Coding Agent Session Finder
code-yeongyu/oh-my-openagent
Finds, reads and reconstructs past coding-agent sessions across Codex, Claude, OpenCode, Senpi and many other local agent logs.
Forecast what a subject will do next from their mined behavior patterns — with a calibrated, horizon-decayed confidence and provenance.
$ npx skills add ThinkfleetAI/memmesh --skill predict -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ThinkfleetAI/memmesh predict --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integrations/memmesh-plugin/skills/predict .claude/skills/predict && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "predict" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/predict into .claude/skills/predict/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "predict", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/predictType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ThinkfleetAI/memmesh --skill predict -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ThinkfleetAI/memmesh predict --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .agents/skills && cp -r skills-src/integrations/memmesh-plugin/skills/predict .agents/skills/predict && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "predict" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/predict into .agents/skills/predict/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "predict", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ThinkfleetAI/memmesh --skill predict -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ThinkfleetAI/memmesh predict --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/integrations/memmesh-plugin/skills/predict .cursor/skills/predict && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "predict" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/predict into .cursor/skills/predict/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "predict", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ThinkfleetAI/memmesh.git --path integrations/memmesh-plugin/skills/predict--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ThinkfleetAI/memmesh --skill predict -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ThinkfleetAI/memmesh predict --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/integrations/memmesh-plugin/skills/predict .gemini/skills/predict && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "predict" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/predict into .gemini/skills/predict/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "predict", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ThinkfleetAI/memmesh predictInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ThinkfleetAI/memmesh --skill predict -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .github/skills && cp -r skills-src/integrations/memmesh-plugin/skills/predict .github/skills/predict && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "predict" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/predict into .github/skills/predict/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "predict", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ThinkfleetAI/memmesh --skill predict -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ThinkfleetAI/memmesh predict --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/integrations/memmesh-plugin/skills/predict .opencode/skills/predict && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "predict" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/predict into .opencode/skills/predict/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "predict", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
predictForecast what a subject will do next from their mined behavior patterns — with a calibrated, horizon-decayed confidence and provenance.
Predict is an agent skill from ThinkfleetAI/memmesh. Forecast what a subject will do next from their mined behavior patterns — with a calibrated, horizon-decayed confidence and provenance. Use when the user asks "what is this user/account likely to do next", "will X churn/convert/ reorder", or wants a forward prediction rather than a recall of known facts. This is a MemMesh capability a plain memory layer does not have.
Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Agent memory. The repository describes itself as: Persistent, self-improving memory for AI agents. Local-first Rust memory engine with MCP support. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit bba48f8. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are jsonc and typescript).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Predict loads about 619 tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 248 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from ThinkfleetAI/memmesh at commit bba48f8, republished under its Apache-2.0 licence (© ThinkfleetAI). 248 words, ~619 tokens.
.claude/skills/predict/SKILL.md (or your agent's skills folder).⚙️ Requires MemMesh hosted mode. Calibrated prediction and behavior discovery run on the hosted engine — set your
mm-API key. On a local / open-source install these tools (memory_predict,memory_build_context) are not registered; if a call returns "unknown tool", tell the user this is a hosted capability and fall back tosearch/recallfor what's already known.
Turn accumulated memory into a forward forecast. Unlike search ("what do we
know"), predict answers "what happens next" — and it tells you how confident it
honestly is, or abstains.
{ "name": "memory_predict",
"arguments": { "subjectKind": "user", "subjectId": "<id>",
"horizonDays": 30, "minConfidence": 0.5, "limit": 20 } }Returns ranked predictions, each with a confidence decayed over the horizon and the provenance behind it. Confidence is calibrated — 0.8 means it's right ~80% of the time — not a raw model logit.
why skill to dig
into calibration/provenance.The declarative "predict anything" surface (lattice.predictTarget with
target.kind ∈ event_occurrence | numeric | event_time | anomaly) lets you add
a new prediction with no code change — just name the target. It runs on the
hosted gRPC/SDK path:
await memory.lattice.predictTarget({
subject: { kind: "account", externalId: "acme" },
target: { kind: "event_occurrence", name: "churn" },
});Predictions come from mined behavior_pattern memories. If memory_predict
returns nothing, the subject may not have enough observed history yet — feed more
via observe, or check what patterns exist with the behaviors skill.
© ThinkfleetAI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in integrations/memmesh-plugin/skills/predict of ThinkfleetAI/memmesh.
