neuron-explorer
Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results
CogniRepo gives AI agents persistent semantic memory, a knowledge graph, AST indexing, BM25 retrieval, and 34 MCP tools — so they stop forgetting everything between sessions. 50-80% token reduction. O
Developer toolsPython · ShellGitHub @ashlesh-tOnlineOwner unconfirmed
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Local cognitive infrastructure for AI coding agents — semantic memory, repository intelligence, and MCP tools to reduce token usage.
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mcp-name: io.github.ashlesh-t/cognirepo
Persistent memory and context for any AI tool. Not a chatbot — infrastructure.
lookup_symbol returns file:line very quickly — grep takes 2–8 seconds. On Python repos ≥ 15K LOC, CogniRepo cuts AI coding agent token usage by ~30–78% vs. a targeted grep+read baseline (up to 96–99% vs. reading every matching file naively) — benchmarked on Flask, FastAPI, Celery, and Ansible (5,900+ files). Works with Claude Code, Cursor, and Gemini CLI. Fully offline. No API keys required for indexing or any of the 35 MCP tools.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
mcp-name: io.github.ashlesh-t/cognirepo
Persistent memory and context for any AI tool. Not a chatbot — infrastructure.
lookup_symbol returns file:line very quickly — grep takes 2–8 seconds. On Python repos ≥ 15K LOC, CogniRepo cuts AI coding agent token usage by ~30–78% vs. a targeted grep+read baseline (up to 96–99% vs. reading every matching file naively) — benchmarked on Flask, FastAPI, Celery, and Ansible (5,900+ files). Works with Claude Code, Cursor, and Gemini CLI. Fully offline. No API keys required for indexing or any of the 35 MCP tools.Read the full README ↗