Le catalogue réel des outils pour IA

Shared, git-tracked working memory for AI agents on the same codebase.

Stale-proof repository memory with citations + just-in-time verification + TTL (repo-scoped).

Persistent local memory for MCP-compatible AI coding agents, stored per repository in SQLite.

Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.

Give your AI agent an identity: its own email, webhook, repo, secrets vault, memory and skills.

Persistent agent memory as plain Markdown in your repo - readable, diffable, with provenance.

Local multi-repo code graph over MCP. Blast radius, call graphs, and memory anchored to code.

Project memory across sessions for AI agents. A queryable decision log in the repo.

Persistent project memory for AI coding agents: one compact digest instead of re-reading the repo.

Local repo memory for coding agents: ranked files, context packs and a code graph for any task.

Parse owner and repo from a GitHub URL. Path discarded.

GitHub repository vectorizer and context synthesizer for RAG pipelines.

Audit GitHub repos for malicious and supply-chain code before you depend on them.

Dive into the world of open-source with the GitHub Repo Explorer! Utilize the powerful GitHub

Trending GitHub repos: new & rising daily. $0.01/query. Register in-session — free testnet funds.

Finds real, maintained open-source repos that fit your project. MCP grounding for coding agents.

Track public GitHub repos: free snapshot, paid release, star & issue intel via x402 USDC.

Deterministic repository structure mapping for onboarding agents.

GitHub repo maintainability verdicts—maintained, slowing, at-risk, abandoned—via MCP.

Audit-first test strategy MCP server for repository-native test planning.