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roampal-core

Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip install roampal.

Install / Use

npx skills add roampal-ai/roampal-core

Installs into whichever agent you are using.

About this skill
📦

Other

Other agent config

Quality Score

87/100

Supported Platforms

Claude Code
<h1 align="center">roampal-core</h1> <p align="center"><strong>Outcome-Based Persistent Memory MCP Server</strong></p> <p align="center"> <a href="https://github.com/roampal-ai/roampal-core/actions/workflows/tests.yml"><img src="https://img.shields.io/github/actions/workflow/status/roampal-ai/roampal-core/tests.yml?branch=main&style=flat-square&label=tests" alt="Tests"></a> <a href="https://pypi.org/project/roampal/"><img src="https://img.shields.io/pypi/v/roampal?color=blue&style=flat-square" alt="PyPI"></a> <a href="https://github.com/roampal-ai/roampal-core/releases/latest"><img src="https://img.shields.io/github/v/release/roampal-ai/roampal-core?label=latest&color=blue&style=flat-square" alt="Latest release"></a> <a href="https://pypi.org/project/roampal/"><img src="https://img.shields.io/pypi/dm/roampal?color=blue&style=flat-square" alt="Downloads"></a> <a href="https://github.com/roampal-ai/roampal-core/stargazers"><img src="https://img.shields.io/github/stars/roampal-ai/roampal-core?color=blue&style=flat-square" alt="Stars"></a> <a href="https://github.com/roampal-ai/roampal-core/blob/main/LICENSE"><img src="https://img.shields.io/badge/license-Apache%202.0-blue?style=flat-square" alt="License"></a> <a href="https://www.python.org/downloads/"><img src="https://img.shields.io/badge/python-3.10+-blue?style=flat-square" alt="Python"></a> <a href="https://discord.com/invite/F87za86R3v"><img src="https://img.shields.io/badge/discord-join-blue?style=flat-square" alt="Discord"></a> </p> <p align="center"> <strong>Two commands. Your AI coding assistant gets outcome-based memory.</strong><br> Works with <strong>Claude Code</strong> and <strong>OpenCode</strong>. </p>

Benchmarks

85.8% on the corrected LoCoMo benchmark (non-adversarial, end-to-end answer accuracy) — validated on 1,986 questions across 10 conversations with dual grading. All figures in this section are sourced from the paper and roampal-labs (see citations at the bottom of this section).

| Result | Score | |--------|-------| | Conversational learning vs raw ingestion | +23 points (76.6% vs 53.0%, p<0.0001) | | Architecture vs model effect | Architecture ~10x larger contributor | | Poison resilience (1,135 adversarial memories) | -2.6 to -4.2 points only | | TagCascade retrieval (tags-first + CE rerank) | +1.9 Hit@1 vs pure CE (p<0.0001) |

Benchmark pipeline runs on a single GPU with no cloud dependencies. Roampal itself runs on CPU — no GPU required. Full methodology, data, and evaluation scripts: roampal-labs

Paper: "Beyond Ingestion: What Conversational Memory Learning Reveals on a Corrected LoCoMo Benchmark" (Logan Teague, April 2026)


Quick Start

pip install roampal
roampal init

Auto-detects installed tools. Restart your editor and start chatting.

Target a specific tool: roampal init --claude-code or roampal init --opencode

<p align="center"> <img src="assets/init-demo.svg" alt="roampal init demo" width="720"> </p> <details> <summary><strong>Platform Differences</strong></summary>

The core loop is identical — both platforms inject context, capture exchanges, and score outcomes. The delivery mechanism differs:

| | Claude Code | OpenCode | |--|-------------|----------| | Context injection | Hooks (stdout) | Plugin (system prompt) | | Exchange capture | Stop hook | Plugin session.idle event | | Scoring | Main LLM via score_memories tool | Independent sidecar (your chosen model, disabled by default until configured) | | Self-healing | Hooks auto-restart server on failure | Plugin auto-restarts server on failure |

Claude Code prompts the main LLM to score each exchange via the score_memories tool. OpenCode never self-scores — an independent sidecar (a separate API call) reviews each exchange as a third party, removing self-assessment bias. The score_memories tool is not registered on OpenCode. Scoring is disabled by default until you explicitly configure it via roampal sidecar setup. During setup, Roampal detects local models (Ollama, LM Studio, etc.) and lets you choose a scoring model. Zen free models are available as an explicit opt-in choice for users without a local model or API key — they route through OpenCode's proxy which may log data. A cheap or local model works great — scoring doesn't need a powerful model.

v0.5.8: Crash-resilience release — enables SQLite WAL + FULL durability on the ChromaDB catalog so hard terminations (Windows port conflicts, external process kills, power loss) no longer corrupt or empty the database. Rewrites SessionManager.mark_scored() to perform an atomic temp-file replace, guaranteeing the JSONL transcript survives a crash mid-write. Also ships 16 new automated tests covering both fixes, fixes pre-existing test debt that left the full suite red on Windows, and adds dev tooling (pytest-timeout, pytest-forked, build, twine). No data migration required; WAL is applied on the next server start.

v0.5.7: Startup garbage collection for the MCP hook's _completion_state.json. The file accumulated one entry per conversation_id ever seen with no cleanup, driving I/O amplification on every write and leaving stuck scored_this_turn=True flags that could poison the cross-session scoring fallback. New _cleanup_completion_state pass drops entries older than 30 days or with no matching transcript, enforces a 500-entry hard ceiling, and writes atomically. JSONL transcript TTL bumped 7 → 30 days to stay in lockstep with the state-file TTL. Ships paired with Roampal Desktop v0.3.3.

