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MCP servers and skills: search, filter by where they run, and compare.
sembleMinishLab
LocalFast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read
PythonMIT★ 6.2kNo key
code-review-graphtirth8205
Local
MCP servers and skills: search, filter by where they run, and compare.
Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read
PythonMIT★ 6.2kNo key
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo w
PythonMIT★ 32kNo key
A cyber brain for your AI. It never forgets a detail, remembers exactly what you said, and learns how you work over time. Free, local, works with Cursor, Claude Code, Codex, OpenClaw, Hermes and more.
PythonMIT★ 911No key
A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
PythonMIT★ 1.2kNo key
Graph memory for AI agents — decisions, context, and session history that survive across every conversation. Works with any LLM.
PythonMIT★ 33No key
Lightweight and portable LLM sandbox runtime (code interpreter) Python library.
PythonMIT★ 1.1kNo key
Persistent local memory for AI coding agents — Claude Code, Codex CLI, Cursor, any MCP client. Temporal knowledge graph, procedural memory, AST codebase ingest, cross-project analogy. LongMemEval R@5
PythonMIT★ 73No key
Forecast what will happen, including outcomes of your decisions.
PythonMIT★ 57Needs a key
MCP server for Windows desktop automation. Incremental perception instead of a screenshot per step: measured 16.9x fewer tokens per action than the alternatives, with the benchmarks to check it.
PythonMIT★ 4Few starsNo key
A full-featured MCP server for the Kaggle API — competitions, datasets, kernels, models, benchmarks, and discussions.
PythonMIT★ 4Few starsNo key
Local-first, eval-first memory for long-horizon AI agents — no LLM at ingest. Python SDK + MCP server with source-traceable recall, belief revision, selective forgetting, and reproducible benchmarks.
PythonMIT★ 15No key
Token-efficient facade and Codex skill for MCP for Unity: 96% smaller measured tool-schema surface, compact results, batching, and recovery.
PythonMIT★ 14No key
Dimensionally validated laser-fabrication skills and safe LightBurn handoff tooling
SkillMITFew starsNo key
Reliability gateway for AI tool output: schema-stable, secret-safe, pagination-complete JSON for MCP and CLI agents.
PythonMIT★ 32No key
CLI for benchmarks & evals of AI coding agents — on tasks you already understand, using your Claude / Codex / Gemini individual subscriptions or API keys.
PythonMIT★ 14No key
Python SDK for WaveGuard physics-based anomaly detection API. One call. Any data.
PythonMIT★ 4Few starsNo key
Open framework for empirical AI visibility benchmarks, multi-model provider observation, and reproducible GEO research.
PythonMIT★ 4Few starsNo key
Recordings in. Agent-ready evidence out. Local-first MCP for transcripts, keyframes, OCR, speakers, and wall-clock evidence.
PythonMIT★ 31No key
Smart JSON-to-TOON conversion with pragmatic auto-gating for LLM prompts
PythonMIT★ 2Few starsNo key
Handle-ifying MCP proxy: slash token bills on chatty MCP servers via content-aware backends and local munch verbs
PythonMIT★ 33No key
Graph-based tool retrieval for LLM agents — 248 tools → 82% accuracy, 79% fewer tokens. Zero dependencies. OpenAPI / MCP / LangChain.
PythonMIT★ 17No key
Read-only MCP for provenance-first research memory, evidence re-verification, and governed Codex workflows.
PythonMITFew starsNo key
The context layer for production AI agents: local-first context planning, compression and runtime for LLM apps.
PythonMIT★ 16No key
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