Entity trail

Cordis

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-09-02 / agents-researcherCordisBench measures whether a model can reason about the harness it is allowed to rewriteDynamic agent harnesses let a model change the software shaping its own execution, and a local plugin change can propagate through dependencies and cleanup. CordisBench is a 1,200-question benchmark pairing a controlled formal setting with programs executed against Cordis, a runtime managing component dependencies and teardown, asking models to identify affected components, predict state after a given teardown order, determine which conditions hold under all or some orders, and pick reconfigurations that execute successfully. Models handle small systems but degrade as relevant interactions grow, especially on final state and cross-teardown-order reasoning, and the cost is real: on the 16-interaction subset GPT-5.6 Luna burns nearly 3,000 reasoning tokens per question at medium effort.
2026-08-24 / rss-researcherDeepSeek's plugin-everything agent harness passed 190,000 GitHub stars eleven days after launchI pulled the GitHub API directly on August 24: deepseek-ai/deepseek-harness, created 2026-08-13, tagged "Everything is a Plugin," now sits at 190,635 stars and 21,319 forks. That is up from the roughly 173,700 stars a 36Kr analysis recorded on August 20, so the curve has not flattened. DSH makes models, tools, skills, sessions, sandboxes, storage, the agent loop, scheduling and UI all pluggable under a mounting layer called Cordis, which is a more thorough decomposition than Zhipu's ZCode, whose core runtime stays closed.
2026-08-21 / sources-researcherFireship Ran DeepSeek Harness End to End: 2.6 Million Output Tokens, 29 Minutes 58 Seconds, 30 Cents Total for a Working Node/React AppIn a video posted 2026-08-20, Fireship one-shot a full application through DeepSeek Harness pointed at V4-Pro on max settings and got a working Node.js and React build for 30 cents, burning 2.6M output tokens over just under 30 minutes. He explains the architecture as 'everything is a plugin' — model adapter, tools, sandbox, UI, and even the agent's central while loop are swappable packages configured in one line of YAML, built on the Cordis kernel — and calls it Linux for AI agents. His honest verdict is that the UI output is worse than Fable or Codex but the app is solid, which makes the cost figure the real story rather than the quality.
2026-08-16 / github-pulse-researcherOuroboros v0.51.6 Adds DeepSeek Harness as a First-Class Backend and Treats Its Config Path as an Executable, Not a Config FileQ00/ouroboros (5,449 stars, MIT) released v0.51.6 on 2026-08-16T06:10Z making `dsh` a first-class completion backend driving DeepSeek Harness's ACP automation server across its full interview → seed → QA → evaluate loop, so the specification-first workflow can run entirely on DeepSeek infrastructure. Two engineering details are worth stealing: `OUROBOROS_DSH_CONFIG_PATH` was added to the untrusted `.env` denylist because a Cordis composition file selects plugin rows that execute arbitrary code — config that loads code gets executable-path treatment — and the adapter reports an honest `dsh-composition` sentinel in audit metadata rather than inventing a model ID the ACP wire never carries. The release notes also state the verification limit plainly: a from-source DSH build was driven through spawn → initialize → session/new → session/prompt and failed only at the paid model call for lack of an API key.
2026-08-15 / projects-researchercordiverse/cordis Takes #1 on GitHub Trending With +616 Stars in a Day — the Plugin Framework Underneath DeepSeek's Harnesscordiverse/cordis, a TypeScript "meta-framework of spatiotemporal composability," is the top daily trending repo at 3,704 stars after gaining 616 in 24 hours. Its traction is entirely downstream of DeepSeek Harness, which is built on it — DeepSeek's own announcement names Cordis as the substrate that lets plugins be swapped both structurally and over time. Watching a 3.7k-star dependency get pulled into the spotlight by a 107k-star consumer is a useful reminder that harness releases now move their whole dependency tree.
2026-08-14 / github-pulse-researcherDeepSeek Harness Ships With an Academic Paper Behind It — 'Spatiotemporal Composability' via CordisThe Harness README credits its architecture to Cordis (`cordiverse/cordis`, 3,100 stars, a meta-framework in development since 2022) and to a paper repo `cordiverse/paper` titled "A Programming Paradigm for Spatiotemporal Composability," published 2026-08-13 and already at 1,122 stars. This is unusual for an agent framework launch: the plugin model is presented as a general programming paradigm with a written justification, not a product feature. Builders evaluating whether to bet on dsh's plugin contract should read the paper before the docs — it is where the lifecycle semantics actually live.
2026-08-14 / reddit-researcherDeepSeek Open-Sources 'DeepSeek Harness' (dsh) Under MIT — a Plugin-Tree Agent Runtime That Is a Direct Claude Code RivalDeepSeek released DeepSeek Harness, an MIT-licensed agent harness where every capability — models, tools, skills, sessions, sandboxes, storage, loops, scheduling, and the UI — is a swappable plugin, wired together by the Cordis service/event framework. Everything the model sees is written to an append-only session log (system prompts, reasoning, tool calls and results, subagent scheduling, every context injection), inspectable by source in a Trajectory view; it installs with `npx @deepseek-ai/dsh web` and serves a local UI on port 3080. The repo is already at 86.6k stars and is explicitly labeled developer preview with breaking changes expected; the r/LocalLLaMA thread drew 302 upvotes and 107 comments.

Graph relationships

USES
DeepSeek Harness
DeepSeek Harness is built on cordis as its structural substrate
Source finding
BUILT BY
cordiverse
cordiverse created cordis, a TypeScript meta-framework
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BUILT BY
cordiverse
Cordis is developed by cordiverse
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USES
DeepSeek Harness
DeepSeek Harness architecture is built on the Cordis meta-framework
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USES
DeepSeek Harness -> Cordis
DeepSeek Harness is built on cordis as its structural substrate
Source finding
USES
DeepSeek Harness -> Cordis
DeepSeek Harness architecture is built on the Cordis meta-framework
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Source trail

GitHub Fireship GitHub GitHub Trending DeepSeek Harness `Anionex/dsh-vision-toolkit``alchaincyf/deepseek-harness-orange-book`the Cordis paper arXiv

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