#context

Biologically-inspired memory for AI agents. Decay, retrieval strengthening, consolidation. Zero dependencies.

Опис репозиторію не опубліковано.

Production plumbing for LLM apps in TypeScript: context, cost, testing & governance primitives. Python-interoperable.

Extension for python-capellambse that adds automatically generated context diagrams for arbitrary model elements.

Local context engine for AI coding agents. Routes tasks to relevant files, tests, rules, and skills, supports prompt caching, and builds compact context packs for Claude Code, Codex, Cursor, MCP, and more.

detects nested contexts in loops or function literals

Practical productivity tools for Claude Code, Codex-CLI, and similar CLI coding agents.

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

The repo map your coding agent is forced to use — ~98% fewer tokens (up to 99.9% per task) to understand a TS/JS codebase. PageRank hubs, Aider-style symbol ranking, token-budgeted digest, --any router, wired into the agent loop.

Sharper context. Fewer tokens. Open-source middleware for Claude Code.

Agent coordination MCP server — shared blackboard, decision tracking, and context assembly