Repository profile
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
Repository updates
Get generated headroomlabs-ai/headroom development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-03 03:04
1 capture since 2026-07-03
Stars from baseline 0
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-03 03:04
Cargo.toml
rust ecosystem,
18 dependencies
pyproject.toml
python ecosystem,
64 dependencies
Cargo.lock
rust ecosystem,
484 dependencies
uv.lock
python ecosystem,
0 dependencies
agent-evals/pyproject.toml
python ecosystem,
23 dependencies
docs/package.json
javascript ecosystem,
28 dependencies
docs/bun.lock
javascript ecosystem,
0 dependencies
docs/package-lock.json
javascript ecosystem,
450 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
AI agent config detected
Key config paths
Nearest indexed repositories by embedding similarity.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.
#1 Persistent memory for AI coding agents based on real-world benchmarks
Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens as the receipt. 76 MCP tools, 30+ agents, local-first.
Collaborative multi-agent AI coding workspace: aggregate sessions from Claude Code, Codex, OpenCode, etc. Desktop app, self-hosted server, or Docker.
Local-first AI daemon for Logseq OG: background semantic indexing, link hygiene, and agent-ready CLI/MCP — edits Markdown on disk (no cloud, no Logseq API). Karpathy LLM-Wiki inspired.
