 1.0.0+ user
data; necessary schema changes will include tested migration and recovery.

This is an independent project, not an official Moonshot or OpenAI product.
Generation uses the selected provider's quota.

Kimi Codex Memory 1.0.1

1.0.1

• Before the first usable memory summary, inject only short explicit-note
  guidance at the normal initial input boundary. Existing summaries still use
  the unchanged full prompt; no duplicate static instructions or late injection.
• Verify the actual system/instructions and user-hook roles for Chat
  Completions, Responses and Anthropic using native Kimi and local test models.
• Skip queued events whose session has been deleted, instead of crashing the
  worker into a retrying pause that stalls the whole batch.

1.0.0

First public release of Kimi Codex Memory.

• Self-contained Kimi plugin for Windows, macOS and Linux, on x64 and ARM64.
• Uses Kimi's effective default model and credentials: subscription OAuth or
  third-party providers with Chat Completions, Responses or Anthropic Messages.
• Codex memory-v2 extraction, consolidation, citation accounting and retention,
  with pristine upstream prompts pinned and minimal Kimi-specific templates.
• Offline memory remains readable when generation, authentication or the host
  history API fails. Injection follows initial-context and compaction boundaries.
• One self-contained hook prompt, without duplicate plugin system instructions.
  Custom SYSTEM.md templates do not need to include plugin sections. Silent
  no-op hooks add no empty JSON messages to the model's conversation.
• Source summaries and indexes use session_id consistently; the citation prompt
  explicitly maps that header value to the source-ID field.
• Tries new Kimi releases against the actual API without a product-version
  whitelist, and never upgrades Kimi on the user's behalf.

Version 1.0.0 establishes the public configuration and data-compatibility
baseline. Development-only rename, configuration, database and publication
migrations have been removed. Future compatible releases preserve 1.0.0+ user
data; necessary schema changes will include tested migration and recovery.

This is an independent project, not an official Moonshot or OpenAI product.
Generation uses the selected provider's quota.

Kimi Codex Memory 1.0.0

1.0.0

First public release of Kimi Codex Memory.

• Self-contained Kimi plugin for Windows, macOS and Linux, on x64 and ARM64.
• Uses Kimi's effective default model and credentials: subscription OAuth or
  third-party providers with Chat Completions, Responses or Anthropic Messages.
• Codex memory-v2 extraction, consolidation, citation accounting and retention,
  with pristine upstream prompts pinned and minimal Kimi-specific templates.
• Offline memory remains readable when generation, authentication or the host
  history API fails. Injection follows initial-context and compaction boundaries.
• One self-contained hook prompt, without duplicate plugin system instructions.
  Custom SYSTEM.md templates do not need to include plugin sections. Silent
  no-op hooks add no empty JSON messages to the model's conversation.
• Source summaries and indexes use session_id consistently; the citation prompt
  explicitly maps that header value to the source-ID field.
• Tries new Kimi releases against the actual API without a product-version
  whitelist, and never upgrades Kimi on the user's behalf.

Version 1.0.0 establishes the public configuration and data-compatibility
baseline. Development-only rename, configuration, database and publication
migrations have been removed. Future compatible releases preserve 1.0.0+ user
data; necessary schema changes will include tested migration and recovery.

This is an independent project, not an official Moonshot or OpenAI product.
Generation uses the selected provider's quota.