16 packages found
o9k — token-efficiency meta-framework for AI coding agents (Claude Code, Cursor, Codex, OpenCode, Hermes): seven pillars
clarifyprompt-mcp
Local, evidence-linked project memory and cited context compiler for coding agents - 98.71% less estimated repeated cont
Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust bi
Local MCP daemon that compresses your codebase before sending it to Claude 41-89% token reduction
Shared memory across your team and your AI agents — with judgment about what's worth keeping.
stdio MCP server to read or index markdown with images
grep that returns ranked, token-budgeted code slices — built for LLMs and coding agents. CLI + Python library + MCP serv
Context optimization for AI agents — 97 domain knowledge graphs, MCP-native traversal. 4× F1 of RAG, 11× fewer tokens pe
ContextLattice is the local-first control plane for long-horizon agent memory and coordination.
Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions, patterns
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
Verified knowledge for AI agents. Compress context, extract and store facts, define rules, and ask questions — get dete
Persistent memory for AI coding agents
iOS development ClaudeCode plugin for mindful token and context usage. Contains modular MCPs that group various Xcode/ID
Self-improving context & memory for Claude Code and OpenAI Codex. One canonical knowledge store injected only when relev