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tmcra-plugin-deepseek-harness

TMCRA lifecycle project memory integration for DeepSeek Harness across sessions and apps.

UI & ProductivityDeveloper ToolsBrowser & WebSecurity & PolicySkills & WorkflowsRemote Execution
1GitHub Stars0ForksUpdated2026-09-05

Install

$ dsh plugin --profile web add https://github.com/reshuibuduo/tmcra-plugin-deepseek-harness/releases/download/v1.0.0-rc.1/dsh-tmcra-memory-1.0.0-rc.1.tgz

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
tmcra-plugin-deepseek-harness (dsh-tmcra-memory) connects DeepSeek Harness lifecycle events to the TMCRA Memory API. It automatically retrieves account-global and project-scoped evidence before each model turn, injects recalled context into the session transcript, and writes completed user prompts and assistant outputs back to shared memory with role separation and credential redaction.

Key Capabilities

  • Recalls user-global and project-specific memory context before model turn execution
  • Performs role-separated writeback of user prompts and assistant completions
  • Shares project memory across distinct Harness sessions and external TMCRA-connected tools like Codex
  • Derives deterministic project scopes from Git origin, Git directory, or workspace path
  • Redacts common API keys, secrets, tokens, and sensitive URLs before transmission
  • Provides a crash-safe local outbox and fail-open recall handling on network issues
  • Supports local embedding/reranker model profiles and separate OpenAI-compatible background providers

Useful For

  • Maintaining ongoing project state, decisions, and debugging history across multiple DeepSeek Harness conversations
  • Sharing contextual memory and progress between DeepSeek Harness and Codex sessions
  • Preserving context across primary agents and subagents during long multi-step workflows

Who It Fits

  • Developers working on long-running multi-session coding projects with DeepSeek Harness
  • Users collaborating across multiple AI coding tools using TMCRA shared memory

Documented Limitations

  • Requires a TMCRA account or local model deployment setup
  • Does not automatically backfill historical Harness conversations prior to plugin activation
  • Account connection and provider setup rely on external browser and CLI workflows rather than native Harness UI settings
  • Pinned to and tested with DeepSeek Harness 0.1.1-rc.2

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

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Dependency Counts

package.json declares 3 runtime, 26 development, 5 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as Apache-2.0.

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Package Manifest Available

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

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Source repository
reshuibuduo/tmcra-plugin-deepseek-harness
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
9f77e6f · 2026-09-05

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
1GitHub stars
Forks
0
Open issues
0
Last commit
2026-09-05
Last release
2026-09-03
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