v0.5.6: Hardening release — closes remaining coverage gaps from the v0.5.5.x verification audit. Phantom sweep after archived cleanup, auto-cleanup under capacity pressure, dedup observability, hardened delete permissions, archive-then-add cycle tests, sidecar prompt alignment with benchmark, async scoring queue (per-session deferred retry), MCP tool definition quality rewrite (TDQS), OpenCode Go auto-detect in sidecar setup wizard, and user name extraction fix.

v0.5.5.2: Hotfix — Windows plugin install now verifies copy succeeded (post-copy size check + manual read/write fallback for OneDrive/antivirus interference). Also installs to %APPDATA%\opencode\plugins as fallback since some Electron apps resolve config paths differently on Windows. Fixes remaining cases of issue #11 where roampal init --force reported success but the plugin was empty or in the wrong directory.

v0.5.5.1: Hotfix — OpenCode Desktop now correctly switches profiles when you switch projects in the UI (issue #10). Plugin reads the active session's directory via client.session.get() instead of caching the profile at module load, so a singleton plugin across a multi-project workspace still hits the right profile per message. Also: roampal init --force actually overwrites the OpenCode plugin file now (issue #11), with clearer errors when Desktop holds a file lock.

v0.5.5: Soft-delete for memory_bank — ChromaDB hard delete doesn't actually remove vectors from HNSW, causing phantom dedup matches that block new memories after GUI deletion. Replaced with status=archived metadata update plus status filter on all query/dedup paths. Also: scoring mutex → async queue (eliminates dropped requests), sidecar summary contamination fix (delimiter fencing).

v0.5.4: Profile binding is now per-request, not per-process. Every client (MCP server, OpenCode plugin, Python hooks for Claude Code / Cursor) sends an X-Roampal-Profile header so a single FastAPI server can cleanly serve multiple profiles simultaneously. Fixes issue #7 where OpenCode Desktop's per-project ROAMPAL_PROFILE in opencode.json was ignored because the singleton FastAPI bound the profile once at startup.

v0.5.3: Sidecar scoring now requires explicit configuration (no automatic fallback to Zen or localhost). Small local models (qwen2.5:3b, etc.) that return bare JSON arrays instead of OpenAI-shaped responses are handled transparently via server-side shape tolerance.

</details>

How It Works

When you type a message, Roampal automatically injects relevant context before your AI sees it:

You type:

fix the auth bug

Your AI sees:

═══ KNOWN CONTEXT ═══
• JWT refresh pattern fixed auth loop [id:patterns_a1b2] (3d, 90% proven, patterns)
• User prefers: never stage git changes [id:mb_c3d4] (memory_bank)
═══ END CONTEXT ═══

fix the auth bug

No manual calls. No workflow changes. It just works.

The Loop

  1. You type a message
  2. Roampal injects relevant context automatically (hooks in Claude Code, plugin in OpenCode)
  3. AI responds with full awareness of your history, preferences, and what worked before
  4. Outcome scored — good advice gets promoted, bad advice gets demoted
  5. Repeat — the system gets smarter every exchange

Five Memory Collections

| Collection | Purpose | Lifetime | |------------|---------|----------| | working | Current session context | 24h — promotes if useful, deleted otherwise | | history | Past conversations | 30 days, outcome-scored | | patterns | Proven solutions | Persistent while useful, promoted from history | | memory_bank | Identity, preferences, goals | Permanent | | books | Uploaded reference docs | Permanent |

Commands

roampal init                # Auto-detect and configure installed tools
roampal init --claude-code  # Configure Claude Code explicitly
roampal init --opencode     # Configure OpenCode explicitly
roampal init --no-input     # Non-interactive setup (CI/scripts)
roampal start               # Start the HTTP server manually
roampal stop                # Stop the HTTP server
roampal status              # Check if server is running
roampal status --json       # Machine-readable status (for scripting)
roampal stats               # View memory statistics
roampal stats --json        # Machine-readable statistics (for scripting)
roampal doctor              # Diagnose installation issues
roampal summarize           # Summarize long memories (retroactive cleanup)
roampal score               # Score the last exchange (manual/testing)
roampal context             # Output recent exchange context
roampal ingest <file>       # Add documents to books collection
roampal books               # List all ingested books
roampal remove <title>      # Remove a book by title
roampal sidecar status      # Check scoring model configuration (OpenCode)
roampal sidecar setup       # Configure scoring model (OpenCode)
roampal sidecar test        # Test scoring model response format (OpenCode)
roampal retag               # Re-extract tags on memories using sidecar LLM
roampal sidecar disable     # Disable scoring (removes config, retrieval still works)

# Sidecar scope flags (v0.5.3+) — OpenCode merges project-local over user-global config:
roampal sidecar setup --scope user       # Write only to user-global config (~/.config/opencode/)
roampal sidecar setup --scope project    # Write only to project-local opencode.json in cwd ancestry
roampal sidecar setup                    # Auto-detects: uses project-local if shadow exists, otherwise user-global

# Sidecar scope flags for disable (v0.5.3+):
roampal sidecar disable --scope user       # Clear only from user-global config
roampal sidecar disable --scope project    # Clear only from project-local opencode.json
roampal sidecar disable                    # Auto-detects scope same as setup

# Named memory profiles (v0.5.1) — isolate memory per project, per client, etc.
roampal profile list                         # List registered profiles
roampal profile show                         # Show active profile and its path
roampal profile create <name>                # Create auto-located profile
roampal profile register <name> --path <dir> # Register an existing directory
roampal pro

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars51
CategoryAI
Updated25d ago
Forks7

Languages

Python

Security Score

100/100

Audited on Aug 27, 2026

No findings