Search code, repositories, users, issues, pull requests…

Clear

Search syntax tips

Provide feedback

We read every piece of feedback, and take your input very seriously.

Include my email address so I can be contacted

Saved searches

Use saved searches to filter your results more quickly

Name

Query

To see all available qualifiers, see our documentation.

Appearance settings

You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert

andrewyng / context-hub Public

Notifications You must be signed in to change notification settings
Fork 1k
Star 11.8k
Code
Issues 17
Pull requests 92
Actions
Projects
Security 0
Insights

Additional navigation options

andrewyng/context-hub

Branches TagsOpen more actions menu

Folders and files

Name		Name	Last commit message	Last commit date
Latest commit History 247 Commits 247 Commits
.github		.github
cli		cli
content		content
docs		docs
.gitignore		.gitignore
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
README.md		README.md
SECURITY.md		SECURITY.md
llms.txt		llms.txt
package-lock.json		package-lock.json
package.json		package.json

Context HubCoding agents hallucinate APIs and forget what they learn in a session. Context Hub gives them curated, versioned docs, plus the ability to get smarter with every task. All content is open and maintained as markdown in this repo — you can inspect exactly what your agent reads, and contribute back.

Quick Startnpm install -g @aisuite/chub

chub search openai # find what’s available chub get openai/chat —lang py # fetch current docs (Python version)

How It WorksChub is designed for your coding agent to use (not for you to use!). You can prompt your agent to use it (e.g., “Use the CLI command chub to get the latest API documentation for calling OpenAI. Run ‘chub help’ to understand how it works.”) Or by creating an agent skill to use Chub using SKILL.md, and ideally prompting your agent to remember to use this skill. (If you are using Claude Code, create the directory ~/.claude/skills/get-api-docs and put SKILL.md there.)

Most of the time, it’s simple — search, fetch, use:

chub search “stripe payments” # find relevant docs chub get stripe/api —lang js # fetch the doc

Agent reads the doc, writes correct code. Done.

When the agent discovers a gap, it can annotate locally for next time:

chub annotate stripe/api “Needs raw body for webhook verification”

Next session, the annotation appears automatically on chub get.

Feedback flows back to authors — chub feedback stripe/api up or down — vote the docs up or down so they can get better for everyone over time.

Content TypesVersioned, language-specific. “What to know.”

chub get openai/chat —lang py # Python variant chub get openai/chat —lang js # JavaScript variant

More content types than API documentation (such as agent skills) are on the roadmap.

Commands| Command | Purpose |

| --- | --- | | chub search [query] | Search docs and skills (no query = list all) | | chub get <id> [--lang py\|js] | Fetch docs or skills by ID | | chub annotate <id> <note> | Attach a note to a doc or skill | | chub annotate <id> --clear | Remove annotations | | chub annotate --list | List all annotations | | chub feedback <id> <up\|down> | Upvote or downvote a doc (sent to maintainers) |

For the full list of commands, flags, and piping patterns, see the CLI Reference.

Self-Improving AgentsContext Hub is designed for a loop where agents get better over time.

Annotations are local notes that agents attach to docs. They persist across sessions and appear automatically on future fetches — so agents learn from past experience. See Feedback and Annotations.

Feedback (up/down ratings with optional labels) goes to doc authors, who update the content based on what’s working and what isn’t. The docs get better for everyone — not just your local annotations.

Without Context Hub                          With Context Hub
  ───────────────────                          ─────────────────
  Search the web                               Fetch curated docs
  Noisy results                                Higher chance of code working
  Code breaks                                  Agent notes any gaps/workarounds
  Effort in fixing                             ↗ Even smarter next session
  Knowledge forgotten
  ↻ Repeat next session