0xwilliamortiz
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openclaude-improved
OpenClaude is an open-source CLI coding agent that runs on any platform and supports a wide range of LLM providers, offering the same tools and workflows as Claude Code.
ucp
Universal Context Package (UCP) is an open JSON format that condenses sprawling issue threads into small, verifiable, and structured context packages for LLM agents, with mandatory provenance, time-awareness, and deterministic token-budget rendering.
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License
Apache-2.0
Last updated
2026-07-11
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It directly addresses the problem of feeding massive unstructured context into LLMs by providing a standardized, auditable, and token-efficient artifact that preserves decisions, conflicts, and source hashes, with a working CLI, server, and MCP integration.
Who it is for
- Developers integrating LLM agents into workflows
- AI engineers needing structured context for prompts
- Project managers or maintainers handling large issue threads
- Teams using MCP-compatible tools like Cursor or Claude Code
Use cases
- Summarize a 596-comment GitHub issue into ~1,200 tokens for an agent
- Provide a verifiable context package for a Jira ticket before acting on it
- Serve structured context to MCP agents via a self-hosted REST/MCP server
- Collect usage receipts to rank frequently cited claims for team packages
Strengths
- Token reduction of up to 15× on large threads while preserving decisions and conflicts
- Mandatory provenance every claim cites a hashed source, making summaries auditable
- Deterministic rendering under any token budget using salience scores
- Industry-neutral design with open vocabularies and extensible schema
Considerations
- Draft status (v0.1.1) with expected breaking changes before 1.0.0
- Initial generation support limited to GitHub and Jira sources
- Requires Docker or Python tooling and API tokens for full functionality
README quick start
Usage Receipts — packages that learn
Description
Universal Context Package - an open specification for packaging work context for LLMs
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