coding-agents
71 servers · 3,971★ total
Community edition of RepoPrompt: a native macOS context engineering app for AI coding agents, with an MCP CLI.
Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Copilot, Kiro, OpenCode, and Trae.
🏆 Curated, ranked list of AI agent harnesses (100+) — plus an MCP server, llms.txt & JSON so agents can recommend them too. Rescored weekly.
Reverse engineer anything with agents, from app behavior down to native binaries.
Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.
Repo memory for coding agents. Local-first MCP for Claude Code, Cursor, Windsurf, and Codex CLI: symbol graph, blast radius, diff-aware review, and git-pinned decisions. MIT; no API keys or code upload.
Git-native context engineering CLI and MCP server for AI coding agents. Keep specs, ADRs, rules, plans, and project knowledge in Git.
Huly MCP and CLI: Feature-complete MCP server and CLI for Huly platform
Make AI coding agents safe to scale autonomously: assign work, cap spend, enforce policy, verify output, roll back failures, learn from loops, and prove ROI across every repo.
Local-first static analysis that turns source code into deterministic, source-grounded workflow maps for coding agents via MCP.
Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary queryable via MCP.
Multi-session IDALib MCP router for coding agents. Analyze multiple binaries in parallel with IDA-compatible reverse engineering tools.
Framework-aware Starwind UI v3 tools for Astro and React setup, components, docs, and migration.
Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.
Curion is a project-local memory layer for AI coding agents, published as an MCP server for Claude Code, Codex, OpenCode, and other MCP clients.
MCP server with 23 tools for structured code understanding via tree-sitter. 10 languages. 999 tests. One-command install.
Cognitive memory for LLM agents — local-first, and shareable across a team through the cloud.
Local-first persistent memory for Claude Code & Codex CLI - Rust CLI, hooks, MCP server, SQLite/SQLCipher, auditable recall for long-running coding work.
Local pre-flight linter and architecture gate for AI agents. Uses tree-sitter, Stack Graphs, and Datalog to mechanically block structural drift, layering bypasses, and scope creep on virtual ASTs before code changes land.
Code intelligence for agents: find the code that matters and keep your context window and tokens lean.
Local code search for AI coding agents: a CLI and MCP server with hybrid keyword + semantic search and SQL relevance-ranked aggregation over an index in plain files. No accounts, no keys, no server.
The live network for high-quality Agent Skills — discover the latest verified versions, publish your own, and communicate agent-to-agent via MCP.
Local task-state ledger for AI coding agents. Preserve decisions, source conclusions, evidence, and checkpoints across Codex, Claude Code, Cursor, and other MCP clients.
Structural memory for coding agents — index your repo once, query symbols, callers, and call-edges over MCP.
Optimized, auditable execution for Codex and Claude Code: bounded repository context, verified patches, and reproducible paired benchmarks.
Watercooler: your team's shared reasoning layer for agentic coding. Preserve the "why" around your code.
A focused desktop provider manager and router for AI coding tools.
AgentWorks: the open-source control plane for running, measuring, and improving AI agent workflows across your company.
Local Rust codegraph and verifiable workflow for AI coding agents — project maps, change and test impact, MCP queries, and diff-backed implementation audits.
Workflow guardrails for coding agents and LLM-assisted development: AGENTS.md, native hooks, MCP, SaneMaster, circuit breakers, and shared process checks.
Event-driven MCP bridge for orchestrating ZCode, OpenCode, and Pi through a unified agent-* toolset, with concurrent runs, resource leases, session recovery, and backend-aware permissions.
Local CLI that audits coding-agent configuration for security, instructions, context, and MCP — no API key or code upload by default.
Local hardware intelligence for AI coding agents. Zero cloud. Zero telemetry.
Open-source team memory layer for AI coding agents — markdown files in git, user→team→org hierarchy, cross-vendor MCP server. Apache-2.0.
Multi-repo code intelligence for coding agents, indexed spaces served over read-only MCP
Turn code tasks, diffs, and stack traces into local, relationship-aware context packs for coding agents.
Reliable memory and context infrastructure for AI coding agents: source-backed facts, review-gated learning, MCP/SDK/UI, and replaceable Qdrant/Graphiti retrieval.
the CLI coding agent that slides: Zig-powered multi-agent harness for extreme coding workflows. named after the Rae Sremmurd track & its namesake Lamborghini transmission. built for Barvis 🦀⚡
Confidential local RAG for your coding agents.
Superpowers your agent's debugging: what introduced this bug, and is my fix actually complete? Deterministic, offline, read-only, MCP-native.
File-first memory runtime for AI agents — versioned, portable, and always there when the next session starts.
Local code intelligence graph for AI coding agents: Tree-sitter static analysis, structural code search, dependency impact, blast-radius analysis, CLI and MCP server.
The knowledge base AI coding agents share. Submit, search, and reuse battle-tested solutions across teams. Self-hosted, MCP-native, AGPL-3.0.
Autonomous coding agent orchestration. Give it a goal, walk away, come back to finished work. Eval loops, multi-agent pipelines, DAG dependencies, crash-proof persistence.
Offline MCP server for AI coding agents with semantic code search, symbol intelligence, dependency graphs, and safe file operations.
Your coding agent has amnesia and tunnel vision. kyma is the context engine that fixes both — long-term memory plus a live, queryable view of your running system (code, logs, traces), linked by a graph.
Cut the tokens your IDE-to-LLM coding session is billed for. Stops re-sending files the model already has, places provider cache breakpoints where they cover the request, and compresses what needs sending — measured against real tokenizers, not character counts. CLI, VS Code, MCP server, proxy.
Contract-first orchestration for long-running coding agents: scoped work records, local dispatch, review evidence, and enforcement provenance.
MCP server to empower your agent with enterprise-grade Gemini integration for codebase analysis, live search, text/PDF/image processing, and more on your favorite MCP clients.
Turn any repo into a Code Knowledge Graph your coding agent can reason over — symbols, API routes, ORM models, architecture decisions & git history as a typed, provenance-tracked graph, served over MCP. Built on AgentForge.
Render agent-written Markdown as a live local page, and send the human's click back to the agent as typed data. Human-in-the-loop approval gates for coding agents.
Local graph memory for AI coding agents, giving MCP-compatible tools precise codebase context before they edit.
Git-style time travel for AI agents — automatically snapshot, rewind, and fork an entire Linux environment. Rootless, self-hosted, MCP-ready.
Community gallery, CLI, and MCP service for Codex-compatible animated pets, backed by YDB.
Host-aware model routing for coding agents. Python library + MCP server for Claude Code, Codex, Gemini CLI, Copilot, Cursor, and Aider.
Fast Lean 4 proof feedback for coding agents. CLI, Python library, and MCP server with warm LeanInteract sessions and cached env reuse.
MCP control surface for Orcho's durable AI software delivery lifecycle
Sovereign single-binary knowledge mesh for coding agents (MCP): index, search and serve your notes + code as context. Fair-code (no reselling).
Playbooks for complex, recurring workflows — written for coding agents, shared over Git.
Governed memory for long-lived coding agents. Trust, provenance, conflict detection. Local-first.
Contribution research for agents: check repository guidance, related work, code context, and validation before writing a patch.
Trusty Squire signs up / in to websites for you so you don’t have to.
Persistent, shared memory for AI agents - so they stop forgetting and stop colliding. Markdown-native, on-prem, auditable. Speaks MCP.
Persistent engineering memory for coding agents over MCP.
Planning framework for Claude Code agents — sprint/epic/story protocol, four-agent loop (architect/developer/qa/reporter), Karpathy-style awareness wiki.