Spaces:
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File size: 2,672 Bytes
116524e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | # ─── Add these sections to your OpenClaw AGENTS.md ───
#
# Paste them at the end of ~/.openclaw/workspace/AGENTS.md (or wherever
# your AGENTS.md lives). The agent reads AGENTS.md at session start and
# will follow these instructions automatically.
#
# REQUIREMENTS:
# - Build the ACE-extended Docker image (see Dockerfile.ace)
# - Pass your LLM API key through docker-compose environment:
#
# environment:
# ACE_MODEL: "bedrock/us.anthropic.claude-sonnet-4-20250514-v1:0"
# # Pick ONE of these depending on your provider:
# AWS_BEARER_TOKEN_BEDROCK: ${AWS_BEARER_TOKEN_BEDROCK}
# ANTHROPIC_API_KEY: ${ANTHROPIC_API_KEY}
# OPENROUTER_API_KEY: ${OPENROUTER_API_KEY}
# LITELLM_API_KEY: ${LITELLM_API_KEY}
## Auto-Learning
At the start of each session, before responding to the user's first message,
run:
ace-learn
After it completes, report the results to the user. Include:
- How many new sessions were processed
- How many new strategies were added (and their IDs)
- Total strategy count in the skillbook
Example:
> **ACE Learning Report**
> Processed 2 new sessions (6 total, 4 previously processed).
> Added 3 new strategies: `error_handling-00005`, `code_style-00008`,
> `debugging-00003`. Skillbook now contains 14 strategies.
If there were no new sessions, report that briefly:
> **ACE:** No new sessions to learn from. Skillbook has 14 strategies loaded.
If the command fails, tell the user that auto-learning failed and suggest they
check their API key configuration, then continue normally.
If `ace-learn` is not found, tell the user ACE is not installed and continue.
### On-demand learning
If the user asks to "learn from this session" (or similar), process only the
current session's transcript:
ace-learn <path-to-current-session.jsonl>
Find the current session file in `~/.openclaw/agents/main/sessions/` (it will
be the most recently modified `.jsonl` file). Report what was learned using the
same format as above.
Do **not** reprocess all sessions — only the current one.
## Learned Strategies
After running `ace-learn`, read the file `skills/kayba-ace/ace_skillbook.md`
into your context. This file contains strategies learned from past sessions.
**Important:** You must explicitly read the file — markdown links are not
auto-inlined. Use your file-reading tools to load the full content.
When a strategy is relevant to the current task:
1. Apply it.
2. Cite the strategy ID (e.g. `conversation_style-00003`) so the user can
trace which learned behaviour influenced the response.
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