Open the folder on GitHubat commit bba48f8
Predict next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Predict this skillThinkfleetAI/memmesh | 420 | — | ~619 | Automated safety check: Pass | Apache-2.0 | |
| Coding Agent Session Findercode-yeongyu/oh-my-openagent | 70k | 1 repos | ~2.8k | Automated safety check: Pass | Custom licence | |
| Claude-Mem Cloud Syncthedotmack/claude-mem | 98k | 1 repos | ~1k | Automated safety check: Notes | Apache-2.0 | |
| Cognee CLI Memory Commandstopoteretes/cognee | 32k | 1 repos | ~2.2k | Automated safety check: Notes | Apache-2.0 | |
| Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills | 21k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Claude-Mem Searchthedotmack/claude-mem | 98k | 1 repos | ~511 | Automated safety check: Pass | Apache-2.0 |
code-yeongyu/oh-my-openagent
Finds, reads and reconstructs past coding-agent sessions across Codex, Claude, OpenCode, Senpi and many other local agent logs.
thedotmack/claude-mem
Checks claude-mem cloud sync status and guides you through connecting a cmem.ai Pro account without the sync token ever passing through the chat.
topoteretes/cognee
Drives cognee from the terminal with remember, recall, forget and improve memory commands, dataset and config management and database migrations.
KKKKhazix/khazix-skills
Brings project docs, agent rule files, authorized memory and leftover workspace files back in line with what the code and runtime actually do at the end of a work session.
thedotmack/claude-mem
Searches the user's persistent cross-session memory for timestamped observations synthesized from past agent sessions on cmem.ai.
gastownhall/beads
Tracks multi-session work with dependencies in the bd issue tracker so the agent can find ready tasks and recover its context after conversation compaction.
ThinkfleetAI/memmesh
Surface emergent behavior patterns MemMesh has mined from a subject's history — recurring habits nobody predefined, each with prevalence, stability, and the evidence behind it.
ThinkfleetAI/memmesh
Run MemMesh's competitive benchmark harness (LOCOMO / BEAM) to compare retrieval quality, tokens, latency, and cost against Mem0, Zep, full-context, and naive-RAG baselines.
ThinkfleetAI/memmesh
Load relevant MemMesh context before starting work — searches memory and, for a specific subject, assembles a token-budgeted bundle (profile + behavior patterns + forward predictions + top memories)…
ThinkfleetAI/memmesh
Query MemMesh's bi-temporal knowledge graph — multi-hop reasoning across entities, point-in-time "what did we believe on date X", and anticipatory retrieval via spreading activation.
ThinkfleetAI/memmesh
MemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK.
ThinkfleetAI/memmesh
MemMesh TypeScript SDK reference (@thinkfleet/memory-sdk) for the hosted platform at app.memmesh.ai.
Categories
Forecast what a subject will do next from their mined behavior patterns — with a calibrated, horizon-decayed confidence and provenance. Predict is an agent skill from ThinkfleetAI/memmesh. Forecast what a subject will do next from their mined behavior patterns — with a calibrated, horizon-decayed confidence and provenance.
Predict fits situations like: the user asks what is this user/account likely to do next; will X churn/convert/ reorder; wants a forward prediction rather than a recall of known facts.
Run `npx skills add ThinkfleetAI/memmesh --skill predict -a claude-code`. Or copy the skill folder (integrations/memmesh-plugin/skills/predict in ThinkfleetAI/memmesh) into .claude/skills/predict in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ThinkfleetAI/memmesh --skill predict -a codex`. Or copy the skill folder (integrations/memmesh-plugin/skills/predict in ThinkfleetAI/memmesh) into .agents/skills/predict in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ThinkfleetAI/memmesh --skill predict -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/predict, .gemini/skills/predict, .github/skills/predict and .opencode/skills/predict in your project.
SKILL.md names no scripts, command-line tools or credentials: Predict is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Predict is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 619 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Predict: Coding Agent Session Finder (code-yeongyu/oh-my-openagent, 70k stars), Claude-Mem Cloud Sync (thedotmack/claude-mem, 98k stars), Cognee CLI Memory Commands (topoteretes/cognee, 32k stars) and Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ThinkfleetAI (a GitHub organization) maintains it in ThinkfleetAI/memmesh, which has 420 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on August 25, 2026.
Source: ThinkfleetAI/memmesh on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.