Agent-facing Bicameral MCP tools for ingest, preflight, binding, and review commands
#context-engineering
55 posts
Opencode-Raven keeps noisy tool work behind a focused Raven agent, so your main model gets compact answers instead of raw search results, do...
Episodic memory for AI agents. Records your screen locally, compiles it into structured activity frames, serves them over MCP. No cloud, no...
Persistent, encrypted memory for AI agents: one Rust binary, one file, no cloud. 57 MCP tools, hybrid recall (BM25 + dense + RRF), bi-tempor...
Hybrid RAG (DuckDB vector + BM25 + RRF + recency/keyword priors + optional cross-encoder rerank) as an installable library + CLI.
Git-native context for AI coding agents — CLI and local MCP server
Context Runtime — a database query planner for LLM context. Decides what a model sees before it answers; plans it, runs it through reused su...
Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration....
Community edition of RepoPrompt: a native macOS context engineering app for AI coding agents, with an MCP CLI.
Context Engineering: Build Consistent, Accurate, Predictable AI Systems
Tiger CLI is the command-line interface for Tiger Cloud. It includes an MCP server for helping coding agents write production-level Postgres...
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment